CN117010668A

CN117010668A - Purchasing resource allocation method, purchasing resource allocation device, computer equipment and storage medium

Info

Publication number: CN117010668A
Application number: CN202311259297.9A
Authority: CN
Inventors: 张学明
Original assignee: Meiyun Zhishu Technology Co ltd
Current assignee: Meiyun Zhishu Technology Co ltd
Priority date: 2023-09-27
Filing date: 2023-09-27
Publication date: 2023-11-07
Anticipated expiration: 2043-09-27
Also published as: CN117010668B

Abstract

The embodiment of the specification provides a purchasing resource allocation method, a purchasing resource allocation device, computer equipment and a storage medium. The method comprises the following steps: determining a purchase resource set; the purchasing resource set comprises a target material type, wherein the target material type corresponds to a plurality of supplier identifiers; if the target material type belongs to a preset management and control group, determining a corresponding target distribution proportion relation among a plurality of supplier identifiers by taking a management and control rule corresponding to the preset management and control group as a constraint; the preset control group is at least one of a replacement material group and a matched material group; the corresponding control rule of the replacement material group indicates that the sum of the distribution proportion of all material types in the replacement material group is equal to the specified percentage, and the corresponding control rule of the matched material group indicates that the distribution proportion of each material type in the matched material group is the same; and determining purchasing resource allocation data between the target material type and the plurality of supplier identifiers according to the target allocation proportion relation, so that the flexibility of purchasing resource allocation can be improved.

Description

Purchasing resource allocation method, purchasing resource allocation device, computer equipment and storage medium

Technical Field

The embodiment of the specification relates to the technical field of computers, in particular to a purchasing resource allocation method, a purchasing resource allocation device, computer equipment and a storage medium.

Background

In the production and manufacturing process, the enterprise needs to purchase the same or different types of materials from the suppliers, so as to shorten the delivery period, multiple suppliers are generally selected to jointly complete the purchase of the materials, or after determining that the same or different types of purchase resources are to be purchased, the enterprise can allocate the purchase resources among the multiple suppliers, so as to realize the purchase of multiple types of materials from the multiple suppliers.

In the related art, when purchasing resources are distributed among multiple suppliers, purchasing personnel of a purchasing organization are required to manually determine a purchasing resource distribution scheme, purchasing is performed according to the distribution scheme, purchasing is difficult to be performed according to a linkage control rule or constraint condition among different materials, and the purchasing resource distribution flexibility is low.

Accordingly, there is a need to provide a method for allocating purchasing resources, so as to improve the flexibility of purchasing resource allocation.

Disclosure of Invention

In view of this, various embodiments of the present disclosure are directed to providing a purchasing resource allocation method, apparatus, computer device, and storage medium to improve flexibility in purchasing resource allocation.

The embodiment of the specification provides a method for distributing purchased resources, which comprises the following steps: determining a purchase resource set; the purchasing resource set comprises a target material type, wherein the target material type corresponds to a plurality of supplier identifiers; if the target material type belongs to a preset management and control group, determining a corresponding target distribution proportion relation among the plurality of supplier identifiers by taking a management and control rule corresponding to the preset management and control group as a constraint; wherein the preset control group is at least one of a replacement material group and a matched material group; the control rule corresponding to the replacement material group indicates that the sum of the distribution proportion of all material types in the replacement material group is equal to a specified percentage, and the control rule corresponding to the matched material group indicates that the distribution proportion of each material type in the matched material group is the same; and determining purchasing resource allocation data between the target material type and the plurality of supplier identifiers according to the target allocation proportion relation.

The embodiment of the specification provides a purchasing resource distribution device, which comprises: the first determining module is used for determining a purchased resource set; the purchasing resource set comprises a target material type, wherein the target material type corresponds to a plurality of supplier identifiers; the second determining module is used for determining a corresponding target distribution proportion relation among the plurality of supplier identifiers by taking a management and control rule corresponding to the preset management and control group as a constraint if the target material type belongs to the preset management and control group; wherein the preset control group is at least one of a replacement material group and a matched material group; the control rule corresponding to the replacement material group indicates that the sum of the distribution proportion of all material types in the replacement material group is equal to a specified percentage, and the control rule corresponding to the matched material group indicates that the distribution proportion of each material type in the matched material group is the same; and the third determining module is used for determining purchasing resource allocation data between the target material type and the plurality of supplier identifiers according to the target allocation proportion relation.

The embodiment of the specification provides a computer device, which comprises a memory and a processor, wherein the memory stores a computer program, and the processor realizes the method for allocating the purchased resources according to any one of the embodiments when executing the computer program.

The present description provides a computer-readable storage medium having stored thereon a computer program which, when executed by a processor, implements the method for allocating procurement resources according to any of the above embodiments.

The various embodiments provided herein provide for determining a set of procurement resources; the purchasing resource set comprises a target material type, wherein the target material type corresponds to a plurality of supplier identifications, and if the target material type belongs to a preset management and control group, a target distribution proportion relation among the plurality of supplier identifications is determined by taking a management and control rule corresponding to the preset management and control group as a constraint; the preset control group is at least one of a replacement material group and a matched material group; the corresponding control rule of the replacement material group indicates that the sum of the distribution proportion of all material types in the replacement material group is equal to the specified percentage, and the corresponding control rule of the matched material group indicates that the distribution proportion of each material type in the matched material group is the same; and determining purchasing resource allocation data between the target material type and the plurality of supplier identifiers according to the target allocation proportion relation, so that the flexibility of purchasing resource allocation can be improved.

Drawings

FIG. 1 is a schematic diagram of a procurement resource allocation system provided by an embodiment of the description;

FIG. 2 is a schematic flow chart of a method for allocating purchasing resources according to an embodiment of the present disclosure;

fig. 3 is a schematic flow chart of a method for determining a distribution ratio according to an embodiment of the present disclosure;

fig. 4 is a flow chart of a method for determining a distribution ratio according to an embodiment of the present disclosure;

FIG. 5 is a schematic flow chart of a method for allocating purchasing resources according to an embodiment of the present disclosure;

FIG. 6 is a schematic flow chart of a method for allocating purchasing resources according to an embodiment of the present disclosure;

FIG. 7 is a schematic flow chart of a method for allocating purchasing resources according to an embodiment of the present disclosure;

FIG. 8 is a schematic flow chart of a method for allocating purchasing resources according to an embodiment of the present disclosure;

FIG. 9 is a schematic flow chart of a method for allocating purchasing resources according to an embodiment of the present disclosure;

FIG. 10 is a schematic flow chart of a method for allocating purchasing resources according to an embodiment of the present disclosure;

FIG. 11 is a schematic diagram of a purchasing resource allocation device according to an embodiment of the present disclosure;

fig. 12 is a schematic diagram of a computer device according to an embodiment of the present disclosure.

Detailed Description

In order to make the technical solution of the present specification better understood by those skilled in the art, the technical solution of the present specification embodiment will be clearly and completely described below with reference to the accompanying drawings in the embodiment of the present specification, and it is apparent that the described embodiment is only a part of the embodiment of the present specification, but not all the embodiments. All other embodiments, which can be made by one of ordinary skill in the art without undue burden from the present disclosure, are intended to be within the scope of the present disclosure.

In the manufacturing process, an enterprise receives a customer order and needs to place a purchase order to a supplier according to the customer order to purchase the same or different types of materials from the supplier, and in order to shorten the delivery period, improve the material purchase quality or reduce the purchase cost, a plurality of suppliers are generally selected to jointly complete the purchase of the materials, or after determining the same type or different types of purchase resources to be purchased, the enterprise can allocate the purchase resources among the suppliers to purchase the materials of multiple types from the suppliers.

In the automotive industry, it is often necessary to allocate purchasing resources to material types having a replacement material relationship and a matching material relationship, where different material types may have a situation where they may be replaced with each other, and where multiple identical material types supplied by different suppliers may have a situation where they may be replaced with each other, where multiple material types supplied by the same or different suppliers may need to be matched and matched for use, for example, a matching relationship between a light panel of a light bar and an LED lamp, etc. In the related art, when purchasing resources are distributed among a plurality of suppliers, purchasing personnel of purchasing organizations are required to manually determine a purchasing resource distribution scheme, purchasing is performed according to the distribution scheme, purchasing is difficult to be performed according to linkage control rules or constraint conditions among different materials in the related art, and the flexibility of purchasing resource distribution is required to be improved; in the related technology, the distribution of the purchased resources is performed in linkage with the management and control rule through the evaluation information of multiple dimensions of the suppliers, and the rationality of the distribution of the purchased resources is required to be improved.

Therefore, it is necessary to provide a method for allocating purchasing resources, by determining a purchasing resource set including a target material type, where the target material type corresponds to a plurality of supplier identifiers, and if the target material type belongs to a preset management and control group, determining a target allocation proportion relationship corresponding to the plurality of supplier identifiers by using a management and control rule corresponding to the preset management and control group as a constraint; the preset control group is at least one of a replacement material group and a matched material group, the control rule corresponding to the replacement material group indicates that the sum of the distribution proportion of all material types in the replacement material group is equal to a specified percentage, and the control rule corresponding to the matched material group indicates that the distribution proportion of each material type in the matched material group is the same; and then determining the purchasing resource allocation data between the target material type and the plurality of supplier identifications according to the target allocation proportion relation, so that the purchasing resource allocation data corresponding to the supplier identifications can be determined based on the replacement management control rule and the matched management control rule which are required to be met by the target material type, and the target material type is allocated to the suppliers represented by the corresponding supplier identifications according to the corresponding purchasing resource allocation data, thereby improving the flexibility of purchasing resource allocation.

The present description embodiment provides a procurement resource allocation system, referring to fig. 1, procurement resource allocation system 100 may include a procurement organization configuration component 110, a regulatory rule maintenance component 120, and a procurement resource allocation component 130.

Specifically, the procurement organization configuration component 110 can be utilized to configure procurement organization information. Illustratively, the purchase organization information may include a purchase organization identification representing a corresponding purchase organization and a factory identification representing a corresponding factory entity. Illustratively, the procurement organization information may further include one or more of an allocation effective date, an allocation expiration date, and standard payment conditions. The purchasing organization identifiers and the factory identifiers can be in one-to-one correspondence, one-to-many correspondence or many-to-one correspondence, that is, the purchasing organization corresponding to one purchasing organization identifier can be allocated to the factory entity corresponding to one factory identifier or to the factory entity corresponding to each of the plurality of factory identifiers, or the purchasing organization corresponding to each of the plurality of purchasing organization identifiers can be allocated to the factory entity corresponding to the same factory identifier.

Specifically, the procurement resource allocation system 100 may also include a supplier resource storage module and a material price storage module.

The supplier resource storage module may store at least a plurality of supplier identifications and at least one material type corresponding to each supplier identification, the supplier identifications representing corresponding suppliers. Illustratively, the supplier resource storage module may further store a purchase organization identifier and a factory identifier corresponding to each material type, so that the purchase organization identifier and the factory identifier in the supplier resource storage module may be matched according to the purchase organization identifier and the factory identifier in the configured purchase organization information, thereby querying the supplier identifier and the material type in the supplier resource storage module corresponding to the purchase organization identifier and the factory identifier in the purchase organization information. For example, the supplier resource storage module may store a plurality of supplier identifications and at least one material type corresponding to each supplier identification in a format of "purchase organization identification + factory identification + material type + supplier identification".

Illustratively, the material type may be represented by a material code or material name, the vendor identification may be represented by a vendor code or vendor name, and the factory identification may be represented by a factory code or factory name.

The material price storage module may store at least one price data of at least one material type corresponding to each supplier identifier, where the at least one material type corresponds to the at least one price data one-to-one. Illustratively, the material price storage module may further store a purchase organization identifier and a factory identifier corresponding to each material type, so that price information corresponding to the material types provided by the provider identifier for the purchase organization identifier and the factory identifier can be determined according to the purchase organization identifier and the factory identifier in the purchase organization information, and the provider identifier and the material type corresponding to the purchase organization identifier and the factory identifier in the purchase organization information, which are queried from the provider resource storage module, and are respectively matched with the purchase organization identifier and the factory identifier, the provider identifier and the material type in the material price storage module. For example, the material price storage module may store price data for at least one material type corresponding to each supplier identifier in the format "purchase organization identifier + factory identifier + material type + price data + supplier identifier".

In particular, the procurement resource allocation system 100 may further include a provider performance data storage module and a provider quality assessment data storage module.

