CN115081959A

CN115081959A - Information processing method and device based on supply end, electronic equipment and readable medium

Info

Publication number: CN115081959A
Application number: CN202210989797.7A
Authority: CN
Inventors: 马海波; 陈恩光; 张晓波; 苏冰; 李深山; 吴星洁; 燕鹏; 王丽君; 韩清明; 毛硕
Original assignee: State Grid Information and Telecommunication Co Ltd; Beijing Guodiantong Network Technology Co Ltd
Current assignee: State Grid Information and Telecommunication Co Ltd; Beijing Guodiantong Network Technology Co Ltd
Priority date: 2022-08-18
Filing date: 2022-08-18
Publication date: 2022-09-20

Abstract

The embodiment of the disclosure discloses a supply-side-based information processing method and device, an electronic device and a readable medium. One embodiment of the method comprises: generating supply end grading information according to cleaning value circulation information, cleaning operation flow information, cleaning article quality information and cleaning operation evaluation information corresponding to the supply end to be selected; configuring and processing value circulation scoring information, operation flow scoring information, article quality scoring information and operation evaluation scoring information which are included in each supply terminal scoring information and meet configuration conditions to generate configuration supply terminal scoring information; and selecting at least one supply end to be selected from the supply ends to be selected as a target supply end group. According to the implementation method, the supply end with higher grade can be screened out preliminarily according to the operation information of the supply end. Therefore, the number of the bid documents submitted by the subsequent supply end is reduced, and the time for screening the supply end is reduced.

Description

Information processing method and device based on supply end, electronic equipment and readable medium

Technical Field

The embodiment of the disclosure relates to the field of computers, in particular to a supply-end-based information processing method and device, an electronic device and a readable medium.

Background

When selecting a supply end to produce an article, the supply end is selected with the increasing supply ends, and the method generally adopts the following steps: and sending the bid documents to the server by each supplier so that the client selects the supplier according to the bid documents.

However, the following technical problems generally exist in the above manner:

firstly, when the bid documents are more, the bid documents need to be screened for a longer time, so that the time for screening the supply end is longer;

secondly, the actual operation information of the supply end is not further analyzed, so that the selected supply end does not accord with the actual article production requirement, and the article production progress is influenced.

Disclosure of Invention

This summary is provided to introduce a selection of concepts in a simplified form that are further described below in the detailed description. This summary is not intended to identify key features or essential features of the claimed subject matter, nor is it intended to be used to limit the scope of the claimed subject matter.

Some embodiments of the present disclosure propose a provisioning-side based information processing method, apparatus, electronic device, and computer-readable medium to solve one or more of the technical problems noted in the background section above.

In a first aspect, some embodiments of the present disclosure provide a method for provisioning-based information processing, the method including: acquiring a value flow information set, an operation flow information set, an article quality information set and an operation evaluation information set corresponding to each supply terminal to be selected, wherein the value flow information in the value flow information set corresponds to the supply terminal to be selected in each supply terminal to be selected, the operation flow information in the operation flow information set corresponds to the supply terminal to be selected in each supply terminal to be selected, the article quality information in the article quality information set corresponds to the supply terminal to be selected in each supply terminal to be selected, and the operation evaluation information in the operation evaluation information set corresponds to the supply terminal to be selected in each supply terminal to be selected; cleaning the value flow information set, the operation flow information set, the article quality information set and the operation evaluation information set respectively to generate a cleaning value flow information set, a cleaning operation flow information set, a cleaning article quality information set and a cleaning operation evaluation information set; for each to-be-selected supply end in the to-be-selected supply ends, generating supply end scoring information according to cleaning value circulation information, cleaning operation flow information, cleaning article quality information and cleaning operation evaluation information corresponding to the to-be-selected supply end, wherein the supply end scoring information comprises: value circulation scoring information, operation flow scoring information, article quality scoring information and operation evaluation scoring information; according to the generated grading information of each supply terminal, configuring the value circulation grading information, the operation process grading information, the article quality grading information and the operation evaluation grading information which are included in each supply terminal grading information and meet the configuration conditions to generate configuration supply terminal grading information and obtain a configuration supply terminal grading information group; and selecting at least one to-be-selected supply end from the to-be-selected supply ends as a target supply end group according to the configured supply end grading information group and the target supply end grading information group, and sending the grading information and the supply end identification corresponding to the target supply end group to a target terminal for displaying.

In a second aspect, some embodiments of the present disclosure provide a supply-side based information processing apparatus, the apparatus including: an obtaining unit, configured to obtain a value flow information set, an operation flow information set, an article quality information set and an operation evaluation information set corresponding to each to-be-selected supply terminal, where the value flow information in the value flow information set corresponds to a to-be-selected supply terminal in the to-be-selected supply terminals, the operation flow information in the operation flow information set corresponds to a to-be-selected supply terminal in the to-be-selected supply terminals, the article quality information in the article quality information set corresponds to a to-be-selected supply terminal in the to-be-selected supply terminals, and the operation evaluation information in the operation evaluation information set corresponds to a to-be-selected supply terminal in the to-be-selected supply terminals; a cleaning unit configured to perform cleaning processing on the value flow information set, the work flow information set, the article quality information set, and the work evaluation information set, respectively, to generate a cleaning value flow information set, a cleaning work flow information set, a cleaning article quality information set, and a cleaning work evaluation information set; a generating unit, configured to generate, for each to-be-selected supply end of the to-be-selected supply ends, supply end score information according to cleaning value circulation information, cleaning operation flow information, cleaning article quality information, and cleaning operation evaluation information corresponding to the to-be-selected supply end, where the supply end score information includes: value circulation scoring information, operation flow scoring information, article quality scoring information and operation evaluation scoring information; the configuration unit is configured to configure the value flow scoring information, the operation flow scoring information, the article quality scoring information and the operation evaluation scoring information which are included in each piece of supply end scoring information and meet configuration conditions in each piece of supply end scoring information according to each piece of generated supply end scoring information so as to generate configuration supply end scoring information and obtain a configuration supply end scoring information group; and the selecting unit is configured to select at least one to-be-selected supply end from the to-be-selected supply ends as a target supply end group according to the configured supply end grading information group and the target supply end grading information group, and send the grading information and the supply end identification corresponding to the target supply end group to a target terminal for displaying.

In a third aspect, some embodiments of the present disclosure provide an electronic device, comprising: one or more processors; a storage device having one or more programs stored thereon, which when executed by one or more processors, cause the one or more processors to implement the method described in any of the implementations of the first aspect.

In a fourth aspect, some embodiments of the present disclosure provide a computer readable medium on which a computer program is stored, wherein the program, when executed by a processor, implements the method described in any of the implementations of the first aspect.

