CN112560952A - Supplier assessment method and device, electronic equipment and storage medium - Google Patents
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- 238000004364 calculation method Methods 0.000 claims abstract description 41
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- G06V10/70—Arrangements for image or video recognition or understanding using pattern recognition or machine learning
- G06V10/74—Image or video pattern matching; Proximity measures in feature spaces
- G06V10/75—Organisation of the matching processes, e.g. simultaneous or sequential comparisons of image or video features; Coarse-fine approaches, e.g. multi-scale approaches; using context analysis; Selection of dictionaries
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Abstract
The application provides a supplier assessment method, a supplier assessment device, electronic equipment and a storage medium, which belong to the technical field of computers, and the method comprises the following steps: acquiring to-be-processed data used for representing to-be-checked information of a supplier, and extracting target characteristics based on the to-be-processed data; then matching the target characteristics with the protocol characteristics in the given tree-type protocol characteristic library, and acquiring computing logic corresponding to the target characteristics after the matching is successful; and finally, calculating according to the calculation logic to obtain the assessment result of the supplier. By the aid of the assessment mode of the suppliers, target characteristics of the suppliers can be quickly matched with protocol characteristics, assessment results of the suppliers can be quickly obtained, assessment efficiency is improved, and a given tree-type protocol characteristic library can quickly and dynamically cope with various complex assessment scenes by means of adjusting the protocol characteristics.
Description
Technical Field
The application belongs to the technical field of computers, and particularly relates to a supplier assessment method, a supplier assessment device, electronic equipment and a storage medium.
Background
With the continuous development of company scale, the number of suppliers is continuously increased, and how to rapidly evaluate a large number of suppliers in the scene becomes a challenge. In addition, the scenario of qualifying different suppliers is more complex as companies have a need to purchase a variety of different parts. In the prior art, in the assessment process of a supplier, the supplier agreement needs to be matched firstly, and then the assessment result of the supplier is calculated according to the content of the agreement, so that the working efficiency is low when a large amount of assessment data is processed. And the content of the provider agreement is static, and complex assessment scenes cannot be rapidly and dynamically coped with.
In summary, the existing assessment method for the suppliers has the disadvantages of low working efficiency and incapability of rapidly and dynamically coping with complex assessment scenes.
Disclosure of Invention
In order to overcome the technical problems, the supplier assessment method, the supplier assessment device, the electronic equipment and the storage medium can improve the working efficiency and can rapidly and dynamically deal with various complex assessment scenes.
In order to achieve the purpose, the following technical scheme is adopted in the application:
in a first aspect, the present application provides a supplier assessment method, including: acquiring data to be processed for representing information to be checked of a supplier, and extracting target characteristics based on the data to be processed; matching the target feature with the protocol feature in the given tree-type protocol feature library, and acquiring a computing logic corresponding to the target feature after the matching is successful; and calculating according to the calculation logic to obtain the assessment result of the supplier.
Further, the method further comprises: acquiring a supplier agreement signed by a buyer and a supplier; extracting the protocol features according to protocol contents in the provider protocol; building the given tree protocol feature library based on the protocol features.
Further, the evaluation result of the supplier is obtained by calculation according to the calculation logic, and the evaluation result comprises the following steps: calculating based on the target characteristics and the calculation logic to obtain a calculation result; judging whether a characteristic adjusting instruction sent by a client side is received; and if so, correcting the calculation result based on the characteristic adjusting instruction to generate an assessment result of the supplier.
Further, the method further comprises: recording adjustment information corresponding to the characteristic adjustment instruction; adjusting the protocol characteristics according to the adjustment information to obtain adjusted protocol characteristics; updating the given tree protocol feature library based on the adjusted protocol features.
Further, extracting target features based on the data to be processed comprises: preprocessing the data to be processed to obtain intermediate data; and performing feature extraction on the intermediate data to obtain the target features.
Further, preprocessing the data to be processed to obtain intermediate data, including: performing content decomposition on the data to be processed according to a preset decomposition rule to obtain decomposed data; and carrying out coarse extraction on the decomposed data to obtain the intermediate data.
Further, the number of the protocol features is multiple, and the building of the given tree-type protocol feature library based on the protocol features includes: setting a priority for each of the protocol features; and constructing the given tree-type protocol feature library by all the protocol features according to the priority order.
In a second aspect, the present application provides a supplier assessment apparatus, comprising: the acquisition and extraction module is used for acquiring to-be-processed data for representing to-be-checked information of a supplier and extracting target characteristics based on the to-be-processed data; the characteristic matching module is used for matching the target characteristic with the protocol characteristic in the given tree-type protocol characteristic library and acquiring a computing logic corresponding to the target characteristic after the matching is successful; and the calculation module is used for calculating according to the calculation logic to obtain the assessment result of the supplier.
In a third aspect, the present application provides an electronic device, comprising: a processor and a storage device; the storage means has stored thereon a computer program which, when executed by the processor, performs the method of any of the first aspects.
In a fourth aspect, the present application provides a storage medium having stored thereon a computer program for performing the steps of the method of any of the first aspect described above when the computer program is executed by a processor.
According to the supplier assessment method, the supplier assessment device, the electronic equipment and the storage medium, to-be-processed data used for representing to-be-examined information of a supplier are obtained firstly, and target features are extracted based on the to-be-processed data; then matching the target characteristics with the protocol characteristics in the given tree-type protocol characteristic library, and acquiring computing logic corresponding to the target characteristics after the matching is successful; and finally, calculating according to the calculation logic to obtain the assessment result of the supplier. By the aid of the assessment mode of the suppliers, target characteristics of the suppliers can be quickly matched with protocol characteristics, assessment results of the suppliers can be quickly obtained, assessment efficiency is improved, and a given tree-type protocol characteristic library can quickly and dynamically cope with various complex assessment scenes by means of adjusting the protocol characteristics.