The provider performance data storage module may store at least one piece of performance data of at least one material type corresponding to each provider identifier, where the at least one material type corresponds to the at least one piece of performance data one-to-one. The supplier performance data storage module may also store a purchase organization identifier and a factory identifier corresponding to each material type, so that performance data corresponding to the material types provided by the supplier identifier for the purchase organization identifier and the factory identifier can be determined according to the purchase organization identifier and the factory identifier in the purchase organization information and the supplier identifier and the material type corresponding to the purchase organization identifier and the factory identifier in the purchase organization information, which are queried from the supplier resource storage module, and the purchase organization identifier and the factory identifier, the supplier identifier and the material type in the supplier performance data storage module respectively. For example, the supplier performance data storage module may store performance data for at least one material type corresponding to each supplier identifier in the format "procurement organization identifier + factory identifier + material type + performance data + supplier identifier".

The supplier quality assessment data storage module may store at least one quality assessment data of at least one material type corresponding to each supplier identification, wherein the at least one material type corresponds to the at least one quality assessment data one-to-one. The quality evaluation data may be determined according to a material inspection sheet, and the provider quality evaluation data storage module may further store a purchase organization identifier and a factory identifier corresponding to each material type, so that quality evaluation data corresponding to the material types provided by the provider identifiers for the purchase organization identifier and the factory identifier may be determined according to the purchase organization identifier and the factory identifier in the purchase organization information, and the provider identifier and the material type corresponding to the purchase organization identifier and the factory identifier in the purchase organization information, which are queried from the provider resource storage module, and respectively match with the purchase organization identifier and the factory identifier, the provider identifier, and the material type in the provider quality evaluation data storage module. For example, the supplier quality assessment data storage module may store quality assessment data for at least one material type corresponding to each supplier identification in the format "purchase organization identification+factory identification+material type+quality assessment data+supplier identification".

Specifically, the governance rule maintenance component 120 can be utilized to maintain governance rules for a preset governance group. The preset control group can be a replacement group or a matched group. The corresponding regulatory rule for a replacement batch indicates that the sum of the numbers of all material types within the replacement batch is unchanged or the sum of the distribution ratios is equal to a specified percentage, which may be, for example, 100%, any two material types within the replacement batch being interchangeable with each other. The corresponding control rule of the matched material group indicates that the distribution proportion of each material type in the matched material group is the same, or the material types in the matched material group need to be matched for use, and the distribution quantity or the distribution proportion of all the material types in the matched material group are equal.

Illustratively, the replacement material sets may be represented by replacement sequence numbers or replacement codes, e.g., TH001, TH0002, etc. The matched set of materials may be represented by a matched sequence number or a matched code. For example PT0001, PT0002, etc.

For example, referring to table 1, taking the purchase organization designation "organization 1", the plant designation "plant 1" as an example, table 1 may be used to describe a replacement material set with a replacement number TH 001.

TABLE 1

For example, referring to Table 2, taking the purchase organization designation "organization 1" and the plant designation "plant 1" as examples, table 2 may be used to describe the companion material groups with companion serial numbers PT0001 and PT 0002.

TABLE 2

In particular, procurement resource allocation component 130 may be utilized to allocate procurement resources. Purchasing resource allocation component 130 may obtain purchasing organization information in purchasing organization configuration component 110; the material type matched with the purchase organization identification and the factory identification and the supplier identification corresponding to the material type can be searched from the supplier resource storage module according to the purchase organization identification and the factory identification in the purchase organization information; price data, performance data and quality evaluation data matched with the purchase organization identification, the factory identification, the material type and the supplier identification can be searched from the material price storage module, the supplier performance data storage module and the supplier quality evaluation data storage module according to the purchase organization identification and the factory identification in the purchase organization information and according to the material type and the supplier identification searched from the supplier resource storage module, wherein the price data can be determined based on the distribution effective date, the distribution expiration date and the standard payment condition in the purchase organization information; and can determine purchasing resource allocation data between the material type and the corresponding multiple supplier identifications based on price data, performance data and quality evaluation data of the multiple suppliers for the material type according to the multiple supplier identifications corresponding to the material type and in combination with the management rules maintained by the management rules maintenance component 120.

Specifically, the procurement resource allocation component 130 may also connect with an enterprise resource planning system (Enterprise Resource Planning, ERP) to send the determined procurement resource allocation data to the ERP system 200, so that the ERP system 200 may monitor and alert the procurement execution of the procurement resource allocation data based on the procurement resource allocation data.

An embodiment of the present disclosure provides a method for allocating purchasing resources, referring to fig. 2, fig. 2 is a schematic flow chart of the method for allocating purchasing resources provided in the present disclosure, where the method includes the steps of the method according to the present disclosure, but may include more or less steps based on conventional or non-creative labor. The order of steps recited in the embodiments is merely one implementation of a plurality of step execution orders and does not represent a unique execution order. In actual system or server product execution, the methods illustrated in the embodiments may be performed sequentially or in parallel (e.g., in parallel processors or in the context of multi-threaded processing). The purchased resource allocation method may be applied to the purchased resource allocation component 130 in the purchased resource allocation system 100, and as shown in fig. 2 in particular, the purchased resource allocation method may include the following steps.

Step S210: determining a purchase resource set; the purchasing resource set comprises a target material type, and the target material type corresponds to a plurality of provider identifiers.

In this embodiment, the set of purchased resources may be determined by: acquiring purchasing organization information; searching a material type matched with the purchase organization identification and the factory identification and a provider identification corresponding to the material type from a provider resource storage module according to the purchase organization identification and the factory identification in the purchase organization information; and adding the searched material types corresponding to the plurality of supplier identifiers to the purchasing resource set, and adding the searched material types belonging to the same replacing material group to the purchasing resource set. That is, the set of procurement resources may include a plurality of material types, any material type in the set of procurement resources may correspond to a plurality of vendor identifications, and/or any material type in the set of procurement resources may belong to any replacement material group. For example, the vendor identifiers corresponding to the plurality of different material types in any one replacement set may be the same or different, and the vendor identifiers corresponding to the same material type in any one replacement set may be different.

Step S220: if the target material type belongs to a preset management and control group, determining a corresponding target distribution proportion relation among a plurality of supplier identifiers by taking a management and control rule corresponding to the preset management and control group as a constraint; the preset control group is at least one of a replacement material group and a matched material group; the corresponding control rule of the replacement material group indicates that the sum of the distribution proportion of all material types in the replacement material group is equal to the specified percentage, and the corresponding control rule of the matched material group indicates that the distribution proportion of each material type in the matched material group is the same.

In this embodiment, the purchasing resource allocation component may determine whether the target material type belongs to a preset management and control group, and if the target material type belongs to the preset management and control group, determine a target allocation proportion relationship corresponding to the plurality of supplier identifiers by using a management and control rule corresponding to the preset management and control group as a constraint, so that the target allocation proportion relationship of the target material type among the plurality of suppliers satisfies the management and control rule corresponding to the preset management and control group to which the target material type belongs. Specifically, for the target material type, the plurality of supplier identifiers collectively correspond to purchase evaluation data, wherein the purchase evaluation data may be used to represent a degree of difference between at least some of the plurality of supplier identifiers, and the purchase resource allocation component may determine a target allocation proportionality relationship of the target material type among the plurality of supplier identifiers based on the purchase evaluation data collectively corresponding to the plurality of supplier identifiers by using a management rule corresponding to a preset management group as a constraint.

Illustratively, the target material type may be material 1 in the purchase resource set, and the plurality of supplier identifications corresponding to material 1 may be supplier 1, supplier 2, and supplier 3. Taking the purchase organization identifier as "organization 1" and the factory identifier as "factory 1" as an example, please continue to refer to table 1, the material 1 corresponding to the supplier 1 may belong to the replacement material group TH001, and the material 1 corresponding to the supplier 1 may further include the material 2 and the material 3 corresponding to each of the supplier 2 and the supplier 3 in the TH 001. The TH001 corresponding regulatory rule is that the sum of the distribution ratios of each of the material 1, the material 2, and the material 3 among the corresponding suppliers 1, 2, and 3 is equal to a specified percentage. The purchasing resource allocation component can determine the target allocation proportion relation of the materials 1 among the suppliers 1, 2 and 3 based on purchasing evaluation data of the materials 1 of the suppliers 1, 2 and 3 corresponding to the materials 1 by taking the management and control rule corresponding to the replacement material group TH001 as a constraint condition.

Illustratively, the target material type may be material 1 in the purchase resource set, and the plurality of supplier identifications corresponding to material 1 may be supplier 1, supplier 2, and supplier 3. Taking the purchase organization identifier as "organization 1" and the factory identifier as "factory 1" as an example, please continue to refer to table 2, the material 1 corresponding to the supplier 1 may belong to the set of materials PT0001, and the material 1 corresponding to the supplier 1 may further include the material 2 corresponding to the supplier 2 in the set of materials PT 0001. The corresponding regulatory rule for PT0001 is that the distribution ratio of each of material 1 and material 2 between the corresponding suppliers 1 and 2 is equal. The purchasing resource allocation component can determine the target allocation proportion relation of the materials 1 among the suppliers 1, 2 and 3 based on purchasing evaluation data of the materials 1 of the suppliers 1, 2 and 3 corresponding to the materials 1 by taking the management rule corresponding to the matched material group PT0001 as a constraint condition.

Step S230: and determining purchasing resource allocation data between the target material type and the plurality of supplier identifiers according to the target allocation proportion relation.

In this embodiment, after obtaining the target distribution proportion relationship between the corresponding multiple supplier identifiers of the target material type, the purchasing resource distribution component may determine purchasing resource distribution data between the target material type and the multiple supplier identifiers according to the target distribution proportion relationship. As an example, the target material type may be material 1, the corresponding plurality of supplier identifications may be supplier 1, supplier 2, and supplier 3, the target allocation proportion of material 1 between the corresponding supplier 1, supplier 2, and supplier 3 may be 5:4:1, i.e., 50%:40%:10%, and the procurement resource allocation data between material 1 and supplier 1, supplier 2, and supplier 3 may be determined to be 50%, 40%, and 10%, respectively, according to the target allocation proportion.

In the above embodiment, by determining the purchasing resource set, the target material type in the purchasing resource set corresponds to a plurality of supplier identifications, if the target material type belongs to a preset management and control group, determining a corresponding target allocation proportion relation between the plurality of supplier identifications by taking a management and control rule corresponding to the preset management and control group as a constraint, and determining purchasing resource allocation data between the target material type and the plurality of supplier identifications according to the target allocation proportion relation, the purchasing resource allocation data corresponding to the corresponding supplier identifications can be determined based on the replacement management and control rule and the matching management and control rule in the management and control rule required to be satisfied by the target material type, so that the purchasing resource allocation data corresponding to the corresponding supplier identifications can be allocated to the target material type, and the purchasing resource allocation flexibility is improved.

In some embodiments, the determining manner of the target allocation proportion relation may include: and searching in the corresponding relation between the purchase evaluation data and the purchase distribution proportion according to the purchase evaluation data which are commonly corresponding to the plurality of supplier identifiers, and determining the target distribution proportion relation among the plurality of supplier identifiers.

Specifically, the purchasing resource allocation component may store a correspondence between purchasing evaluation data and purchasing allocation proportion, and after determining purchasing evaluation data commonly corresponding to a plurality of supplier identifiers of the target material type, may search for the correspondence between the purchasing evaluation data and the purchasing allocation proportion according to the purchasing evaluation data commonly corresponding to the plurality of supplier identifiers, and use the searched purchasing allocation proportion as a target allocation proportion relationship between the plurality of supplier identifiers. For example, taking the number of the plurality of supplier identifiers corresponding to the target material type as 2 and 3 as an example, referring to table 3, table 3 may represent a correspondence relationship between purchase evaluation data and a purchase allocation ratio.

TABLE 3 Table 3

In the above embodiment, by searching the purchasing evaluation data for representing the degree of difference between the plurality of supplier identifiers in the correspondence between the purchasing evaluation data and the purchasing allocation proportion, the target allocation proportion relationship between the plurality of supplier identifiers corresponding to the purchasing evaluation data can be determined, so that when the degree of difference between the plurality of supplier identifiers is large, the purchasing resource allocation data between the plurality of supplier identifiers determined based on the target allocation proportion relationship is also large, and when the degree of difference between the plurality of supplier identifiers is small, the purchasing resource allocation data between the plurality of supplier identifiers is also small, and thus, the rationality of purchasing resource allocation can be improved more effectively.