The above embodiments of the present disclosure have the following advantages: by the supplier-side-based information processing method of some embodiments of the present disclosure, the time for screening the suppliers is reduced. Specifically, the reason why the time for screening the supply side is long is that: when the bid documents are more, it takes longer time to screen the bid documents, resulting in longer time to screen the supplier. Based on this, in the supplier-based information processing method according to some embodiments of the present disclosure, first, a value flow information set, an operation flow information set, an article quality information set, and an operation evaluation information set corresponding to each supplier to be selected are obtained. Therefore, the supply end can be screened primarily according to the operation information of the supply end. Then, the value flow information set, the work flow information set, the article quality information set, and the work evaluation information set are subjected to cleaning processing, respectively, to generate a cleaning value flow information set, a cleaning work flow information set, a cleaning article quality information set, and a cleaning work evaluation information set. Thereby, invalid information in the respective information can be removed. And then, for each supply end to be selected in the supply ends to be selected, generating supply end grading information according to the cleaning value circulation information, the cleaning operation flow information, the cleaning article quality information and the cleaning operation evaluation information corresponding to the supply end to be selected. Thus, the supply terminals can be scored by using the operation information (value flow information, operation flow information, article quality information and operation evaluation information) of the supply terminals, so as to reduce the number of the supply terminals to be screened. And then, according to the generated grading information of each supply terminal, configuring the value circulation grading information, the operation flow grading information, the article quality grading information and the operation evaluation grading information which are included in each supply terminal grading information and meet the configuration conditions to generate configuration supply terminal grading information, so as to obtain a configuration supply terminal grading information group. And finally, selecting at least one to-be-selected supply end from the to-be-selected supply ends as a target supply end group according to the configured supply end grading information group and the target supply end grading information group, and sending the grading information and the supply end identification corresponding to the target supply end group to a target terminal for displaying. Therefore, the supply end with higher grade can be preliminarily screened out according to the operation information of the supply end. Therefore, the number of the bid documents submitted by the subsequent supply end is reduced, and the time for screening the supply end is reduced.

Drawings

The above and other features, advantages and aspects of various embodiments of the present disclosure will become more apparent by referring to the following detailed description when taken in conjunction with the accompanying drawings. Throughout the drawings, the same or similar reference numbers refer to the same or similar elements. It should be understood that the drawings are schematic and that elements and elements are not necessarily drawn to scale.

FIG. 1 is a flow diagram of some embodiments of a supplier-based information processing method according to the present disclosure;

FIG. 2 is a schematic block diagram of some embodiments of a supply-side based information processing apparatus according to the present disclosure;

FIG. 3 is a schematic block diagram of an electronic device suitable for use in implementing some embodiments of the present disclosure.

Detailed Description

Embodiments of the present disclosure will be described in more detail below with reference to the accompanying drawings. While certain embodiments of the present disclosure are shown in the drawings, it is to be understood that the disclosure may be embodied in various forms and should not be construed as limited to the embodiments set forth herein. Rather, these embodiments are provided for a more thorough and complete understanding of the present disclosure. It should be understood that the drawings and embodiments of the disclosure are for illustration purposes only and are not intended to limit the scope of the disclosure.

It should be noted that, for convenience of description, only the portions related to the related invention are shown in the drawings. The embodiments and features of the embodiments in the present disclosure may be combined with each other without conflict.

It should be noted that the terms "first", "second", and the like in the present disclosure are only used for distinguishing different devices, modules or units, and are not used for limiting the order or interdependence relationship of the functions performed by the devices, modules or units.

It is noted that references to "a", "an", and "the" modifications in this disclosure are intended to be illustrative rather than limiting, and that those skilled in the art will recognize that "one or more" may be used unless the context clearly dictates otherwise.

The names of messages or information exchanged between devices in the embodiments of the present disclosure are for illustrative purposes only, and are not intended to limit the scope of the messages or information.

The present disclosure will be described in detail below with reference to the accompanying drawings in conjunction with embodiments.

Fig. 1 is a flow diagram of some embodiments of a method of provisioning-based information processing according to the present disclosure. A flow 100 of some embodiments of a supplier-based information processing method in accordance with the present disclosure is shown. The information processing method based on the supply terminal comprises the following steps:

step 101, obtaining a value flow information set, an operation flow information set, an article quality information set and an operation evaluation information set corresponding to each supply terminal to be selected.

In some embodiments, an executing body (e.g., a computing device) of the supplier-based information processing method may acquire, from a terminal device, a value flow information set, a job flow information set, an article quality information set, and a job evaluation information set corresponding to each supplier to be selected through a wired connection or a wireless connection. The value circulation information in the value circulation information set corresponds to the supply terminals to be selected in the supply terminals to be selected. The operation flow information in the operation flow information set corresponds to the supply end to be selected in each supply end to be selected. The article quality information in the article quality information set corresponds to the supply end to be selected in each supply end to be selected. The job evaluation information in the job evaluation information set corresponds to the to-be-selected supply terminal in the to-be-selected supply terminals. The supply end to be selected may refer to a terminal to be selected for supplying an item. The value flow information may represent value flow information, value input information, production output information, and order volume information for a supply end to produce and manufacture an article. For example, value flow information may include, but is not limited to: total supplier value (total supplier asset value), total value shrinkage (rate of liabilities), liquidity ratio (e.g., ratio of flowing assets to flowing liabilities), and unit value capture (annual revenue). For example, value investment information may include, but is not limited to: the system comprises a cost ratio of investment value (a ratio of investment value of a year-developed article to year-operated income), first quantity information (for example, the first quantity information can represent the quantity of patent authorization of a supply end), second quantity information (for example, the second quantity information can represent the quantity of awards obtained by the supply end) and third quantity information (the third quantity information can represent the times of research and development tests of a certain article by the supply end). For example, production input information may include, but is not limited to: production floor space (floor space for producing items), number of production facilities (number of facilities for producing items), and number of business personnel (number of staff). For example, production output information may include, but is not limited to: unit item production volume (number of items produced per year), item repair site volume (number of sites serviced for after sales service), and item repair duration (longest warranty duration). For example, the order amount information may represent an annual order amount. The workflow information may represent process information for producing the article. For example, the workflow information may include, but is not limited to: target item detection results (for target item spot inspection results, target item may refer to items produced by the supply end) and target item production flow data (flow information for producing target item, i.e., critical process). The article quality information may indicate the quality of the article produced. For example, the item quality information may include, but is not limited to: yield information, article quality rate information (indicating article quality rate, number of good quality items for EIP quality evaluation/total number of EIP quality evaluations), and equipment failure rate information (operation failure rate = number of failures/(number of equipment × year)). The yield information includes a sampling yield and a one-time pass yield (one-time pass yield = number of one-time passes in factory test/number of factory test). The job evaluation information may be evaluation information indicating that the user has evaluated the supply terminal. For example, job rating information may include, but is not limited to: the timely arrival rate and the user rating value (the rating of the user to the supplier).

And 102, respectively cleaning the value flow information set, the operation flow information set, the article quality information set and the operation evaluation information set to generate a cleaning value flow information set, a cleaning operation flow information set, a cleaning article quality information set and a cleaning operation evaluation information set.

In some embodiments, the execution subject may perform a cleaning process on the value flow information set, the work flow information set, the article quality information set, and the work evaluation information set to generate a cleaning value flow information set, a cleaning work flow information set, a cleaning article quality information set, and a cleaning work evaluation information set, respectively. Here, the cleaning process may be performed to remove information (value flow information, work flow information set, article quality information, and work evaluation information) in which blank fields exist in the value flow information set, the work flow information set, the article quality information set, and the work evaluation information set, respectively.

And 103, generating supply end grading information for each supply end to be selected in each supply end to be selected according to the cleaning value circulation information, the cleaning operation flow information, the cleaning article quality information and the cleaning operation evaluation information corresponding to the supply end to be selected.

In some embodiments, the execution main body may generate, for each to-be-selected supply end of the to-be-selected supply ends, supply end score information according to cleaning value flow information, cleaning operation flow information, cleaning article quality information, and cleaning operation evaluation information corresponding to the to-be-selected supply end. Wherein, the supplier scoring information includes: value circulation scoring information, operation flow scoring information, article quality scoring information and operation evaluation scoring information.

In practice, according to the cleaning value circulation information, the cleaning operation flow information, the cleaning article quality information and the cleaning operation evaluation information corresponding to the supply terminal to be selected, the execution main body can generate the supply terminal scoring information by the following steps:

the method comprises the steps of firstly, generating value circulation grading information according to value circulation information, value input information, production output information and order quantity information which are included in the cleaning value circulation information.

In practice, the first step described above may comprise the following sub-steps:

and a first substep, obtaining values according to the total value, the total value shrinkage rate, the flow rate and the unit value of the supply terminal included in the value flow information, and generating value flow scoring information.

In practice, the above-mentioned first sub-step may comprise the steps of:

1. and determining the minimum total value of the supply terminals corresponding to the supply terminals to be selected.

2. And determining the average value of the total value of each supply terminal corresponding to each supply terminal to be selected as the value average value of the supply terminals. The supply end to be selected in each supply end to be selected corresponds to the supply end total value of the supply end total value.

3. And determining the standard deviation of the total value of each supply end corresponding to each supply end to be selected as a supply end value difference value.

4. And generating a total value score of the supplier end according to the total value of the supplier end, the minimum total value of the supplier end, the average value of the supplier end and the value difference of the supplier end. The supplier end total value credit value may be generated by: total value of supply score = a + (100-a) (total value of supply-minimum total value of supply)/(mean value of supply +0.2 + difference of value of supply-minimum total value of supply). Where A is a constant obtained by experiment. May represent a multiplication number.

5. And selecting a total value shrinkage rate score corresponding to the total value shrinkage rate from a preset total value shrinkage rate score table as a total value shrinkage rate score. Here, the total value shrinkage rate score table may refer to a score table of a preset different total value shrinkage rate interval. For example, the total value shrinkage interval is between (0, 0.2), the total value shrinkage score is 95, the total value shrinkage interval is between (0.2, 0.4), and the total value shrinkage score is 85.

6. And determining the minimum flow ratio in the flow ratios corresponding to the supply ends to be selected. The supply port to be selected among the respective supply ports to be selected corresponds to a flow ratio among the respective flow ratios.

7. And determining the average value of the flow ratios corresponding to the supply ends to be selected as the flow ratio average value.

8. And determining the standard deviation of each flow ratio corresponding to each supply end to be selected as a flow ratio difference value.

9. And generating a flow ratio score value according to the flow ratio, the minimum flow ratio, the flow ratio mean value and the flow ratio difference value. The flow ratio score value may be generated by: flow ratio score = B + (100-B) × (flow ratio-minimum flow ratio)/(flow ratio mean +0.2 × flow ratio difference-minimum flow ratio). Where B is a constant obtained by experiment.

10. And generating a unit value acquisition score value according to the unit value acquisition value and the target value acquisition value. Here, the target value acquisition value may be a total value acquisition value of the supply side within a preset time period. For example, the target value capture value may be the sum of the unit value capture values over three consecutive years. In practice, the unit value acquisition score value may be generated by: the unit value acquisition score value = ((unit value acquisition value/target value acquisition value) ^ (1/3) -1) × 100%.

11. And combining the supply end total value score value, the total value shrinkage score value, the flow rate score value and the unit value acquisition score value into value flow score information.

And a second substep of generating value investment score information based on the value investment information.

In practice, the above-mentioned second substep may comprise the following steps:

1. and determining the minimum investment value ratio in the investment value ratios corresponding to the supply terminals to be selected. And the input value ratio of each input value ratio corresponding to the to-be-selected supply end in each to-be-selected supply end.

2. And determining the average value of the input value ratios corresponding to the supply terminals to be selected as the average value of the input value ratios.

3. And determining the standard deviation of each input value ratio corresponding to each supply end to be selected as an input value ratio difference value.

4. And generating an input value ratio score according to the input value ratio, the minimum input value ratio, the input value ratio average value and the input value ratio difference value. The value on investment scale score may be generated by: flow ratio score = B + (100-B) × (flow ratio-minimum flow ratio)/(flow ratio mean +0.2 × flow ratio difference-minimum flow ratio). Where B is a constant obtained by experiment.

5. And generating a first quantity information initial scoring value according to the first quantity information and each conversion coefficient corresponding to the first quantity information. For example, the first quantity information may be composed of the number of issued patents of different types (invention, utility model, appearance). The conversion coefficient may be a certain type of coefficient set in advance. In practice, first, the product of the number of each type included in the first number information and the conversion coefficient corresponding to the above number may be determined as a number product. Then, the sum of the determined products of the respective quantities may be determined as the first quantity information initial score value.

6. And generating a first quantity information score value according to the first quantity information initial score value and each first quantity information initial score value corresponding to each supply terminal to be selected. And the to-be-selected supply end of each to-be-selected supply end corresponds to the first quantity information initial score value in each first quantity information initial score value. First, the minimum first quantity information initial score value in the first quantity information initial score values is determined. Then, the average value of the initial score values of the first quantity information is determined as the average value of the scores of the first quantity information. Then, the standard deviation of the initial scoring value of each first quantity information is determined as the scoring difference value of the first quantity information. Finally, a first quantity information score value may be generated by: first number information score value = C + (100-C) (first number information initial score value-minimum first number information initial score value)/(first number information score mean + 0.2-first number information score difference-minimum first number information initial score value). Where C is a constant obtained from experiments.

7. And generating a second quantity information initial score value according to the second quantity information and each weight coefficient corresponding to the second quantity information. For example, the second amount information may be composed of the number of awards of different levels. The weighting coefficient may be a coefficient of a predetermined prize of a certain level. In practice, first, the product of the number corresponding to each level included in the second quantity information and the weight coefficient corresponding to the number may be determined as a weight-number product. Then, the sum of the determined products of the respective weight amounts may be determined as the second quantitative information initial score value.

8. And generating second quantity information score values according to the second quantity information initial score values and the second quantity information initial score values corresponding to the to-be-selected supply terminals. And the to-be-selected supply end of each to-be-selected supply end corresponds to the second quantity information initial score value in each second quantity information initial score value. First, the minimum second-quantity information initial score value among the respective second-quantity information initial score values is determined. Next, the average value of the initial score values of the respective second quantitative information is determined as the average value of the scores of the second quantitative information. Then, the standard deviation of the initial score values of the respective second quantitative information is determined as the score difference value of the second quantitative information. Finally, a second quantitative information score value may be generated by: second quantitative information score value = D + (100-D) (second quantitative information initial score value-minimum second quantitative information initial score value)/(second quantitative information score mean +0.1 ×. second quantitative information score difference-minimum second quantitative information initial score value). Where D is a constant obtained from experiments.