In some embodiments, the correspondence between the purchase evaluation data and the purchase allocation proportion may be a correspondence between a purchase evaluation interval in which the purchase evaluation data is located and the purchase allocation proportion. Specifically, the correspondence between the purchase evaluation interval and the purchase allocation ratio may include a plurality of continuous purchase evaluation intervals and a plurality of purchase allocation ratios, wherein the plurality of purchase evaluation intervals are in one-to-one correspondence with the plurality of purchase allocation ratios. For example, with continued reference to Table 3, table 3 may represent a correspondence between purchase evaluation intervals and purchase allocation ratios, and the successive plurality of purchase evaluation intervals may include purchase evaluation intervals (0, 7), (7, 10), (10, 25), and (25, 50), each having a corresponding purchase allocation ratio.

In this embodiment, referring to fig. 3, according to purchase evaluation data commonly corresponding to a plurality of provider identifiers, searching in a correspondence between the purchase evaluation data and a purchase allocation ratio, and determining a target allocation ratio relationship between the plurality of provider identifiers may include the following steps.

Step S310: and determining a target purchase evaluation interval in which the purchase evaluation data commonly corresponding to the plurality of provider identifiers are located.

Specifically, according to the purchase evaluation data commonly corresponding to the plurality of provider identifications, searching is performed in a correspondence between the purchase evaluation interval and the purchase allocation proportion, and the purchase evaluation interval in which the purchase evaluation data commonly corresponding to the plurality of provider identifications is located in the plurality of purchase evaluation intervals is used as the target purchase evaluation interval. For example, referring to table 3, if the purchase evaluation data is 6, searching is performed in the correspondence between the purchase evaluation interval and the purchase allocation ratio, it is determined that the purchase evaluation interval where the purchase evaluation data is 6 is (0, 7), and (0, 7) is taken as the target purchase evaluation interval.

Step S320: and determining the purchasing distribution proportion corresponding to the target purchasing evaluation interval according to the corresponding relation between the purchasing evaluation interval and the purchasing distribution proportion, and taking the purchasing distribution proportion as the target distribution proportion relation.

Specifically, after the target purchase evaluation interval is determined, the purchase allocation proportion corresponding to the target purchase evaluation interval can be used as the target allocation proportion relation according to the corresponding relation between the purchase evaluation interval and the purchase allocation proportion. For example, with continued reference to table 3, after determining that the target purchase evaluation interval is (0, 7), the target purchase evaluation interval (0, 7) may be searched in the correspondence between the purchase evaluation interval and the purchase allocation ratio, and the purchase allocation ratio corresponding to the target purchase evaluation interval (0, 7) may be used as the target allocation ratio relationship.

In the above embodiment, by dividing a plurality of continuous purchase evaluation intervals and enabling each purchase evaluation interval to correspond to a corresponding purchase allocation proportion, after determining the purchase evaluation data corresponding to the plurality of supplier identifications in common, the method can use the purchase allocation proportion corresponding to the target purchase evaluation interval as the target allocation proportion relationship according to the target purchase evaluation interval where the purchase evaluation data corresponding to the plurality of supplier identifications in common is located and the corresponding relationship between the purchase evaluation interval and the purchase allocation proportion, so that when the difference degree between the plurality of supplier identifications is larger or smaller, the purchase evaluation interval where the corresponding target allocation proportion relationship is also different, the target allocation proportion relationship is related to the difference degree between the plurality of supplier identifications, when the difference degree between the plurality of supplier identifications is larger, the purchase resource allocation data between the plurality of supplier identifications determined based on the target allocation proportion relationship is also larger, and when the difference degree between the plurality of supplier identifications is smaller, the purchase resource allocation data between the plurality of supplier identifications is also smaller, thereby further improving the purchase resource allocation rationality.

In some embodiments, referring to FIG. 4, the manner in which the proportion of purchasing assignments among the plurality of supplier identifications may be determined may include the following steps.

Step S410: and obtaining provider score data corresponding to each provider identifier.

Specifically, the plurality of provider identifiers are respectively corresponding to provider score data, the provider score data is used for describing the weight, priority or preference condition of the corresponding provider identifier when purchasing resources are allocated, the provider score data is higher, the weight of the corresponding provider identifier when purchasing resources are allocated is higher, the weight of the corresponding provider identifier in the purchasing allocation proportion is higher, the provider score data is lower, the weight of the corresponding provider identifier when purchasing resources are allocated is lower, and the weight of the corresponding provider identifier in the purchasing allocation proportion is lower.

Step S420: determining a specified number of target supplier identifiers with scores meeting preset score screening conditions from a plurality of supplier identifiers according to the supplier score data; the target supplier identifier includes a first supplier identifier and a second supplier identifier.

The preset score filtering condition may be that the provider score data corresponding to each of the plurality of provider identifiers is sorted in descending order or in ascending order.

Specifically, after the provider score data corresponding to each of the plurality of provider identifiers is sorted in a descending order, a specified number of provider identifiers located at the front end after the descending order are selected as target provider identifiers. That is, a specified number of provider score data is sequentially selected in order of the provider score data from high to low, and the provider identifications corresponding to the selected specified number of provider score data are used as target provider identifications. For example, the respective vendor identifications may also be ranked based on ranking information of the down-ranked vendor score data.

As an example, after the provider score data corresponding to each of the plurality of provider identifiers is sorted in ascending order, a specified number of provider identifiers located at the tail end after the ascending order may be selected as the target provider identifier.

Specifically, after determining the target supplier identifier, the target supplier identifier may be divided into a first supplier identifier and a second supplier identifier, so that score difference data between the first supplier identifier and the second supplier identifier may be determined according to a difference between the supplier score data corresponding to the first supplier identifier and the supplier score data corresponding to the second supplier identifier, so that the score difference data may be used as purchase evaluation data commonly corresponding to the plurality of supplier identifiers, and further, a purchase allocation ratio between the plurality of supplier identifiers may be determined based on the purchase evaluation data. Illustratively, the specified number is 2 or greater.

As an example, the specified number may be 2, and the first and second supplier identifications among the target supplier identifications may refer to the supplier identifications respectively corresponding to the highest value and the next highest value among the plurality of supplier score data. At this time, the provider score data corresponding to the first provider identifier may be the highest value in the provider score data, and the provider score data corresponding to the second provider identifier may be the next highest value in the provider score data.

As an example, the specified number may be 3, the first one of the target provider identifications may refer to the provider identification corresponding to the highest value in the plurality of provider score data, and the second one of the target provider identifications may refer to the provider identification corresponding to the next highest value and the third highest value in the plurality of provider score data, respectively. At this time, the provider score data corresponding to the first provider identifier may be the highest value in the provider score data, and the provider score data corresponding to the second provider identifier may be an average value between the second highest value and the third highest value in the provider score data.

As an example, the designated number may be 3, the first one of the target provider identifications may refer to the provider identifications respectively corresponding to the highest value and the next highest value of the plurality of provider score data, and the second one of the target provider identifications may refer to the provider identifications respectively corresponding to the third highest value of the plurality of provider score data. At this time, the provider score data corresponding to the first provider identifier may be an average value between the highest value and the next highest value in the provider score data, and the provider score data corresponding to the second provider identifier may be the third highest value in the provider score data.

Step S430: and determining purchasing allocation proportion according to the score difference data between the first supplier identifier and the second supplier identifier and the quantity of the plurality of supplier identifiers.

Specifically, after determining the first supplier identifier and the second supplier identifier, score difference data between the first supplier identifier and the second supplier identifier may be determined according to a difference between the provider score data corresponding to the first supplier identifier and the provider score data corresponding to the second supplier identifier, the score difference data is used as purchase evaluation data commonly corresponding to the plurality of supplier identifiers, and a purchase allocation ratio between the plurality of supplier identifiers is determined according to the purchase evaluation data and the number of the plurality of supplier identifiers. For example, purchasing allocation data between a plurality of vendor identifications may be determined based on purchasing allocation proportions. As one example, when purchasing allocation data between multiple vendor identifications is determined based on purchasing allocation proportions, the purchasing allocation data may be rounded up or rounded down to an integer multiple closest to the specified base.

Illustratively, a manner of determining the purchasing allocation ratio among the plurality of provider identifications will be described below taking the number of the plurality of provider identifications as 3 as an example. Assuming that the obtained provider score data corresponding to the 3 provider identifications are 95, 100 and 85, the provider score data 95, 100 and 85 are sorted in descending order, so as to obtain the provider score data 100, 95 and 85 after descending order, and the corresponding 3 provider identifications can be sorted based on the sorting information of the provider score data 100, 95 and 85 after descending order, and the 3 provider identifications are respectively indicated as providers A, B and C according to the sorting order, namely, the provider score data 100, 95 and 85 are in one-to-one correspondence with the providers A, B and C. And sequentially selecting 2 provider score data 100 and 95 according to the order of the provider score data from high to low, namely, the first provider identifier and the second provider identifier are respectively provider A and provider B, determining the score difference data between the provider A and the provider B to be 5, and taking the score difference data 5 as purchase evaluation data commonly corresponding to the provider A, B, C. With continued reference to Table 3, the purchase evaluation data is located in a purchase evaluation interval (0, 7), the purchase evaluation interval (0, 7) corresponds to a purchase allocation ratio of 5:4:1, i.e., 50%:40%:10%, when the number of supplier identifications is 3, and the purchase allocation data between materials A, B, C may be determined to be 50%, 40% and 10%, respectively, according to the purchase allocation ratio.

In the above embodiment, by determining the purchase evaluation data commonly corresponding to the plurality of supplier identifiers, the degree of difference between the plurality of supplier identifiers is evaluated, so that the purchase allocation proportion between the plurality of supplier identifiers can be determined based on the degree of difference between the plurality of supplier identifiers, and the rationality in the purchase resource allocation is improved.

In some implementations, the purchase assessment data can include price-related variance data and performance-related variance data, that is, the plurality of vendor identifications collectively correspond to the price-related variance data, the performance-related variance data. Each supplier identifier corresponds to quality assessment data.

In this embodiment, referring to fig. 5, the method for allocating purchasing resources may further include the following steps.

Step S510: if the target material type does not belong to the preset management and control group, searching in the corresponding relation between the price-related difference data and the purchasing allocation proportion according to the price-related difference data, and determining the price-related allocation proportion among a plurality of supplier identifiers.

Specifically, if the target material type does not belong to the preset management and control group, the price-related difference data commonly corresponding to the plurality of supplier identifiers can be determined according to the plurality of supplier identifiers corresponding to the target material type, and according to the price-related difference data, searching is performed in the corresponding relationship between the price-related difference data and the purchasing distribution proportion, so as to determine the price-related distribution proportion among the plurality of supplier identifiers.

For example, with continued reference to table 3, table 3 may represent a correspondence between price-related difference data and price-related allocation proportions. The price-related distribution ratio corresponding to the price-related difference data can be determined by searching in the correspondence relationship between the price-related difference data and the price-related distribution ratio shown in table 3 according to the price-related difference data commonly corresponding to the plurality of supplier identifications, thereby determining the price-related distribution ratio between the plurality of supplier identifications.

Illustratively, the plurality of supplier identifications collectively corresponding price-related difference data may be determined based on the supplier price score data for the target material type corresponding to each of the plurality of supplier identifications.

Illustratively, the price-related variance data may be determined by: and determining provider price score data corresponding to each of the plurality of provider identifications, selecting a highest value and a next highest value in the plurality of provider price score data, and taking a difference value between the highest value and the next highest value as price-related difference data commonly corresponding to the plurality of provider identifications.

Illustratively, multiple vendor identifications each correspond to price data for a target material type. The provider price score data corresponding to each of the plurality of provider identifications may be determined by: determining lowest price data in a plurality of price data corresponding to the plurality of supplier identifications, determining a supplier identification corresponding to the lowest price data as a lowest price data supplier identification, and determining any supplier identification other than the lowest price data supplier identification in the plurality of supplier identifications as a supplier identification to be determined, determining supplier price score data of the lowest price data supplier identification as specified supplier price score data, and determining supplier price score data of the supplier identification to be determined= (lowest price data/price data of the supplier identification to be determined. Specified supplier price score data). For example, the plurality of vendor identifiers may be vendor 1, vendor 2, and vendor 3, the corresponding price data is 1200, 1100, and 1000, the lowest price data is 1000, vendor 3 corresponding to the lowest price data 1000 is determined as the lowest price data vendor identifier, vendors 1 and 2 except vendor 3 in the 3 vendor identifiers are determined as the vendor identifiers to be determined, vendor price score data of vendor 3 is determined as 100, and vendor price score data of vendor 1= (1000/1200×100) ≡83, and vendor price score data of vendor 2= (1000/1100×100) ≡91.

Step S520: and adjusting the price-related distribution proportion according to the quality evaluation data and the performance-related difference data to obtain a target distribution proportion relation among a plurality of provider identifiers.

Specifically, performance related difference data commonly corresponding to a plurality of provider identifications can be determined according to a plurality of provider identifications corresponding to a target material type, searching is performed in a corresponding relation between the performance related difference data and purchasing allocation proportion according to the performance related difference data, performance related allocation proportion among the plurality of provider identifications is determined, price related allocation proportion is adjusted according to quality evaluation data and the performance related allocation proportion relation, and target allocation proportion relation among the plurality of provider identifications is obtained.

For example, with continued reference to table 3, table 3 may represent a correspondence between performance-related discrepancy data and performance-related allocation proportions. The performance-related distribution ratio corresponding to the performance-related difference data can be determined by searching in the correspondence between the performance-related difference data and the performance-related distribution ratio shown in table 3 according to the performance-related difference data commonly corresponding to the plurality of provider identifications, thereby determining the performance-related distribution ratio among the plurality of provider identifications.

Illustratively, the performance-related variance data may be determined by: and determining provider performance score data corresponding to the provider identifiers, selecting the highest value and the next highest value in the provider performance score data, and taking the difference value between the highest value and the next highest value as performance related difference data commonly corresponding to the provider identifiers.

Illustratively, the plurality of vendor identifications each correspond to performance data for the target material type. The provider performance score data corresponding to each of the plurality of provider identities may be determined by: determining lowest performance data in the plurality of performance data corresponding to the plurality of supplier identifications, determining a supplier identification corresponding to the lowest performance data as a lowest performance data supplier identification, determining any supplier identification except the lowest performance data supplier identification in the plurality of supplier identifications as a supplier identification to be determined, determining supplier performance score data of the lowest performance data supplier identification as specified supplier performance score data, and determining supplier performance score data of the supplier identification to be determined= (lowest performance data/performance data of the supplier identification to be determined. For example, the plurality of supplier identifiers may be supplier 1, supplier 2, and supplier 3, the corresponding performance data is 1200, 1100, and 1000, the lowest performance data is 1000, the supplier 3 corresponding to the lowest performance data 1000 is determined as the lowest performance data supplier identifier, suppliers 1 and 2 except for the supplier 3 in the 3 supplier identifiers are determined as the supplier identifiers to be determined, the supplier performance score data of the supplier 3 is determined as 100, and the supplier performance score data of the supplier 1= (1000/1200×100) ≡83, and the supplier performance score data of the supplier 2= (1000/1100×100) ≡91.

In the above embodiment, when the target material type does not belong to the preset management and control group, the price-related distribution ratio among the plurality of supplier identifiers is determined by searching in the correspondence between the price-related difference data and the purchase distribution ratio according to the price-related difference data, and the price-related distribution ratio is adjusted according to the quality evaluation data and the performance-related difference data, so that the target distribution ratio relationship among the plurality of supplier identifiers can be determined. Therefore, purchasing resources can be distributed based on multiple dimensions of price data, performance data and quality evaluation data of each supplier identification, and purchasing quality and purchasing efficiency can be improved while purchasing cost is reduced.

In some embodiments, the quality assessment data corresponding to each of the vendor identifications is either first-level quality assessment data or second-level quality assessment data, the vendor identification corresponding to the first-level quality assessment data being noted as a first-level vendor identification, and the vendor identification corresponding to the second-level quality assessment data being noted as a second-level vendor identification. Wherein the first and second level quality assessment data are determined based on historical incoming inspection data for the target material type for the supplier identification, for describing quality of the historical incoming inspection data for the target material type for the supplier identification. Wherein the first level quality assessment data is superior to the second level quality assessment data. The first level quality assessment data does not affect the price-related allocation proportion; the second level quality evaluation data corresponds to preset limit distribution data, and the price-related distribution proportion can be adjusted.

In this embodiment, referring to fig. 6, the adjustment of the price-related distribution ratio according to the quality evaluation data and the performance-related difference data to obtain the target distribution ratio relationship between the plurality of provider identities may include the following steps.

Step S610: first allocation data of the first-level provider identification in the price-related allocation proportion and second allocation data of the second-level provider identification in the price-related allocation proportion relation are determined.

In some cases, according to the price score data of the suppliers corresponding to each of the plurality of supplier identifiers, the price-related difference data corresponding to the plurality of supplier identifiers in common can be determined, the corresponding relationship between the price-related difference data and the price-related distribution ratio shown in table 3 can be searched, the price-related distribution ratio corresponding to the price-related difference data is determined, and the price-related distribution ratio between the plurality of supplier identifiers is obtained, so that the price-related distribution data of each of the plurality of supplier identifiers in the price-related distribution ratio can be determined.

In this embodiment, after determining the price-related allocation proportion among the plurality of supplier identifiers, the supplier identifiers may be marked as the first-level supplier identifier or the second-level supplier identifier according to the first-level quality evaluation data or the second-level quality evaluation data corresponding to each supplier identifier, and the first allocation data of the first-level supplier identifier in the price-related allocation proportion and the second allocation data of the second-level supplier identifier in the price-related allocation proportion relationship are determined. Wherein the first allocation data may refer to price-related allocation data of the first level provider identification in a price-related allocation proportion; the second allocation data may refer to price-related allocation data identified by the second level provider in a price-related allocation proportion.

TABLE 4 Table 4

Illustratively, taking material 1 as the target material type, referring to table 4, the plurality of supplier identifiers includes supplier 1, supplier 2, and supplier 3, and the supplier price score data corresponding to each of supplier 1, supplier 2, and supplier 3 is 100, 95, and 80, respectively, the first level quality assessment data may be represented by a green tile, the second level quality assessment data may be represented by a yellow tile, the quality assessment data corresponding to supplier 1 is a yellow tile, and the quality assessment data corresponding to each of supplier 2 and supplier 3 is a green tile.

And selecting the highest value 100 and the next highest value 95 in the provider price score data corresponding to the provider 1, the provider 2 and the provider 3 respectively, and taking the difference value 5 between the highest value 100 and the next highest value 95 as price related difference data corresponding to the providers 1, 2 and 3 together. Searching in the corresponding relation between the price-related difference data and the price-related distribution ratio shown in table 3 by the price-related difference data, and determining that the price-related distribution ratio corresponding to the price-related difference data is 5:4:1, namely, the price-related distribution ratio among the supplier 1, the supplier 2 and the supplier 3 is 5:4:1, so that the price-related distribution data of the supplier 1, the supplier 2 and the supplier 3 in the price-related distribution ratio 5:4:1 can be determined to be 50%, 40% and 10%.

Since the respective quality assessment data of suppliers 2 and 3 are green cards and the respective quality assessment data of supplier 1 is yellow cards, suppliers 2, 3 are marked as first supplier identifications, supplier 1 is marked as second supplier identifications, i.e. the first allocation data of the first supplier identifications can be determined to be 40%, 10% of the respective price-related allocation data of suppliers 2, 3, and the second allocation data of the second supplier identifications can be determined to be 50% of the price-related allocation data of supplier 1.

Step S620: and determining the residual allocation data of the purchased resources based on the preset limit allocation data corresponding to the second allocation data and the second level quality evaluation data.

For example, with continued reference to table 4, the preset limit allocation data corresponding to the second level quality evaluation data may be 5%, that is, the preset limit allocation data corresponding to the provider 1 may be 5%, and the corresponding second allocation data is 50%, then it may be determined that the remaining allocation data of the purchased resource is 50% -5% = 45%.

Step S630: and adjusting the first distribution data according to the residual distribution data and the performance related difference data to obtain adjusted first distribution data.

In some cases, performance-related difference data commonly corresponding to a plurality of provider identities may be determined based on quality assessment data corresponding to each of the plurality of provider identities, or, for a plurality of provider identities for which the quality assessment data is first-level quality assessment data, performance-related difference data between the plurality of provider identities, that is, performance-related difference data refers to first-level provider identities being commonly corresponding.

In some cases, the plurality of first-level provider identifications may be provided, and performance-related difference data commonly corresponding to the plurality of first-level provider identifications may be determined according to the provider performance score data corresponding to each of the plurality of first-level provider identifications.

Specifically, according to the performance related difference data commonly corresponding to the plurality of first level provider identifiers, searching is performed in a corresponding relation between the performance related difference data and the performance related distribution proportion, the performance related distribution proportion corresponding to the performance related difference data is determined, and the performance related distribution proportion among the plurality of first level provider identifiers is obtained, so that performance related distribution data in the performance related distribution proportion of each of the plurality of first level provider identifiers can be determined, and accordingly first distribution data can be adjusted according to residual distribution data and performance related distribution data, and adjusted first distribution data is obtained.

Illustratively, with continued reference to table 4, the respective corresponding supplier performance score data for suppliers 1, 2, and 3 in the plurality of supplier identifications are 95, 70, and 60, respectively. And selecting the supplier 2 and the supplier 3 in the plurality of supplier identifications as the first-level supplier identifications, selecting the first-level supplier identifications, namely selecting the highest value 70 and the next highest value 60 in the supplier performance score data 70 and 60 corresponding to the suppliers 2 and 3 respectively, taking the difference value between the highest value 70 and the next highest value 60 as price related difference data commonly corresponding to the suppliers 2 and 3, namely determining that the commonly corresponding performance related difference data in the suppliers 2 and 3 is 70-60=10, searching in the corresponding relation between the performance related difference data and the performance related distribution proportion shown in the table 3 according to the performance related difference data, determining that the performance related distribution proportion corresponding to the performance related difference data is 7:3, namely obtaining that the performance related distribution proportion between the suppliers 2 and 3 is 7:3, and accordingly determining that the performance related distribution data of the suppliers 2 and 3 respectively in the performance related distribution proportion 7:3 is 70% and 30%. Since the first distribution data of each of the suppliers 2 and 3 is 40% and 10% of the price-related distribution data, the adjusted first distribution data of the supplier 2 can be determined to be 45% by 70% +40% = 71.5%, and the adjusted first distribution data of the supplier 3 can be determined to be 45% by 30% +10% = 23.5%.

As an example, when the first allocation data is adjusted, it may be rounded up or rounded down to an integer multiple of 5% closest to the specified radix. For example, the adjusted first distribution data of vendor 2 may be 75% and the adjusted first distribution data of vendor 3 may be 20%.

Step S640: and obtaining a target distribution proportion relation among the plurality of supplier identifiers according to the preset limit distribution data and the adjusted first distribution data.

Specifically, the preset limit allocation data may be used as the purchasing resource allocation data of the second-level provider identifier, and the adjusted first allocation data may be used as the purchasing resource allocation data of the first-level provider identifier, so that the target allocation proportional relationship between the plurality of provider identifiers including the first-level provider identifier and the second-level provider identifier may be determined.

In the above embodiment, after determining the price-related distribution ratio among the plurality of provider identifications, the target distribution ratio relationship among the plurality of provider identifications may be determined by adjusting the price-related distribution ratio in combination with performance-related difference data commonly corresponding to the plurality of provider identifications based on the respective quality evaluation data of the plurality of provider identifications. Therefore, the purchasing resources of the target material type can be allocated based on the price-related difference data, the performance-related difference data and the quality evaluation data of each supplier identifier, which are commonly corresponding to the plurality of supplier identifiers, so that purchasing cost is reduced, and purchasing quality and purchasing efficiency are improved.

In some embodiments, the preset administrative group may be a replacement group, which corresponds to a plurality of alternative vendor identifications. The plurality of alternative supplier identifiers collectively correspond to price-related discrepancy data and performance-related discrepancy data, each alternative supplier identifier corresponding to quality assessment data. Wherein the replacement material group comprises a plurality of material types, and any replaceable supplier identifier corresponding to the replacement material group refers to the replaceable supplier identifier corresponding to any material type in the replacement material group.