9. And generating a third quantity information scoring value according to the third quantity information and each piece of third quantity information corresponding to each supply end to be selected. And the to-be-selected supply end of each to-be-selected supply end corresponds to the third quantity information initial score value in each third quantity information initial score value. First, the minimum value among the respective values included in the respective third quantity information is determined. Next, an average value of the numerical values included in the respective third quantity information is determined as a third quantity information average value. Then, the standard deviation of the numerical values included in the respective third quantity information is determined as a third quantity information difference value. Finally, a third quantity information score value may be generated by: the third quantity information score value = E + (100-E) (the value included in the third quantity information-the minimum value)/(the third quantity information mean + 0.1-the third quantity information difference-the minimum value). Where E is a constant obtained by experiment.

10. And combining the value-in-investment ratio score, the first quantity information score, the second quantity information score and the third quantity information score into value-in-investment score information.

And a third substep of generating production input scoring information according to the production input information.

In practice, the above-mentioned third substep may comprise the following steps:

1. and determining the minimum production site area in the production site areas corresponding to the supply terminals to be selected. The supply end to be selected in each supply end to be selected corresponds to the production site area in each production site area.

2. And determining the average value of the production site areas corresponding to the supply terminals to be selected as the average value of the production site areas.

3. And determining the standard deviation of the production site area corresponding to each supply end to be selected as a production site area difference value.

4. And generating a production site area score value according to the production site area, the minimum production site area, the average production site area and the difference value of the production site areas. The production floor area score value may be generated by: production site area score = F + (100-F) (production site area-minimum production site area)/(production site area mean +0.1 production site area difference-minimum production site area). Where F is a constant obtained from experiments.

5. And generating a production equipment number grading value according to the production equipment number and the production equipment numbers corresponding to the supply terminals to be selected. The supply end to be selected in each supply end to be selected corresponds to the production equipment number in each production equipment number. First, the minimum number of production apparatuses among the above-described respective numbers of production apparatuses is determined. Next, the standard deviation of the respective numbers of production apparatuses described above is determined as a difference in the number of production apparatuses. Then, the average value of the above-mentioned respective production facility numbers is determined as a production facility number average value. Finally, a production equipment number score value may be generated by: production equipment number score = G + (100-G) (production equipment number-minimum production equipment number)/(production equipment number mean +0.1 production equipment number difference-minimum production equipment number). Where G may be a constant obtained from experiments.

6. And generating a service staff number scoring value according to the service staff number and the service staff number corresponding to each supply end to be selected. The supply terminals to be selected in the supply terminals to be selected correspond to the number of the service personnel in the number of the service personnel. First, the minimum number of the business persons is determined. And then, determining the standard deviation of the number of the business personnel as the business personnel number difference. And then, determining the average value of the number of the service personnel as the average value of the number of the service personnel. Finally, the business person number score value may be generated by: the service staff number score value = H + (100-H) × (service staff number-minimum service staff number)/(service staff number average +0.1 × service staff number difference-minimum service staff number). Where H may be a constant obtained from experiments.

7. And combining the production site area scoring value, the production equipment quantity scoring value and the service personnel quantity scoring value into production investment scoring information.

And a fourth substep of generating production output score information based on the production output information.

In practice, the fourth substep described above may comprise the following steps:

1. and generating a unit article production amount score value according to the unit article production amount and each unit article production amount corresponding to each supply end to be selected. The to-be-selected supply end of each to-be-selected supply end corresponds to the unit article production amount of each unit article production amount. First, the minimum unit article production amount among the above-described respective unit article production amounts is determined. Next, the standard deviation of the production amounts of the respective unit articles is determined as a unit article production amount difference. Then, the average of the production amounts of the respective unit articles is determined as the average of the production amounts of the unit articles. Finally, the unit item production score value may be generated by: the unit item production score = I + (100-I) (unit item production-minimum unit item production)/(unit item production mean +0.1 + unit item production difference-minimum unit item production). Where I may be a constant obtained from experiments.

2. And generating a goods maintenance site quantity scoring value according to the goods maintenance site quantity and the goods maintenance site quantity corresponding to each supply end to be selected. And the supply end to be selected in each supply end to be selected corresponds to the quantity of the article maintenance stations in the quantity of the article maintenance stations. First, the minimum item repair site amount among the above item repair site amounts is determined. And then, determining the standard deviation of the quantity of each article maintenance station as an article maintenance station quantity difference value. Then, the average value of the quantity of each article maintenance station is determined as the average value of the quantity of the article maintenance stations. Finally, an item repair site quantity score value may be generated by: item repair site quantity score = J + (100-J) (item repair site quantity-minimum item repair site quantity)/(item repair site quantity mean +0.1 item repair site quantity difference-minimum item repair site quantity). Where J may be a constant obtained from experiments.

3. And selecting the article maintenance time score corresponding to the article maintenance time from a preset article maintenance time score table as an article maintenance time score. Here, the item maintenance duration scoring table may refer to a predetermined scoring table for different item maintenance duration intervals. For example, the item service duration interval is (1 month, 6 months) and the item service duration score is 60, the item service duration interval is (6 months, 12 months) and the item service duration score is 70.

4. And combining the unit article production quantity grading value, the article maintenance site quantity grading value and the article maintenance time grading value into production output grading information.

And a fifth substep of generating order quantity scoring information according to the order quantity information.

In practice, the above-mentioned fifth substep may comprise the steps of:

1. and determining the minimum unit article order quantity in the unit article order quantities corresponding to the supply ends to be selected. The supply end to be selected in each supply end to be selected corresponds to the unit article order quantity in each unit article order quantity.

2. And determining the average value of the order quantity of each unit article corresponding to each supply end to be selected as the average value of the order quantity of the unit articles.

3. And determining the standard deviation of the order quantity of each unit article corresponding to each supply end to be selected as the order quantity difference value of the unit article.

4. And generating an order quantity scoring value as order quantity scoring information according to the order quantity of the unit article, the minimum order quantity of the unit article, the average order quantity of the unit article and the difference value of the order quantity of the unit article. The order score value may be generated by: order quantity score = K + (100-K) (unit item order quantity-minimum unit item order quantity)/(unit item order quantity mean +0.1 unit item order quantity difference-minimum unit item order quantity). Where K may be a constant obtained from experiments.

A sixth substep of combining the value liquidity scoring information, the value investment scoring information, the production output scoring information, and the order amount scoring information into value circulation scoring information.

And secondly, generating operation flow scoring information according to the cleaning operation flow information.

In practice, the above-mentioned second step may comprise the following sub-steps:

the first substep is to select a target article detection result score corresponding to the target article detection result from a preset target article detection result score table as a detection result score value. Here, the target item detection result scoring table may be a predetermined scoring table corresponding to different target item detection results. Each target article detection result corresponds to a target article detection result score. In practice, the target article detection result score corresponding to the target article detection result may be selected from a preset target article detection result score table as a detection result score value.