In this embodiment, referring to fig. 7, determining a target allocation proportion relationship corresponding to a plurality of provider identifiers with a control rule corresponding to a preset control group as a constraint may include the following steps.

Step S710: and determining the replaceable price distribution proportion among the plurality of replaceable supplier identifiers according to price related difference data which are commonly corresponding to the plurality of replaceable supplier identifiers by taking the constraint condition that the sum of the distribution proportion of all the material types in the replaceable material group is equal to 100%.

In some cases, if the target material type belongs to the replacement material group, purchasing resource allocation can be performed by taking all the material types in the replacement material group as a whole, that is, purchasing resource allocation data of a plurality of material types in the replacement material group in corresponding replaceable supplier identifiers is determined.

Specifically, the allocation proportion of the replaceable price between the plurality of replaceable supplier identifiers can be determined by taking the constraint condition that the sum of the allocation proportion of all the material types in the replacement material group is equal to 100%, determining price-related difference data commonly corresponding to the plurality of replaceable supplier identifiers according to the plurality of replaceable supplier identifiers corresponding to the replacement material group, and searching in the corresponding relation between the price-related difference data and the purchasing allocation proportion according to the price-related difference data.

For example, with continued reference to Table 3, table 3 may represent the correspondence between price-related difference data and alternative price allocation proportions. The price-related difference data corresponding to the plurality of alternative supplier identifications can be searched in the corresponding relation between the price-related difference data and the alternative price allocation proportion shown in table 3 according to the price-related difference data corresponding to the plurality of alternative supplier identifications, and the alternative price allocation proportion corresponding to the price-related difference data is determined, so that the alternative price allocation proportion among the plurality of alternative supplier identifications is determined.

Illustratively, the price-related difference data that collectively corresponds to the plurality of alternative supplier identifications may be determined by: and determining provider price score data corresponding to each of the plurality of alternative provider identifiers, selecting a highest value and a next highest value in the plurality of alternative provider price score data, and taking a difference value between the highest value and the next highest value as price-related difference data commonly corresponding to the plurality of alternative provider identifiers.

TABLE 5

For example, referring to table 5, taking an example of a replacement set with a replacement number TH001, the replacement set TH001 corresponds to 3 alternative vendor identifiers, namely vendors 1, 2, and 3. The provider price score data corresponding to each of the providers 1, 2, 3 is 100, 95, 80, respectively. And selecting the highest value 100 and the next highest value 95 in the provider price score data 100, 95 and 80 corresponding to the providers 1, 2 and 3 respectively, and taking the difference value 5 between the highest value 100 and the next highest value 95 as price related difference data commonly corresponding to the providers 1, 2 and 3. Searching in the corresponding relation between the price-related difference data and the alternative price allocation proportion shown in the table 3 by the price-related difference data, and determining that the alternative price allocation proportion corresponding to the price-related difference data is 5:4:1, namely obtaining the alternative price allocation proportion among the suppliers 1, 2 and 3 is 5:4:1.

Step S720: the alternative price-related allocation data for each alternative supplier identified in the alternative price allocation proportion is determined subject to the constraint that the sum of the allocation proportions of all material types within the alternative group equals 100%.

Illustratively, with continued reference to Table 5, it may be determined that the alternative price-related allocation data for each of suppliers 1, 2, and 3 in alternative price allocation ratios 5:4:1 are 50%, 40%, and 10%.

Step S730: and taking the sum of the distribution proportion of all the material types in the replacement material group as a constraint condition, and adjusting the replaceable price related distribution data of each replaceable supplier identifier according to the quality evaluation data of each replaceable supplier identifier and the performance related difference data which are commonly corresponding to the plurality of replaceable supplier identifiers to obtain a target distribution proportion relation.

Specifically, by taking the constraint that the sum of the distribution ratios of all the material types in the replacement material group is equal to 100%, the performance-related difference data commonly corresponding to the plurality of replacement provider identifications is determined according to the plurality of replacement provider identifications corresponding to the replacement material group, and the replaceable performance distribution ratio among the plurality of replacement provider identifications is determined by searching in the corresponding relation between the performance-related difference data and the replacement performance distribution ratio according to the performance-related difference data.

For example, with continued reference to table 3, table 3 may represent a correspondence between performance-related discrepancy data and alternative performance allocation proportions. The replaceable performance allocation proportion corresponding to the performance related difference data can be determined by searching in the corresponding relation between the performance related difference data and the replaceable performance allocation proportion shown in table 3 according to the performance related difference data commonly corresponding to the plurality of replaceable supplier identifiers, so that the replaceable performance allocation proportion among the plurality of replaceable supplier identifiers is determined.

Illustratively, the performance-related variance data that collectively corresponds to the plurality of alternative provider identifications may be determined by: and determining the corresponding provider performance score data of the plurality of alternative provider identifiers, selecting the highest value and the next highest value in the plurality of alternative provider performance score data, and taking the difference value between the highest value and the next highest value as performance related difference data which are commonly corresponding to the plurality of alternative provider identifiers.

Specifically, the target allocation proportion relation can be obtained by adjusting the alternative price related allocation data of each alternative supplier identifier in the alternative price allocation proportion according to the alternative performance allocation proportion among the alternative supplier identifiers and according to the quality evaluation data corresponding to each alternative supplier identifier.

For example, with continued reference to table 5, the provider performance score data for each of providers 1, 2, 3 may be 95, 70, and 60, respectively. And selecting the highest value 95 and the next highest value 70 in the provider performance score data 95, 70 and 60 corresponding to the providers 1, 2 and 3 respectively, and taking the difference 25 between the highest value 95 and the next highest value 70 as price-related difference data commonly corresponding to the providers 1, 2 and 3. Searching in the corresponding relation between the price-related difference data and the alternative performance allocation proportion shown in table 3 by the price-related difference data, and determining that the alternative performance allocation proportion corresponding to the performance-related difference data is 7:2:1, namely obtaining the alternative performance allocation proportion among the supplier 1, the supplier 2 and the supplier 3 is 7:2:1. As an example, the quality evaluation data corresponding to each of the suppliers 1, 2, and 3 may be green cards, that is, the suppliers 1, 2, and 3 do not correspond to preset limited allocation data, and the suppliers 1, 2, and 3 do not have remaining allocation data, and then the alternative price allocation proportion may be regarded as the target allocation proportion relationship.

TABLE 6

As an example, referring to table 6, the quality evaluation data corresponding to the supplier 1 may be yellow cards, the quality evaluation data corresponding to the suppliers 2 and 3 may be green cards, the supplier 1 corresponds to 5% of the preset limit allocation data, and then it may be determined that the remaining allocation data of the purchased resources of the replacement set TH001 is 50% -5% = 45%. For the suppliers 2 and 3 with the quality evaluation data of green cards, determining performance related difference data which are commonly corresponding to the suppliers 2 and 3, wherein the performance related difference data specifically comprises the following steps: and selecting the highest value 70 and the next highest value 60 in the provider performance score data 70 and 60 corresponding to the providers 2 and 3 respectively, and taking the difference value 10 between the highest value 70 and the next highest value 60 as price-related difference data corresponding to the providers 2 and 3 together. Searching in the correspondence between the performance-related difference data and the alternative performance allocation proportion shown in table 3 by the performance-related difference data, and determining that the alternative performance allocation proportion corresponding to the performance-related difference data is 7:3, namely obtaining the alternative performance allocation proportion between the suppliers 2 and 3 is 7:3, so that the alternative performance-related allocation data of each of the suppliers 2 and 3 in the alternative performance allocation proportion 7:3 can be determined to be 70% and 30%. The respective alternative price related allocation data of suppliers 2, 3 are 40%, 10%, respectively, and thus, it may be determined that the adjusted alternative price related allocation data of supplier 2 is 45% ×70% +40% =71.5% and that the adjusted alternative price related allocation data of supplier 3 is 45% ×30% +10% =23.5%.

As one example, when adjusting the alternative price-related allocation data, the integer multiple closest to the specified base of 5% may be rounded up or down. For example, the adjusted alternative price related allocation data for vendor 2 may be 75% and the adjusted alternative price related allocation data for vendor 3 may be 20%.

For example, the preset limit allocation data of the supplier 1 may be 5% as its purchase resource allocation data, and the adjusted alternative price-related allocation data of the suppliers 2, 3 may be 75% and 20% as its purchase resource allocation data, respectively, so that the target allocation proportion relationship of the suppliers 1, 2, 3 including the purchase resource allocation data of the suppliers 1, 2, 3 may be determined.

In the above embodiment, for the replacement material group, by taking the constraint that the sum of the proportions of all the material types in the replacement material group is equal to 100%, according to the price-related difference data, the performance-related data and the quality evaluation data of each of the plurality of the replaceable supplier identifiers, which are commonly corresponding to each other, the target allocation proportion relationship between the plurality of the replaceable supplier identifiers can be obtained, so that the purchase resource allocation data between each of all the material types in the replacement material group and the corresponding replaceable supplier identifier can be determined, and the purchase resource allocation flexibility can be improved.

In some embodiments, the preset management and control group is a matched material group, the matched material group comprises a plurality of matched groups, and the matched groups correspond to a plurality of matched provider identifiers; the plurality of matched groups collectively correspond to price-related difference data and performance-related difference data, and each matched group corresponds to quality assessment data. The matched group comprises a plurality of material types, and any matched supplier identifier corresponding to the matched group refers to the matched supplier identifier corresponding to any material type in the matched group.

In this embodiment, referring to fig. 8, determining a target allocation proportion relationship corresponding to a plurality of provider identifiers with a control rule corresponding to a preset control group as a constraint may include the following steps.

Step S810: and determining the matched price distribution proportion among all matched groups in the matched material group according to price related difference data which are commonly corresponding to all matched groups in the matched material group by taking the sum of the distribution proportion among all matched groups in the matched material group as a constraint condition.

In some cases, if the preset control group is a matched group, all matched groups in the matched group can be used as a whole to perform purchasing resource allocation, that is, purchasing resource allocation data of a plurality of matched groups in the matched group is determined. Wherein, the purchase resource allocation data of all material types in any matched group are the same.

Illustratively, price-related difference data commonly corresponding to all of the supporting groupings within the supporting group may be determined based on price data for a plurality of supporting supplier identifications corresponding to each supporting grouping, e.g., average price data between the plurality of supporting supplier identifications in each supporting grouping may be determined, and supplier price score data for the supporting grouping may be determined based on the average price data. The price data of the matched supplier identifier corresponding to the matched group is the price data of the matched supplier identifier for the material type in the matched group.

For example, the highest value and the next highest value in the provider price score data corresponding to all the matched groups can be selected, and the difference value between the highest value and the next highest value is used as price-related difference data corresponding to all the matched groups in common. For example, table 3 may represent a correspondence relationship between price-related difference data and a matched price allocation proportion. The matching price allocation proportion corresponding to the price-related difference data commonly corresponding to all the matching groups can be determined by searching in the corresponding relation between the price-related difference data and the matching price allocation proportion shown in table 3 by the price-related difference data commonly corresponding to all the matching groups.

TABLE 7

For example, referring to table 7, taking a matched material group with a matched serial number PT01 as an example, the matched material group PT01 includes two matched groups PT01-01 and PT01-02, the material types in the matched group PT01-01 include a material 1 and a material 2, and the material types in the matched group PT01-02 include a material 3 and a material 4. If the price score data of the suppliers of the matched groups PT01-02 and PT01-01 are 100 and 95 respectively, selecting the highest value and the next highest value in the price score data 100 and 95 of the suppliers of the matched groups PT01-02 and PT01-01, taking the difference value 5 between the highest value 100 and the next highest value 95 as price related difference data which are commonly corresponding to the matched groups PT01-02 and PT01-01, searching in the corresponding relation between the price related difference data and the matched price allocation proportion shown in the table 3 according to the price related difference data 5, and determining that the matched price allocation proportion corresponding to the matched groups PT01-02 and PT01-01 is 6:4.

Step S820: and determining matched price distribution data of each matched group in the matched price distribution proportion by taking the constraint condition that the sum of the distribution proportions among all the matched groups in the matched material group is equal to 100%.

For example, referring to table 7, based on the matched price allocation ratio 6:4 corresponding to the matched packets PT01-02 and PT01-01, and assuming that the sum of the allocation ratios between the matched packets PT01-02 and PT01-01 is equal to 100%, it can be determined that the matched price allocation data of the matched packets PT01-02 and PT01-01 in the matched price allocation ratio is 60% and 40%, respectively.