And a second substep of selecting a target article production process data score corresponding to the target article production process data from a preset target article production process data score table as a production process data score value. Here, the target item production process data scoring table may refer to a predetermined scoring table corresponding to different target item production process data. Each target article production process data corresponds to a target article production process data score. In practice, the target article production process data score corresponding to the target article production process data can be selected from a preset target article production process data score table to serve as a production process data score value.

And a third substep of combining the detection result score value and the production process data score value into operation process score information.

And thirdly, generating article quality grading information according to the quality information of the cleaning articles.

In practice, the above-mentioned third step may comprise the following sub-steps:

the first substep is to select the spot inspection qualification rate score corresponding to the spot inspection qualification rate from a preset spot inspection qualification rate scoring table as a spot inspection qualification rate scoring value. Here, the spot inspection yield rating table may refer to a rating table of different preset spot inspection yield intervals. For example, the spot check qualification rate interval is between (0, 0.2), the spot check qualification rate score is 20, the spot check qualification rate interval is between (0.2, 0.4), and the spot check qualification rate score is 40.

And a second substep of selecting a one-time pass yield score corresponding to the one-time pass yield from a preset one-time pass yield score table as a one-time pass yield score value. Here, the one-time-pass yield score table may refer to a score table of predetermined different one-time-pass yield intervals. For example, the one-pass yield interval is between (0, 0.2) and the one-pass yield score is 20, the one-pass yield interval is between (0.2, 0.4) and the one-pass yield score is 40.

And a third substep of selecting an item quality rate score corresponding to the item quality rate included in the item quality rate information from a preset item quality rate score table as an item quality rate score value. Here, the item quality rate score table may refer to a score table of predetermined different item quality rate sections. For example, the item quality rate section is between (0, 0.2), the item quality rate score is 20, the item quality rate section is between (0.2, 0.4), and the item quality rate score is 40.

And a fourth substep of selecting an equipment failure rate score corresponding to the equipment failure rate included in the equipment failure rate information from a preset equipment failure rate score table as an equipment failure rate score value. Here, the device failure rate rating table may refer to a rating table of different preset device failure rate intervals. For example, the equipment failure rate interval is between (0, 0.2), the item quality rating score is 90, the equipment failure rate interval is between (0.2, 0.4), and the equipment failure rate score is 80.

And a fifth substep of combining the spot inspection qualification rate score, the one-time pass qualification rate score, the article high-quality rate score and the equipment failure rate score into article quality score information.

And fourthly, generating operation evaluation grading information according to the cleaning operation evaluation information. Wherein the cleaning operation evaluation information includes: the arrival timeliness and the user rating value.

In practice, the fourth step described above may comprise the following sub-steps:

the method comprises the steps of firstly, selecting a goods arrival time rate score corresponding to the goods arrival time rate from a preset goods arrival time rate score table as a goods arrival time rate score value. Here, the arrival and time rate score table may refer to a score table of different arrival and time rate intervals set in advance. For example, the arrival time rate interval is between (0, 0.2), the arrival time rate score is 20, the arrival time rate interval is between (0.2, 0.4), and the arrival time rate score is 40.

And secondly, combining the goods arrival time rate scoring value and the user scoring value into operation evaluation scoring information.

The related content in step 103 is an inventive point of the present disclosure, thereby solving the second technical problem mentioned in the background art that "further analysis is not considered according to the actual operation information of the supply end, which results in that the selected supply end does not conform to the actual production demand of the goods and affects the progress of the goods production". Factors that affect the progress of the production of an article tend to be as follows: further analysis according to actual operation information of the supply end is not considered, so that the selected supply end does not accord with the actual article production requirement, and the article production progress is influenced. If the factors are solved, the supply end meeting the production requirement of the article can be selected, and the influence on the production progress of the article is reduced. In order to achieve this effect, first, value circulation score information is generated based on the value circulation information, the value input information, the production output information, and the order amount information included in the cleaning value circulation information. Thus, the operating state of the supply end can be determined from the viewpoint of value flow information of the supply end. Then, based on the cleaning work flow information, work flow scoring information is generated. Thereby, the operation state of the supply end can be considered from the viewpoint of the work flow (article production flow) of the supply end. Then, based on the above-mentioned quality information of the washing article, article quality score information is generated. Thus, the supply side can be scored from the perspective of the quality of the product produced by the supply side. Thus, the subsequently selected supply end can be made to produce an article that meets the demand. Then, based on the cleaning work evaluation information, work evaluation score information is generated. Thus, the supplier can be scored from the perspective of the user's evaluation of the supplier. And finally, combining the supplier identification corresponding to the supplier to be selected, the value flow grading information, the operation flow grading information, the article quality grading information and the operation evaluation grading information into supplier grading information. Thus, the supply end can be graded from four aspects of value circulation, operation flow, article quality, operation evaluation and the like. Therefore, each supply end to be selected can be screened conveniently and preliminarily in the follow-up process. Furthermore, the supply end which is in accordance with the actual article production requirement can be screened out, and the influence on the article production progress is reduced.

And 104, according to the generated grading information of each supply terminal, configuring the value circulation grading information, the operation process grading information, the article quality grading information and the operation evaluation grading information which are included in each supply terminal grading information and meet the configuration conditions in each supply terminal grading information to generate configuration supply terminal grading information and obtain a configuration supply terminal grading information group.

In some embodiments, the executing body may perform configuration processing on the value flow score information, the work flow score information, the article quality score information, and the work evaluation score information included in each piece of supplier score information that satisfies the configuration condition, according to each piece of generated supplier score information, to generate configuration supplier score information, and obtain a configuration supplier score information group. The configuration conditions may be: among the respective score values included in the provider-side score information, there is a score value of 0. Here, the configuration process may mean: for each supplier rating information, replacing a rating value which is 0 in any rating value included in the supplier rating information with a rating mean value corresponding to any rating value. Here, any score value may include, but is not limited to: the system comprises a supplier end total value scoring value, a total value shrinkage scoring value, a flow ratio scoring value, a unit value acquisition scoring value, a input value ratio scoring value, a first quantity information scoring value, a second quantity information scoring value, a third quantity information scoring value, a production site area scoring value, a production equipment quantity scoring value, a service personnel quantity scoring value, a unit article production quantity scoring value, an article maintenance site quantity scoring value, an article maintenance duration scoring value, an order quantity scoring value, a detection result scoring value, a production process data scoring value, a spot inspection qualification rate scoring value, a one-time pass qualification rate scoring value, an article high-quality rating scoring value, an equipment failure rate scoring value, a good-arrival time rate scoring value and a user scoring value. The score mean corresponding to any one of the score values may refer to a mean value of the score values having the same score type as that of the score value corresponding to any one of the score values. For example, when any of the above-mentioned score values is the total value score value of the suppliers, the score mean corresponding to any of the above-mentioned score values is the mean of the total value score values of each supplier corresponding to each supplier to be selected.