Step S830: and taking the sum of the distribution proportion among all the matched groups in the matched material group as a constraint condition, and determining the matched performance distribution proportion among all the matched groups in the matched material group according to the performance related difference data which are commonly corresponding to all the matched groups in the matched material group and the quality evaluation data which are corresponding to each matched group.

Specifically, the quality assessment data corresponding to each of the companion packets may be determined from quality assessment data of all of the companion vendor identifications corresponding to the companion packets. Illustratively, if any of the matched provider identifications corresponding to the matched group is a yellow tile, the quality assessment data of the matched group is a yellow tile, and if all of the matched provider identifications corresponding to the matched group are green tiles, the matched group is a green tile.

Specifically, the quality evaluation data of each matched group can be determined, and the matched performance distribution proportion among all the matched groups with the quality evaluation data of the green cards in the matched group is determined according to the performance related difference data which are commonly corresponding to all the matched groups with the quality evaluation data of the green cards in the matched group aiming at the matched group with the quality evaluation data of the green cards.

Illustratively, the performance-related difference data that is commonly corresponding to all the supporting groupings of the green cards in the supporting material group may be determined based on performance data that is corresponding to a plurality of provider identifications of the supporting groupings of the green cards in each of the quality assessment data, e.g., average performance data between a plurality of provider identifications in the supporting groupings of the green cards in each of the quality assessment data may be determined, and provider performance score data for the supporting groupings of the green cards in the quality assessment data may be determined based on the average performance data.

For example, the highest value and the next highest value in the provider performance score data corresponding to all the matched groups with the quality evaluation data being green cards can be selected, and the difference value between the highest value and the next highest value is used as performance related difference data corresponding to all the matched groups with the quality evaluation data being green cards. Illustratively, table 3 may represent a correspondence between performance-related discrepancy data and a companion performance allocation proportion. The matching performance distribution ratio corresponding to the performance related difference data, which is commonly corresponding to all the matching groups of the green cards, can be determined by searching in the correspondence between the performance related difference data and the matching performance distribution ratio shown in table 3 by using the quality evaluation data as the performance related difference data which is commonly corresponding to all the matching groups of the green cards.

For example, referring to table 7, for two matched packets PT01-01 and PT01-02 in a matched material group with a matched sequence number PT01, if the respective provider performance score data of the matched packets PT01-01 and PT01-02 are 90 and 80, respectively, and the quality evaluation data corresponding to the matched packets PT01-01 and PT01-02 are green, the highest value and the next highest value in the provider performance score data 90 and 80 of the matched packets PT01-01 and PT01-02 are selected, and the difference 10 between the highest value 90 and the next highest value 80 is used as the performance related difference data corresponding to the matched packets PT01-01 and PT01-02 together, so that the performance related difference data 10 is found in the corresponding relation between the performance related difference data and the performance distribution ratio shown in table 3, and the matched performance distribution ratio corresponding to the matched packets PT01-01 and PT01-02 can be determined to be 7:3.

Step S840: and determining the matched performance distribution data of each matched group in the matched performance distribution proportion by taking the constraint condition that the sum of the distribution proportions among all the matched groups in the matched material group is equal to 100%.

For example, with continued reference to table 7, based on the matched performance allocation ratio 7:3 corresponding to the matched packets PT01-01 and PT01-02, and taking the sum of the allocation ratios between the matched packets PT01-01 and PT01-02 as a constraint condition, it can be determined that the matched performance allocation data of the matched packets PT01-01 and PT01-02 in the matched performance allocation ratio is 70% and 30%, respectively.

Step S850: according to the quality evaluation data corresponding to each matched group and the matched performance distribution data of each matched group in the matched performance distribution proportion, the matched price distribution data corresponding to each matched group is adjusted to obtain a target distribution proportion relation among all the matched groups in the matched material group; the target distribution proportion relation comprises matched price distribution data adjusted by each matched group.

Specifically, the quality evaluation data of all the matched groups can be determined, if the quality evaluation data corresponding to the matched groups is yellow, preset limit distribution data corresponding to the yellow is used as adjusted matched price distribution data of the matched groups, residual distribution data is determined based on the preset limit distribution data and matched price distribution data corresponding to the matched groups with the quality evaluation data being yellow, matched performance distribution data corresponding to the matched groups with the quality evaluation data being green is determined based on the residual distribution data and matched price distribution data corresponding to the matched groups with the quality evaluation data being green, and adjusted matched price distribution data of the matched groups with the quality evaluation data being green is obtained, namely purchase resource distribution data of the matched groups is obtained.

For example, if the quality evaluation data of all the matched groups are green cards, the matched price allocation data of the matched groups can be used as the purchase resource allocation data without adjusting the matched price allocation data of the matched groups.

For example, referring to table 7, if the quality evaluation data corresponding to the supporting groups PT01-01 and PT01-02 are all green, 40% and 60% of the supporting price allocation data corresponding to the supporting groups PT01-01 and PT01-02 may be used as purchase resource allocation data corresponding to the supporting groups PT01-01 and PT 01-02.

In the above embodiment, for the matched set, the target allocation proportion relation between all the matched sets in the matched set can be obtained by taking the constraint condition that the sum of the proportions of all the matched sets in the matched set is equal to 100%, and according to the price-related difference data, the performance-related data and the quality evaluation data of each matched set, which are commonly corresponding to all the matched sets, so that the purchasing resource allocation data of all the matched sets in the matched set between the target allocation proportions can be determined, the allocation of purchasing resources among a plurality of the matched sets in the matched set is realized, and the flexibility of purchasing resource allocation can be improved.

In some embodiments, determining procurement resource allocation data between the target material type and the plurality of supplier identifications according to the target allocation scaling relationship may include: and under the condition that the same material types do not exist in the matched group, the matched group is used as purchasing resource allocation data of each material type in the matched group according to the adjusted matched price allocation data corresponding to the matched group in the target allocation proportion relation.

For example, referring to table 7, after determining that the purchase resource allocation data corresponding to the supporting group PT01-01 and PT01-02 are 40% and 60%, respectively, the same material type does not exist in each of the supporting group PT01-01 and PT01-02, it may be determined that the purchase resource allocation data of the provider 1 corresponding to the material 1 and the provider 2 corresponding to the material 2 in the supporting group PT01-01 are 40%, and it may be determined that the purchase resource allocation data of the provider 3 corresponding to the material 3 and the provider 4 corresponding to the material 4 in the supporting group PT01-02 are 60%. Thus, the purchasing resource allocation flexibility for the material types in the matched material group can be improved.

In some embodiments, referring to fig. 9, determining procurement resource allocation data between the target material type and the plurality of supplier identifications according to the target allocation scaling relationship may further include the following steps.

Step S910: under the condition that the same material types exist in the matched groups, the adjusted matched price allocation data corresponding to the matched groups in the target allocation proportion relation is used as the initial purchase resource allocation data of each material type in the matched groups.

Specifically, the same material type exists in the matched group, that is, the matched group has the same material type corresponding to a plurality of matched provider identifiers. Under the condition that a plurality of matched supplier identifiers corresponding to the same material type exist in the matched group, the purchased resource allocation data corresponding to the matched group can be used as the initial purchased resource allocation data of the plurality of matched supplier identifiers corresponding to the same material type.

For example, referring to table 8, the matched set PT01 includes matched packets PT0-01 and PT01-02, and matched packets PT0-01 and PT01-02 have 40% and 60% of matched price allocation data adjusted in the target allocation proportion relationship, or, respectively, 40% and 60% of purchased resource allocation data of matched packets PT0-01 and PT 01-02. The same material type exists in the matched group PT01-01, namely the material 1, and two matched provider identifiers corresponding to the material 1, namely the provider 1 and the provider 2, can take 40% of purchase resource allocation data of the matched group PT0-01 where the material 1 is located as initial purchase resource allocation data of the material 1.

TABLE 8

Step S920: based on the price-related difference data commonly corresponding to the plurality of matched supplier identifiers of the same material type, initial purchase resource allocation data of the plurality of matched supplier identifiers of the same material type are adjusted, and purchase resource allocation data of the plurality of matched supplier identifiers of the same material type are obtained.

In particular, price-related difference data may be determined that corresponds in common to a plurality of matched supplier identifications of the same material type. The specific steps can be as follows: and determining respective provider price score data of a plurality of matched provider identifiers corresponding to the same material type based on respective price data of a plurality of matched provider identifiers corresponding to the same material type, selecting a highest value and a next highest value in the respective provider price score data of the plurality of matched provider identifiers corresponding to the same material type, and taking a difference value between the highest value and the next highest value as price-related difference data commonly corresponding to the plurality of matched provider identifiers corresponding to the same material type. For example, table 3 may represent a correspondence relationship between price-related difference data and a matched price allocation proportion. The matching price distribution ratio corresponding to the price-related difference data corresponding to the common matching supplier identifications corresponding to the same material type can be determined by searching in the corresponding relation between the price-related difference data and the matching price distribution ratio shown in table 3, so as to determine the matching price distribution data corresponding to the matching supplier identifications corresponding to the common matching supplier identification, and according to the matching price distribution data corresponding to the matching supplier identifications corresponding to the same material type, the initial purchase resource distribution data corresponding to the matching supplier identifications corresponding to the same material type is adjusted, and the purchase resource distribution data corresponding to the matching supplier identifications corresponding to the same material type is obtained.

For example, the initial purchase resource allocation data of each of the plurality of matching provider identifications corresponding to the same material type may be adjusted based on the respective quality evaluation data of each of the plurality of matching provider identifications corresponding to the same material type and the common corresponding price-related difference and performance-related difference data.

For example, referring to table 8, the same material type in the matched group PT01-01 is material 1, the corresponding matched supplier identifiers include supplier 1 and supplier 2, and the initial purchase resource allocation data of supplier 1 and supplier 2 corresponding to material 1 in the matched group PT01-01 is 40%. Assuming that the respective provider price score data of the providers 1 and 2 corresponding to the material 1 is 95 and 70, selecting the highest value 95 and the next highest value 70 in the 95 and 70, and taking the difference 25 between the highest value 95 and the next highest value 70 as the price related difference data commonly corresponding to the providers 1 and 2 corresponding to the material 1. The price-related difference data 25 is used for searching in the corresponding relation between the price-related difference data and the matched price allocation proportion shown in table 3, and the matched price allocation proportion corresponding to the suppliers 1 and 2 corresponding to the material 1 is determined to be 8:2, so that the matched price allocation data of the suppliers 1 and 2 corresponding to the material 1 are determined to be 80% and 20% respectively, and accordingly 40% of initial purchase resource allocation data of the suppliers 1 and 2 corresponding to the material 1 can be adjusted, and 40% of purchase resource allocation data of the suppliers 1 and 2 corresponding to the material 1 are obtained to be 40% by 80% by 32% by 20% by 8% respectively. Thus, the purchasing resource allocation flexibility of the material types in the matched material group can be further improved.

In some embodiments, the preset management and control group is a matched material group and a replacement material group, the matched material group comprises a plurality of matched groups, the matched groups correspond to a plurality of matched supplier identifiers, and the replacement material group corresponds to a plurality of replaceable supplier identifiers; the plurality of matched groups commonly correspond to price-related difference data and performance-related difference data, and each matched group corresponds to quality evaluation data; the plurality of alternative supplier identifiers collectively correspond to price-related discrepancy data and performance-related discrepancy data, each alternative supplier identifier corresponding to quality assessment data.

For example, referring to table 9, taking a matched material group PT01 as an example, the matched material group PT01 includes matched groups PT01-01 and PT01-02, the material types in the matched group PT01-01 include a material 1 and a material 2, and a plurality of matched supplier identifiers corresponding to the matched group PT01-01 include a supplier 1 corresponding to the material 1 and a supplier 3 corresponding to the material 2; the material types in the set of groupings PT01-02 include material 1 and material 2, and the plurality of set of supplier identifiers corresponding to the set of groupings PT01-02 include supplier 2 corresponding to material 1 and supplier 4 corresponding to material 2.

TABLE 9

In this embodiment, referring to fig. 10, when the same material type does not exist in the matched group, the target allocation proportion relationship corresponding to the plurality of provider identifiers is determined by using the control rule corresponding to the preset control group as a constraint, which may include the following steps.