And 105, selecting at least one to-be-selected supply end from the to-be-selected supply ends as a target supply end group according to the configured supply end grading information group and the target supply end grading information group, and sending each grading information and supply end identification corresponding to the target supply end group to a target terminal for displaying.

In some embodiments, the execution main body may select at least one to-be-selected supplier from the to-be-selected suppliers as a target supplier group according to the configured supplier scoring information group and the target supplier scoring information group, and send each piece of scoring information and a supplier identifier corresponding to the target supplier group to a target terminal for presentation. Here, the target-provider-side rating information group may refer to individual provider-side rating information that has not been subjected to the configuration processing. In practice, first, the configured supplier rating information group and the target supplier rating information group may be combined into an alternative supplier rating information group. Then, the sum of the score values included in each candidate supplier scoring information in the candidate supplier scoring information group may be determined as a supplier score value, so as to obtain a supplier score value group. Then, the above-mentioned supplier scoring value groups can be sorted in descending order to obtain a supplier scoring value sequence. Then, a preset number of supplier grade values are selected from the supplier grade value sequence in sequence to serve as a target supplier grade value group. And then, determining the supply end to be selected corresponding to the grade value of each target supply end in the grade value group of the target supply ends as the target supply end to obtain the target supply end group. And finally, sending each piece of grading information and the supplier identification corresponding to the target supplier group to a target terminal for displaying. The target supply terminals in the target supply terminal group correspond to the scoring information in each scoring information. The scoring information may be configuration provider scoring information or target provider scoring information corresponding to the target provider. The target terminal may be a terminal preset for screening the provisioning end. The supplier identity may uniquely represent a supplier to be selected.

Optionally, the supplier identifications corresponding to the abnormal supplier group are sent to the alarm terminal for alarm processing.

In some embodiments, the execution body may send each supplier identifier corresponding to the abnormal supplier group to the alarm terminal for alarm processing. Here, the abnormal supplier group may refer to each supplier to be selected other than the target supplier group among the above-described each suppliers to be selected. The alert terminal may be a terminal that monitors the supplier to be selected having a low score value. The alarm processing may be displaying warning text or controlling a speaker to emit an alert sound.

The above embodiments of the present disclosure have the following advantages: by the supplier-based information processing method of some embodiments of the present disclosure, the time for screening bid documents is reduced. Specifically, the reason why it takes a long time to filter the bid documents is that it takes a long time to filter the bid documents when there are many bid documents. Based on this, the supplier-side-based information processing method of some embodiments of the present disclosure, first, in response to receiving the item production query information, adds the item production query information to an item production query information table template to generate an item production query information table, and transmits the item production query information table and a preset bid document template to a preset supplier terminal. Therefore, each supply end can conveniently fill the bid document according to the item production query information table. And then, responding to the received bid document set which is sent by the supply terminal and corresponds to the article production query information table, acquiring historical electric power information corresponding to each bid document in the bid document set, and obtaining a historical electric power information set. Therefore, data support is provided for preliminarily screening the bid documents. And then, generating a target bidding document group according to the historical electric power information set and the bidding document set. Therefore, unqualified bid documents can be preliminarily eliminated according to the electric power data, and the time for screening the bid documents subsequently is shortened. Then, each target bid document in the target bid document set is encrypted to generate an encrypted target bid document, and an encrypted target bid document set is obtained. Therefore, the confidentiality of the bidding document in the transmission process can be improved. And finally, sending the encrypted target bidding document group to a client corresponding to the article production query information. Thus, the time for the user to filter the bid document is reduced.

With further reference to fig. 2, as an implementation of the methods shown in the above figures, the present disclosure provides some embodiments of a provider-based information processing apparatus, which correspond to those shown in fig. 1, and which may be applied in various electronic devices.

As shown in fig. 2, the supply-side based information processing apparatus 200 of some embodiments includes: an acquisition unit 201, a cleaning unit 202, a generation unit 203, a configuration unit 204 and a selection unit 205. The obtaining unit 201 is configured to obtain a value flow information set, an operation flow information set, an article quality information set and an operation evaluation information set corresponding to each to-be-selected supply terminal, where the value flow information in the value flow information set corresponds to the to-be-selected supply terminal in the to-be-selected supply terminals, the operation flow information in the operation flow information set corresponds to the to-be-selected supply terminal in the to-be-selected supply terminals, the article quality information in the article quality information set corresponds to the to-be-selected supply terminal in the to-be-selected supply terminals, and the operation evaluation information in the operation evaluation information set corresponds to the to-be-selected supply terminal in the to-be-selected supply terminals; a cleaning unit 202 configured to perform cleaning processing on the value flow information set, the work flow information set, the article quality information set, and the work evaluation information set, respectively, to generate a cleaning value flow information set, a cleaning work flow information set, a cleaning article quality information set, and a cleaning work evaluation information set; a generating unit 203 configured to generate, for each to-be-selected supply end of the to-be-selected supply ends, supply end score information according to cleaning value flow information, cleaning operation flow information, cleaning article quality information, and cleaning operation evaluation information corresponding to the to-be-selected supply end, where the supply end score information includes: value circulation scoring information, operation flow scoring information, article quality scoring information and operation evaluation scoring information; the configuration unit 204 is configured to perform configuration processing on value flow scoring information, operation flow scoring information, article quality scoring information and operation evaluation scoring information included in each piece of supplier scoring information meeting configuration conditions in each piece of supplier scoring information according to each piece of generated supplier scoring information to generate configuration supplier scoring information and obtain a configuration supplier scoring information group; the selecting unit 205 is configured to select at least one to-be-selected supplier from the to-be-selected suppliers as a target supplier group according to the configured supplier scoring information group and the target supplier scoring information group, and send each scoring information and supplier identification corresponding to the target supplier group to a target terminal for presentation.

It will be understood that the units described in the apparatus 200 correspond to the various steps in the method described with reference to fig. 1. Thus, the operations, features and resulting advantages described above with respect to the method are also applicable to the apparatus 200 and the units included therein, and are not described herein again.

Referring now to FIG. 3, shown is a schematic block diagram of an electronic device 300 (e.g., a computing device) suitable for use in implementing some embodiments of the present disclosure. The electronic devices in some embodiments of the present disclosure may include, but are not limited to, mobile terminals such as mobile phones, notebook computers, digital broadcast receivers, PDAs (personal digital assistants), PADs (tablet computers), PMPs (portable multimedia players), and the like, and fixed terminals such as digital TVs, desktop computers, and the like. The electronic device shown in fig. 3 is only an example, and should not bring any limitation to the functions and the scope of use of the embodiments of the present disclosure.

As shown in fig. 3, the electronic device 300 may include a processing means (e.g., a central processing unit, a graphics processor, etc.) 301 that may perform various appropriate actions and processes in accordance with a program stored in a Read Only Memory (ROM) 302 or a program loaded from a storage means 308 into a Random Access Memory (RAM) 303. In the RAM303, various programs and data necessary for the operation of the electronic apparatus 300 are also stored. The processing device 301, the ROM302, and the RAM303 are connected to each other via a bus 304. An input/output (I/O) interface 305 is also connected to bus 304.

Generally, the following devices may be connected to the I/O interface 305: input devices 306 including, for example, a touch screen, touch pad, keyboard, mouse, camera, microphone, accelerometer, gyroscope, etc.; an output device 307 including, for example, a Liquid Crystal Display (LCD), a speaker, a vibrator, and the like; storage devices 308 including, for example, magnetic tape, hard disk, etc.; and a communication device 309. The communication means 309 may allow the electronic device 300 to communicate wirelessly or by wire with other devices to exchange data. While fig. 3 illustrates an electronic device 300 having various means, it is to be understood that not all illustrated means are required to be implemented or provided. More or fewer devices may alternatively be implemented or provided. Each block shown in fig. 3 may represent one device or may represent multiple devices, as desired.

In particular, according to some embodiments of the present disclosure, the processes described above with reference to the flow diagrams may be implemented as computer software programs. For example, some embodiments of the present disclosure include a computer program product comprising a computer program embodied on a computer readable medium, the computer program comprising program code for performing the method illustrated in the flow chart. In some such embodiments, the computer program may be downloaded and installed from a network through the communication device 309, or installed from the storage device 308, or installed from the ROM 302. The computer program, when executed by the processing apparatus 301, performs the above-described functions defined in the methods of some embodiments of the present disclosure.

It should be noted that the computer readable medium described in some embodiments of the present disclosure may be a computer readable signal medium or a computer readable storage medium or any combination of the two. A computer readable storage medium may be, for example, but not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any combination of the foregoing. More specific examples of the computer readable storage medium may include, but are not limited to: an electrical connection having one or more wires, a portable computer diskette, a hard disk, a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing. In some embodiments of the disclosure, a computer readable storage medium may be any tangible medium that can contain, or store a program for use by or in connection with an instruction execution system, apparatus, or device. In some embodiments of the present disclosure, however, a computer readable signal medium may include a propagated data signal with computer readable program code embodied therein, for example, in baseband or as part of a carrier wave. Such a propagated data signal may take many forms, including, but not limited to, electro-magnetic, optical, or any suitable combination thereof. A computer readable signal medium may also be any computer readable medium that is not a computer readable storage medium and that can communicate, propagate, or transport a program for use by or in connection with an instruction execution system, apparatus, or device. Program code embodied on a computer readable medium may be transmitted using any appropriate medium, including but not limited to: electrical wires, optical cables, RF (radio frequency), etc., or any suitable combination of the foregoing.

In some embodiments, the clients, servers may communicate using any currently known or future developed network Protocol, such as HTTP (HyperText Transfer Protocol), and may interconnect with any form or medium of digital data communication (e.g., a communications network). Examples of communication networks include a local area network ("LAN"), a wide area network ("WAN"), the Internet (e.g., the Internet), and peer-to-peer networks (e.g., ad hoc peer-to-peer networks), as well as any currently known or future developed network.

The computer readable medium may be embodied in the electronic device; or may exist separately without being assembled into the electronic device. The computer readable medium carries one or more programs which, when executed by the electronic device, cause the electronic device to: acquiring a value flow information set, an operation flow information set, an article quality information set and an operation evaluation information set corresponding to each supply terminal to be selected, wherein the value flow information in the value flow information set corresponds to the supply terminal to be selected in each supply terminal to be selected, the operation flow information in the operation flow information set corresponds to the supply terminal to be selected in each supply terminal to be selected, the article quality information in the article quality information set corresponds to the supply terminal to be selected in each supply terminal to be selected, and the operation evaluation information in the operation evaluation information set corresponds to the supply terminal to be selected in each supply terminal to be selected; cleaning the value flow information set, the operation flow information set, the article quality information set and the operation evaluation information set respectively to generate a cleaning value flow information set, a cleaning operation flow information set, a cleaning article quality information set and a cleaning operation evaluation information set; for each to-be-selected supply end in the to-be-selected supply ends, generating supply end scoring information according to cleaning value circulation information, cleaning operation flow information, cleaning article quality information and cleaning operation evaluation information corresponding to the to-be-selected supply end, wherein the supply end scoring information comprises: value circulation scoring information, operation flow scoring information, article quality scoring information and operation evaluation scoring information; according to the generated grading information of each supply terminal, configuring the value circulation grading information, the operation process grading information, the article quality grading information and the operation evaluation grading information which are included in each supply terminal grading information and meet the configuration conditions to generate configuration supply terminal grading information and obtain a configuration supply terminal grading information group; and selecting at least one to-be-selected supply end from the to-be-selected supply ends as a target supply end group according to the configured supply end grading information group and the target supply end grading information group, and sending the grading information and the supply end identification corresponding to the target supply end group to a target terminal for displaying.

Computer program code for carrying out operations for embodiments of the present disclosure may be written in any combination of one or more programming languages, including an object oriented programming language such as Java, Smalltalk, C + +, and conventional procedural programming languages, such as the "C" programming language or similar programming languages. The program code may execute entirely on the user's computer, partly on the user's computer, as a stand-alone software package, partly on the user's computer and partly on a remote computer or entirely on the remote computer or server. In the case of a remote computer, the remote computer may be connected to the user's computer through any type of network, including a Local Area Network (LAN) or a Wide Area Network (WAN), or the connection may be made to an external computer (for example, through the Internet using an Internet service provider).

The flowchart and block diagrams in the figures illustrate the architecture, functionality, and operation of possible implementations of systems, methods and computer program products according to various embodiments of the present disclosure. In this regard, each block in the flowchart or block diagrams may represent a module, segment, or portion of code, which comprises one or more executable instructions for implementing the specified logical function(s). It should also be noted that, in some alternative implementations, the functions noted in the block may occur out of the order noted in the figures. For example, two blocks shown in succession may, in fact, be executed substantially concurrently, or the blocks may sometimes be executed in the reverse order, depending upon the functionality involved. It will also be noted that each block of the block diagrams and/or flowchart illustration, and combinations of blocks in the block diagrams and/or flowchart illustration, can be implemented by special purpose hardware-based systems which perform the specified functions or acts, or combinations of special purpose hardware and computer instructions.

The units described in some embodiments of the present disclosure may be implemented by software, and may also be implemented by hardware. The described units may also be provided in a processor, and may be described as: a processor includes an acquisition unit, a cleaning unit, a generation unit, a configuration unit, and a selection unit. The names of the units do not form a limitation on the units themselves in some cases, and for example, the acquiring unit may be further described as a unit that acquires a value flow information set, a work flow information set, an article quality information set, and a work evaluation information set corresponding to each supplier to be selected.

The functions described herein above may be performed, at least in part, by one or more hardware logic components. For example, without limitation, exemplary types of hardware logic components that may be used include: field Programmable Gate Arrays (FPGAs), Application Specific Integrated Circuits (ASICs), Application Specific Standard Products (ASSPs), systems on a chip (SOCs), Complex Programmable Logic Devices (CPLDs), and the like.