Step S1010: and determining the matched price distribution proportion among the plurality of matched groups according to price related difference data which are commonly corresponding to the plurality of matched groups by taking the constraint condition that the sum of the distribution proportion of all the matched groups in the matched material group is equal to 100 percent.

Illustratively, the matched price allocation ratio between the matched groups PT01-01 and PT01-02 can be determined to be 8:2 according to price related difference data commonly corresponding to the matched groups PT01-01 and PT01-02 by taking the sum of allocation ratios of the matched groups PT01-01 and PT01-02 in the matched group PT01 as a constraint condition that the sum is equal to 100 percent.

Step S1020: and determining matched price distribution data of each matched group in the matched price distribution proportion by taking the constraint condition that the sum of the distribution proportions of all the matched groups in the matched material group is equal to 100%.

Illustratively, with continued reference to Table 9, it may be determined that the matched price allocation data for matched groups PT01-01, PT01-02 in a matched price allocation ratio of 8:2 is 80% and 20%, respectively, by taking the constraint that the sum of the allocation ratios of matched groups PT01-01, PT01-02 within matched group PT01 is equal to 100%.

Step S1030: and taking the distribution proportion of each material type in the matched group as the same constraint condition, and taking the matched price distribution data as matched price distribution data of each material type in the matched group.

For example, referring to table 9, 80% of the matched price allocation data of the matched group PT01-01 may be used as matched price allocation data of the provider 1 corresponding to the material 1 and the provider 3 corresponding to the material 2, and 20% of the matched price allocation data of the matched group PT01-02 may be used as matched price allocation data of the provider 2 corresponding to the material 1 and the provider 4 corresponding to the material 2, with the same allocation ratio of each material type in the matched group being used as a constraint condition.

Step S1040: and adjusting the matched price distribution data of the matched groups according to the quality evaluation data corresponding to each matched group and the performance related difference data commonly corresponding to the matched groups by taking the sum of the distribution proportion of all the matched groups in the matched group as a constraint condition to obtain matched price distribution data after the matched groups are adjusted.

For example, referring to table 9, the matched suppliers of the matched groups PT01-01 and PT01-02 are marked as green cards, that is, the quality evaluation data of the suppliers 1 and 3 corresponding to the materials 1 and 2 in the matched group PT01-01 are all marked as green cards, the quality evaluation data of the suppliers 2 and 4 corresponding to the materials 1 and 2 in the matched group PT01-02 are all marked as green cards, and the matched price distribution data adjusted by the matched groups PT0-01 and PT01-02 are respectively 80% and 20%.

Step S1050: if any material type in any matched group belongs to the replacement material group, determining the material type in the replacement material group to which the material type belongs.

For example, referring to table 9, the material 1 corresponding to the supplier 1 in the matched group PT01-01 belongs to the replacement set TH001, and the material type in the replacement set TH001 includes the material 3 corresponding to the supplier 1 in addition to the material 1 corresponding to the supplier 1.

Step S1060: determining the replaceable price allocation data of the replaceable supplier marks corresponding to each material type in the belonging replaceable price allocation proportion by taking the constraint condition that the sum of the allocation proportions of all the material types in the belonging replaceable material group is equal to 100%; wherein the alternative price allocation proportion is determined based on price-related difference data which corresponds in common to all material types in the belonging replacement material group.

By way of example, with continued reference to table 9, by taking the constraint that the sum of the dispensing ratios of all material types in the replacement set TH001 be equal to 100%,

the supplier 1 may be determined to be about the price-related difference data between the materials 1, 3 in the replacement set TH001 and the alternative price allocation ratio between the materials 1, 3 is determined to be 4:6 based on the price-related difference data between the materials 1, 3, and by taking the constraint that the sum of the allocation ratios of all the material types in the replacement set TH001 is equal to 100%, the alternative allocation data of the materials 1, 3 in the TH001 may be determined to be 40%, 60%, respectively.

Step S1070: and taking the sum of the distribution proportion of all the material types in the belonging replacement material group as a constraint condition, and according to the quality evaluation data of the replaceable supplier identifiers of each material type in the belonging replacement material group and the performance related difference data corresponding to the replaceable supplier identifiers of all the material types in the belonging replacement material group together, adjusting the replaceable price distribution data of each replaceable supplier identifier to obtain adjusted replaceable price distribution data.

For example, with continued reference to table 9, the alternate suppliers corresponding to materials 1 and 3 in the alternate stack TH001 are identified as green cards, and the adjusted alternate distribution data of materials 1 and 3 in TH001 is 40% and 60%, respectively.

Step S1080: and according to the adjusted matched price distribution data of any material type in any matched group, readjusting the adjusted replaceable price distribution data of the material type in the replacement material group to obtain purchasing resource distribution data of the replaceable supplier identifier corresponding to the material type.

Specifically, the adjusted alternative price allocation data of all the material types in the belonging alternative material group can be adjusted again according to the adjusted matched price allocation data of any material type in any matched group, so as to obtain purchase resource allocation data of alternative supplier identifications corresponding to all the material types in the belonging alternative material group.

Illustratively, material 1 corresponding to provider 1 belongs to a matched set PT01-01 and to an alternate set TH001, the adjusted matched price allocation data of material 1 corresponding to provider 1 is 80%, the adjusted alternative price allocation data of material 1 corresponding to provider 1 is 40%, and then it may be determined that the procurement resource allocation data of material 1 corresponding to provider 1 is 40% ×80% =32%.

Illustratively, the adjusted alternative price allocation data 60% of the material 3 corresponding to the supplier 1 in the alternative material group TH001 may also be adjusted based on the adjusted alternative price allocation data 80 of the material 1 corresponding to the supplier 1, so as to obtain 60% ×80% =48% of the procurement resource allocation data of the material 3 corresponding to the supplier 1.

Therefore, the purchasing resource allocation data of the corresponding supplier identification can be determined according to the material types belonging to the replacement material group and the matched material group, and the flexibility of purchasing resource allocation of the material types in the matched material group and the replacement material group is improved.

The embodiment of the specification provides a purchasing resource distribution device. The procurement resource allocation apparatus may be applied to the procurement resource allocation system 100. Referring to fig. 11, the procurement resource allocation apparatus may include a first determination module 1110, a second determination module 1120, and a third determination module 1130.

A first determining module 1110 configured to determine a set of purchased resources; the purchasing resource set comprises a target material type, wherein the target material type corresponds to a plurality of supplier identifiers;

a second determining module 1120, configured to determine a corresponding target allocation proportion relationship between the plurality of vendor identifiers, with a management rule corresponding to the preset management and control group as a constraint if the target material type belongs to the preset management and control group; the preset control group is at least one of a replacement material group and a matched material group; the corresponding control rule of the replacement material group indicates that the sum of the distribution proportion of all material types in the replacement material group is equal to the specified percentage, and the corresponding control rule of the matched material group indicates that the distribution proportion of each material type in the matched material group is the same;

a third determining module 1130 is configured to determine purchasing resource allocation data between the target material type and the plurality of supplier identifiers according to the target allocation proportion relationship.

The specific functions and effects achieved by the purchasing resource allocation device may be explained with reference to other embodiments of the present specification, and will not be described herein. The various modules in the procurement resource allocation apparatus may be implemented, in whole or in part, by software, hardware, and combinations thereof. The modules can be embedded in hardware or independent of a processor in the computer device, or can be stored in a memory in the computer device in a software mode, so that the processor can call and execute the operations corresponding to the modules.

Referring to fig. 12, in some embodiments, a computer device may be provided, including a memory and a processor, where the memory stores a computer program, and the processor implements the method for allocating procurement resources in the foregoing embodiments when the processor executes the computer program.

The present specification embodiment also provides a computer-readable storage medium having stored thereon a computer program which, when executed by a computer, causes the computer to perform the procurement resource allocation method of any of the embodiments described above.

Embodiments of the present disclosure also provide a computer program product comprising instructions that, when executed by a computer, cause the computer to perform the method of allocating procurement resources in any of the embodiments described above.

In one embodiment, a computer device is provided, which may be a terminal, and the internal structure thereof may be as shown in fig. 12. The computer device includes a processor, a memory, and a communication interface connected by a system bus. Wherein the processor of the computer device is configured to provide computing and control capabilities. The memory of the computer device includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system and a computer program. The internal memory provides an environment for the operation of the operating system and computer programs in the non-volatile storage media. The communication interface of the computer device is used for carrying out wired or wireless communication with an external terminal, and the wireless mode can be realized through WIFI, an operator network, NFC (near field communication) or other technologies. The computer program, when executed by the processor, implements a procurement resource allocation method.

It will be appreciated that the specific examples herein are intended only to assist those skilled in the art in better understanding the embodiments of the present disclosure and are not intended to limit the scope of the present invention.

It should be understood that, in various embodiments of the present disclosure, the sequence number of each process does not mean that the execution sequence of each process should be determined by the function and the internal logic, and should not constitute any limitation on the implementation process of the embodiments of the present disclosure.

It will be appreciated that the various embodiments described in this specification may be implemented either alone or in combination, and are not limited in this regard.

Unless defined otherwise, all technical and scientific terms used in the embodiments of this specification have the same meaning as commonly understood by one of ordinary skill in the art to which this specification belongs. The terminology used in the description is for the purpose of describing particular embodiments only and is not intended to limit the scope of the description. The term "and/or" as used in this specification includes any and all combinations of one or more of the associated listed items. As used in this specification and the appended claims, the singular forms "a," "an," and "the" are intended to include the plural forms as well, unless the context clearly indicates otherwise.

It will be appreciated that the processor of the embodiments of the present description may be an integrated circuit chip having signal processing capabilities. In implementation, the steps of the above method embodiments may be implemented by integrated logic circuits of hardware in a processor or instructions in software form. The processor may be a general purpose processor, a Digital signal processor (Digital SignalProcessor, DSP), an application specific integrated circuit (Application Specific Integrated Circuit, ASIC), an off-the-shelf programmable gate array (Field Programmable Gate Array, FPGA) or other programmable logic device, discrete gate or transistor logic device, discrete hardware components. The methods, steps and logic blocks disclosed in the embodiments of the present specification may be implemented or performed. A general purpose processor may be a microprocessor or the processor may be any conventional processor or the like. The steps of a method disclosed in connection with the embodiments of the present specification may be embodied directly in hardware, in a decoded processor, or in a combination of hardware and software modules in a decoded processor. The software modules may be located in a random access memory, flash memory, read only memory, programmable read only memory, or electrically erasable programmable memory, registers, etc. as well known in the art. The storage medium is located in a memory, and the processor reads the information in the memory and, in combination with its hardware, performs the steps of the above method.

It will be appreciated that the memory in the embodiments of this specification may be either volatile memory or nonvolatile memory, or may include both volatile and nonvolatile memory. The nonvolatile memory may be a read-only memory (ROM), a Programmable ROM (PROM), an Erasable Programmable ROM (EPROM), an Electrically Erasable Programmable ROM (EEPROM), or a flash memory, among others. The volatile memory may be Random Access Memory (RAM). It should be noted that the memory of the systems and methods described herein is intended to comprise, without being limited to, these and any other suitable types of memory.

Those of ordinary skill in the art will appreciate that the elements and algorithm steps described in connection with the embodiments disclosed herein can be implemented as electronic hardware, or combinations of computer software and electronic hardware. Whether such functionality is implemented as hardware or software depends upon the particular application and design constraints imposed on the solution. Skilled artisans may implement the described functionality in varying ways for each particular application, but such implementation decisions should not be interpreted as causing a departure from the scope of the present specification.

It will be clear to those skilled in the art that, for convenience and brevity of description, specific working procedures of the above-described system, apparatus and unit may refer to corresponding procedures in the foregoing method embodiments, and are not repeated herein.

In the several embodiments provided in this specification, it should be understood that the disclosed systems, apparatuses, and methods may be implemented in other ways. For example, the apparatus embodiments described above are merely illustrative, e.g., the division of the units is merely a logical function division, and there may be additional divisions when actually implemented, e.g., multiple units or components may be combined or integrated into another system, or some features may be omitted or not performed. Alternatively, the coupling or direct coupling or communication connection shown or discussed with each other may be an indirect coupling or communication connection via some interfaces, devices or units, which may be in electrical, mechanical or other form.

The units described as separate units may or may not be physically separate, and units shown as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the embodiment.

In addition, each functional unit in each embodiment of the present specification may be integrated into one processing unit, each unit may exist alone physically, or two or more units may be integrated into one unit.