The foregoing description is only exemplary of the preferred embodiments of the disclosure and is illustrative of the principles of the technology employed. It will be appreciated by those skilled in the art that the scope of the invention in the embodiments of the present disclosure is not limited to the specific combination of the above-mentioned features, but also encompasses other embodiments in which any combination of the above-mentioned features or their equivalents is made without departing from the inventive concept as defined above. For example, the above features and (but not limited to) the features with similar functions disclosed in the embodiments of the present disclosure are mutually replaced to form the technical solution.

Claims

1. A method for provisioning-based information processing, comprising:

acquiring a value flow information set, an operation flow information set, an article quality information set and an operation evaluation information set corresponding to each supply terminal to be selected, wherein the value flow information in the value flow information set corresponds to the supply terminal to be selected in each supply terminal to be selected, the operation flow information in the operation flow information set corresponds to the supply terminal to be selected in each supply terminal to be selected, the article quality information in the article quality information set corresponds to the supply terminal to be selected in each supply terminal to be selected, and the operation evaluation information in the operation evaluation information set corresponds to the supply terminal to be selected in each supply terminal to be selected;

cleaning the value flow information set, the operation flow information set, the article quality information set and the operation evaluation information set respectively to generate a cleaning value flow information set, a cleaning operation flow information set, a cleaning article quality information set and a cleaning operation evaluation information set;

for each supply end to be selected in each supply end to be selected, generating supply end scoring information according to cleaning value circulation information, cleaning operation flow information, cleaning article quality information and cleaning operation evaluation information corresponding to the supply end to be selected, wherein the supply end scoring information comprises: value circulation scoring information, operation flow scoring information, article quality scoring information and operation evaluation scoring information;

according to the generated grading information of each supply terminal, configuring the value circulation grading information, the operation process grading information, the article quality grading information and the operation evaluation grading information which are included in each supply terminal grading information and meet configuration conditions to generate configuration supply terminal grading information and obtain a configuration supply terminal grading information group;

and selecting at least one to-be-selected supply end from the to-be-selected supply ends as a target supply end group according to the configuration supply end grading information group and the target supply end grading information group, and sending the grading information and the supply end identification corresponding to the target supply end group to a target terminal for displaying.

2. The method of claim 1, wherein cleansing value flow information comprises: value flow information, value input information, production output information and order quantity information; and

generating supplier end scoring information according to the cleaning value circulation information, the cleaning operation flow information, the cleaning article quality information and the cleaning operation evaluation information corresponding to the supplier end to be selected, wherein the method comprises the following steps:

generating value circulation grading information according to value circulation information, value input information, production output information and order quantity information which are included in the cleaning value circulation information;

generating operation flow grading information according to the cleaning operation flow information;

generating article quality grading information according to the quality information of the cleaning articles;

generating operation evaluation scoring information according to the cleaning operation evaluation information;

and combining the supplier identification corresponding to the supplier to be selected, the value flow score information, the operation flow score information, the article quality score information and the operation evaluation score information into supplier score information.

3. The method of claim 2, wherein the cleaning workflow information comprises: target object detection results and target object production process data; and

generating operation flow scoring information according to the cleaning operation flow information, wherein the operation flow scoring information comprises the following steps:

selecting a target article detection result score corresponding to the target article detection result from a preset target article detection result score table as a detection result score value;

selecting a target article production process data score corresponding to the target article production process data from a preset target article production process data score table as a production process data score value;

and combining the detection result scoring value and the production process data scoring value into operation process scoring information.

4. The method of claim 2, wherein the wash item quality information comprises: the method comprises the following steps that (1) qualification rate information, article high-quality rate information and equipment fault rate information are obtained, wherein the qualification rate information comprises a sampling inspection qualification rate and a one-time passing qualification rate; and

generating article quality scoring information according to the cleaning article quality information, wherein the generating comprises the following steps:

selecting a spot inspection qualification rate score corresponding to the spot inspection qualification rate from a preset spot inspection qualification rate scoring table as a spot inspection qualification rate scoring value;

selecting a one-time pass qualification rate score corresponding to the one-time pass qualification rate from a preset one-time pass qualification rate scoring table as a one-time pass qualification rate scoring value;

selecting an article quality rate score corresponding to the article quality rate included in the article quality rate information from a preset article quality rate score table as an article quality rate score value;

selecting equipment fault rate scores corresponding to the equipment fault rates included in the equipment fault rate information from a preset equipment fault rate score table as equipment fault rate score values;

and combining the spot inspection qualification rate scoring value, the one-time pass qualification rate scoring value, the article high-quality rate scoring value and the equipment failure rate scoring value into article quality scoring information.

5. The method of claim 2, wherein the cleaning job evaluation information comprises: the arrival timeliness rate and the user rating value; and

generating operation evaluation scoring information according to the cleaning operation evaluation information, wherein the operation evaluation scoring information comprises the following steps:

selecting a goods arrival time rate score corresponding to the goods arrival time rate from a preset goods arrival time rate score table as a goods arrival time rate score value;

and combining the arrival and time rate scoring value and the user scoring value into operation evaluation scoring information.

6. A supply-side based information processing apparatus comprising:

the system comprises an acquisition unit, a selection unit and a selection unit, wherein the acquisition unit is configured to acquire a value circulation information set, an operation flow information set, an article quality information set and an operation evaluation information set corresponding to each supply terminal to be selected, the value circulation information in the value circulation information set corresponds to the supply terminals to be selected in the supply terminals to be selected, the operation flow information in the operation flow information set corresponds to the supply terminals to be selected in the supply terminals to be selected, the article quality information in the article quality information set corresponds to the supply terminals to be selected in the supply terminals to be selected, and the operation evaluation information in the operation evaluation information set corresponds to the supply terminals to be selected in the supply terminals to be selected;

a cleaning unit configured to perform cleaning processing on the value flow information set, the work flow information set, the article quality information set, and the work evaluation information set, respectively, to generate a cleaning value flow information set, a cleaning work flow information set, a cleaning article quality information set, and a cleaning work evaluation information set;

a generating unit, configured to generate, for each to-be-selected supply end of the to-be-selected supply ends, supply end score information according to cleaning value circulation information, cleaning operation flow information, cleaning article quality information, and cleaning operation evaluation information corresponding to the to-be-selected supply end, where the supply end score information includes: value circulation scoring information, operation flow scoring information, article quality scoring information and operation evaluation scoring information;

the configuration unit is configured to configure and process value flow scoring information, operation flow scoring information, article quality scoring information and operation evaluation scoring information which are included in each supplier scoring information and meet configuration conditions in each supplier scoring information according to each generated supplier scoring information to generate configuration supplier scoring information and obtain a configuration supplier scoring information group;

and the selecting unit is configured to select at least one to-be-selected supply end from the to-be-selected supply ends as a target supply end group according to the configured supply end grading information group and the target supply end grading information group, and send the grading information and the supply end identification corresponding to the target supply end group to a target terminal for displaying.

7. An electronic device, comprising:

one or more processors;

a storage device having one or more programs stored thereon;

when executed by the one or more processors, cause the one or more processors to implement the method of any one of claims 1-5.

8. A computer-readable medium, on which a computer program is stored, wherein the program, when executed by a processor, implements the method of any one of claims 1-5.