The functions, if implemented in the form of software functional units and sold or used as a stand-alone product, may be stored in a computer-readable storage medium. Based on this understanding, the technical solutions of the present specification may be essentially or portions contributing to the prior art or portions of the technical solutions may be embodied in the form of a software product stored in a storage medium, including several instructions to cause a computer device (which may be a personal computer, a server, or a network device, etc.) to perform all or part of the steps of the methods described in the embodiments of the present specification. And the aforementioned storage medium includes: a usb disk, a removable hard disk, a read-only memory (ROM), a random-access memory (RAM), a magnetic disk, or an optical disk, etc.

The foregoing is merely specific embodiments of the present disclosure, but the scope of the present disclosure is not limited thereto, and any person skilled in the art can easily think about changes or substitutions within the technical scope disclosed in the present disclosure, and should be covered by the scope of the present disclosure. Therefore, the protection scope of the present invention shall be subject to the protection scope of the claims.

Claims

1. A method for allocating procurement resources, the method comprising:

determining a purchase resource set; the purchasing resource set comprises a target material type, wherein the target material type corresponds to a plurality of supplier identifiers;

if the target material type belongs to a preset management and control group, determining a corresponding target distribution proportion relation among the plurality of supplier identifiers by taking a management and control rule corresponding to the preset management and control group as a constraint; wherein the preset control group is at least one of a replacement material group and a matched material group; the control rule corresponding to the replacement material group indicates that the sum of the distribution proportion of all material types in the replacement material group is equal to a specified percentage, and the control rule corresponding to the matched material group indicates that the distribution proportion of each material type in the matched material group is the same;

and determining purchasing resource allocation data between the target material type and the plurality of supplier identifiers according to the target allocation proportion relation.

2. The distribution method according to claim 1, wherein the plurality of provider identifications collectively correspond to purchase evaluation data; the determining mode of the target allocation proportion relation comprises the following steps:

And searching in the corresponding relation between the purchase evaluation data and the purchase distribution proportion according to the purchase evaluation data which are commonly corresponding to the plurality of supplier identifiers, and determining the target distribution proportion relation among the plurality of supplier identifiers.

3. The distribution method according to claim 2, wherein the correspondence between the purchase evaluation data and the purchase distribution ratio is a correspondence between a purchase evaluation section in which the purchase evaluation data is located and the purchase distribution ratio;

searching in the corresponding relation between the purchase evaluation data and the purchase allocation proportion according to the purchase evaluation data which are commonly corresponding to the plurality of supplier identifiers, and determining the target allocation proportion relation among the plurality of supplier identifiers comprises the following steps:

determining a target purchase evaluation interval in which the purchase evaluation data commonly corresponding to the plurality of provider identifiers are located;

and determining the purchasing distribution proportion corresponding to the target purchasing evaluation interval according to the corresponding relation between the purchasing evaluation interval and the purchasing distribution proportion, and taking the purchasing distribution proportion as the target distribution proportion relation.

4. A distribution method according to claim 3, wherein the manner of determining the purchasing distribution ratio includes:

Obtaining provider score data corresponding to each provider identifier;

determining a specified number of target supplier identifiers with scores meeting preset score screening conditions from the plurality of supplier identifiers according to the supplier score data; the target supplier identifier comprises a first supplier identifier and a second supplier identifier;

and determining the purchasing allocation proportion according to the score difference data between the first supplier identifier and the second supplier identifier and the quantity of the plurality of supplier identifiers.

5. The distribution method according to claim 1, wherein the plurality of vendor identifiers collectively correspond to price-related difference data, performance-related difference data, each of the vendor identifiers corresponding to quality assessment data; the allocation method further comprises the following steps:

if the target material type does not belong to the preset management and control group, searching in the corresponding relation between the price-related difference data and the purchasing allocation proportion according to the price-related difference data, and determining the price-related allocation proportion among the plurality of supplier identifiers;

and adjusting the price-related distribution proportion according to the quality evaluation data and the performance-related difference data to obtain a target distribution proportion relation among the plurality of provider identifiers.

6. The distribution method according to claim 5, wherein the quality evaluation data corresponding to each of the vendor identifiers is first-level quality evaluation data or second-level quality evaluation data, and the vendor identifier corresponding to the first-level quality evaluation data is denoted as a first-level vendor identifier; the supplier identifier corresponding to the second-level quality evaluation data is marked as a second-level supplier identifier;

the adjusting the price-related distribution proportion according to the quality evaluation data and the performance-related difference data to obtain a target distribution proportion relation among the plurality of provider identifications comprises the following steps:

determining first allocation data of the first-level provider identification in the price-related allocation proportion and second allocation data of the second-level provider identification in the price-related allocation proportion relation;

determining residual allocation data of the purchased resources based on preset limit allocation data corresponding to the second allocation data and the second level quality evaluation data;

adjusting the first distribution data according to the residual distribution data and the performance related difference data to obtain adjusted first distribution data;

And obtaining a target distribution proportion relation among the plurality of supplier identifiers according to the preset limit distribution data and the adjusted first distribution data.

7. The method of claim 1, wherein the predetermined set of controls is the set of replacement materials, the set of replacement materials corresponding to a plurality of replaceable supplier identifiers; the plurality of alternative supplier identifiers collectively correspond to price-related discrepancy data, performance-related discrepancy data, each of the alternative supplier identifiers corresponding to quality assessment data;

the determining the target allocation proportion relation corresponding to the plurality of provider identifiers by taking the management and control rule corresponding to the preset management and control group as a constraint comprises:

determining the replaceable price distribution proportion among the plurality of replaceable supplier identifiers according to price related difference data which are commonly corresponding to the plurality of replaceable supplier identifiers by taking the constraint that the sum of the distribution proportion of all the material types in the replaceable material group is equal to 100%;

determining alternative price-related allocation data for each of said alternative supplier identifications in said alternative price allocation proportion, subject to the constraint that the sum of allocation proportions of all material types within said alternative group equals 100%;

And taking the sum of the distribution proportion of all the material types in the replacement material group as a constraint condition, and adjusting the replaceable price related distribution data of each replaceable supplier identifier according to the quality evaluation data of each replaceable supplier identifier and the performance related difference data which are commonly corresponding to the plurality of replaceable supplier identifiers to obtain the target distribution proportion relation.

8. The distribution method according to claim 1, wherein the preset management and control group is the matched material group, the matched material group includes a plurality of matched groups, and the matched groups correspond to a plurality of matched provider identifiers; the plurality of matched groups commonly correspond to price-related difference data and performance-related difference data, and each matched group corresponds to quality evaluation data;

taking the sum of the distribution ratios among all the matched groups in the matched material group as a constraint condition, and determining the matched price distribution ratio among all the matched groups in the matched material group according to price related difference data which are commonly corresponding to all the matched groups in the matched material group;

Determining matched price distribution data of each matched group in the matched price distribution proportion by taking the constraint condition that the sum of the distribution proportions among all the matched groups in the matched material group is equal to 100 percent;

taking the sum of distribution ratios among all the matched groups in the matched material group as a constraint condition, and determining the matched performance distribution ratio among all the matched groups in the matched material group according to performance related difference data which are commonly corresponding to all the matched groups in the matched material group and quality evaluation data which are corresponding to each matched group;

determining matched performance distribution data of each matched group in the matched performance distribution proportion by taking the constraint condition that the sum of the distribution proportions among all the matched groups in the matched material group is equal to 100%;

according to the quality evaluation data corresponding to each matched group and the matched performance distribution data of each matched group in the matched performance distribution proportion, the matched price distribution data corresponding to each matched group is adjusted to obtain a target distribution proportion relation among all the matched groups in the matched material group; the target distribution proportion relation comprises matched price distribution data adjusted by each matched group;

Correspondingly, the determining the purchasing resource allocation data between the target material type and the plurality of supplier identifiers according to the target allocation proportion relation comprises the following steps:

and under the condition that the same material type does not exist in the matched group, the matched price distribution data corresponding to the matched group in the target distribution proportion relation is used as purchase resource distribution data of each material type in the matched group.

9. The allocation method according to claim 8, wherein said determining purchasing resource allocation data between said target material type and said plurality of supplier identifications according to said target allocation scaling relationship further comprises:

under the condition that the same material types exist in the matched group, the adjusted matched price allocation data corresponding to the matched group in the target allocation proportion relation is used as initial purchase resource allocation data of each material type in the matched group;

and adjusting initial purchase resource allocation data of the plurality of matched supplier identifiers of the same material type based on the price related difference data which corresponds to the plurality of matched supplier identifiers of the same material type, so as to obtain purchase resource allocation data of the plurality of matched supplier identifiers of the same material type.

10. The method of claim 1, wherein the predetermined management and control groups are the set of matched materials and the set of replacement materials, the set of matched materials comprising a plurality of matched groups, the plurality of matched groups corresponding to a plurality of matched vendor identifiers, the set of replacement materials corresponding to a plurality of replaceable vendor identifiers; the plurality of matched groups commonly correspond to price-related difference data and performance-related difference data, and each matched group corresponds to quality evaluation data; the plurality of alternative supplier identifiers collectively correspond to price-related discrepancy data, performance-related discrepancy data, each of the alternative supplier identifiers corresponding to quality assessment data;

under the condition that the same material types do not exist in the matched groups, the determining the corresponding target distribution proportion relation among the plurality of supplier identifiers by taking the management and control rules corresponding to the preset management and control groups as constraints comprises the following steps:

determining matched price distribution ratios among a plurality of matched groups according to price related difference data which are commonly corresponding to the plurality of matched groups by taking the sum of distribution ratios of all the matched groups in the matched groups as a constraint condition;

Determining matched price distribution data of each matched group in the matched price distribution proportion by taking the constraint condition that the sum of the distribution proportions of all the matched groups in the matched group is equal to 100 percent;

taking the distribution proportion of each material type in the matched group as a constraint condition, and taking the matched price distribution data as matched price distribution data of each material type in the matched group;

taking the sum of distribution proportions of all the matched groups in the matched material group as a constraint condition, and adjusting matched price distribution data of a plurality of matched groups according to quality evaluation data corresponding to each matched group and performance related difference data commonly corresponding to a plurality of matched groups to obtain matched price distribution data after the matched groups are adjusted;

if any material type in any matched group belongs to the replacement material group, determining the material type in the replacement material group to which the material type belongs;

determining the replaceable price allocation data of the replaceable supplier marks corresponding to each material type in the belonging replaceable price allocation proportion by taking the constraint condition that the sum of the allocation proportions of all the material types in the belonging replaceable material group is equal to 100%; wherein the alternative price allocation proportion is determined based on price-related difference data commonly corresponding to all material types in the belonging alternative material group;

Taking the sum of the distribution proportion of all the material types in the belonging replacement material group as a constraint condition, and according to the quality evaluation data of the replaceable supplier identifiers of each material type in the belonging replacement material group and the performance related difference data corresponding to the replaceable supplier identifiers of all the material types in the belonging replacement material group together, adjusting the replaceable price distribution data of each replaceable supplier identifier to obtain adjusted replaceable price distribution data;

and readjusting the adjusted alternative price allocation data of any material type in the replacement material group according to the adjusted matched price allocation data of any material type in any matched group to obtain purchase resource allocation data of alternative supplier identification corresponding to any material type.

11. A procurement resource allocation apparatus, characterized by comprising:

the first determining module is used for determining a purchased resource set; the purchasing resource set comprises a target material type, wherein the target material type corresponds to a plurality of supplier identifiers;

the second determining module is used for determining a corresponding target distribution proportion relation among the plurality of supplier identifiers by taking a management and control rule corresponding to the preset management and control group as a constraint if the target material type belongs to the preset management and control group; wherein the preset control group is at least one of a replacement material group and a matched material group; the control rule corresponding to the replacement material group indicates that the sum of the distribution proportion of all material types in the replacement material group is equal to a specified percentage, and the control rule corresponding to the matched material group indicates that the distribution proportion of each material type in the matched material group is the same;

And the third determining module is used for determining purchasing resource allocation data between the target material type and the plurality of supplier identifiers according to the target allocation proportion relation.

12. A computer device comprising a memory and a processor, the memory storing a computer program, characterized in that the processor implements the procurement resource allocation method of any of claims 1 to 10 when executing the computer program.

13. A computer readable storage medium having stored thereon a computer program, wherein the computer program when executed by a processor implements the procurement resource allocation method of any of claims 1 to 10.