It is to be understood that both the foregoing general description and the following detailed description are exemplary and explanatory only and are not restrictive of the application.
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In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, it is obvious that the drawings in the following description are only some embodiments of the present application, and for those skilled in the art, other drawings can be obtained according to the drawings without creative efforts.
FIG. 1 is a flow diagram illustrating a method of vendor qualification in accordance with an exemplary embodiment;
FIG. 2 is a diagram illustrating a tree-type protocol feature in accordance with an illustrative embodiment;
FIG. 3 is a flow diagram illustrating another method of vendor qualification in accordance with an exemplary embodiment;
FIG. 4 is a block diagram illustrating a configuration of a supplier qualification apparatus in accordance with an exemplary embodiment.
Detailed Description
In order to make the objects, technical solutions and advantages of the present application more apparent, the technical solutions of the present application will be described in detail below. It is to be understood that the embodiments described are only a few embodiments of the present application and not all embodiments. All other embodiments, which can be derived by a person skilled in the art from the examples given herein without making any creative effort, shall fall within the protection scope of the present application.
In consideration of the defects that the existing supplier assessment method is low in working efficiency and cannot rapidly and dynamically deal with complex assessment scenes, the application provides the supplier assessment method, the supplier assessment device, the electronic equipment and the storage medium, assessment results of suppliers can be rapidly obtained, assessment efficiency is improved, and various complex assessment scenes can be rapidly and dynamically dealt with. For ease of understanding, the present application is described in detail below.
Referring first to a flow chart of a supplier assessment method shown in fig. 1, the method mainly includes the following steps S102 to S106:
step S102, acquiring to-be-processed data used for representing to-be-checked information of a supplier, and extracting target characteristics based on the to-be-processed data. The data to be processed is short for the examination data to be processed, and may include multiple types of data, where the types include but are not limited to: supplier code, material name, defect type and unqualified reason, the embodiment can properly select different types of data according to actual needs. In addition, the data to be processed may appear in various ways, and may be notes, tables or text. The embodiment can extract the target features from the data to be processed, and the target features can be represented as key information required by assessment.
And step S104, matching the target characteristics with the protocol characteristics in the given tree-type protocol characteristic library, and acquiring the computing logic corresponding to the target characteristics after the matching is successful. Since the protocol features in the tree protocol feature library can be displayed in a tree form, the protocol features can also be called tree protocol features. The tree-type protocol feature library may be referred to as a protocol feature extraction database. Schematic diagram of tree protocol features as shown in fig. 2, protocol features of different priorities may be included, and the protocol features of higher priorities include, but are not limited to: the defect type A, the defect type B, the material attribute A, the material attribute B, the keyword A and the keyword B, wherein the defect type A comprises the following components: proportion A, scope A, the lower agreement characteristic of three priority of goods value A, defect type B includes: the material attribute A comprises a quota A and a protocol feature with a lower priority, the material attribute B comprises a quota B and a protocol feature with a lower priority, the keyword B comprises a defect type C and a protocol feature with a lower priority, and the defect type C comprises three protocol features with a lower priority, namely a proportion B, a range B and a cargo value B. The present embodiment does not specifically limit the specific content, value, and structure of the protocol features. For example, the "ratio" of the protocol characteristics under defect type a may be 0.1, and the "ratio" of the protocol characteristics under defect type B may be 0.2.
And S106, calculating according to the calculation logic to obtain the assessment result of the supplier. Computational logic is an acronym for feature computational logic. The calculation logic corresponding to the target feature substantially refers to the calculation logic corresponding to the assessment data.
The assessment method for the suppliers, provided by the embodiment, comprises the steps of firstly acquiring data to be processed for representing information to be assessed of the suppliers, and extracting target characteristics based on the data to be processed; then matching the target characteristics with the protocol characteristics in the given tree-type protocol characteristic library, and acquiring computing logic corresponding to the target characteristics after the matching is successful; and finally, calculating according to the calculation logic to obtain the assessment result of the supplier. By the method, the target characteristics of the supplier can be quickly matched with the protocol characteristics, so that the assessment result of the supplier can be quickly obtained, the assessment efficiency is improved, and the given tree-type protocol characteristic library can quickly and dynamically cope with various complex assessment scenes by adjusting the protocol characteristics.
A given tree protocol feature library may be constructed prior to its application. In order to further dynamically cope with complex assessment scenarios, the present embodiment may further expand the process of constructing a given tree protocol feature library, where the following steps S201 to S203 are performed:
step S201, a supplier agreement between the purchasing party and the supplier is obtained.
Step S202, extracting protocol features according to the protocol content in the provider protocol.
Step S203, constructing a given tree-type protocol feature library based on the protocol features.
There are computational logics and standards examined in the above-mentioned supplier agreements. The provider agreement in this embodiment may be static or dynamic, and is determined according to the actual situation. After feature extraction and feature treeing, the protocol features extracted from the vendor protocol are stored in a tree structure.
In one embodiment, the step S106, which is performed according to the calculation logic to obtain the assessment result of the supplier, includes the following steps S301 to S304:
step S301, calculation is carried out based on the target characteristics and the calculation logic, and calculation results are obtained.
Step S302, determining whether a feature adjustment instruction sent by the client is received.
And step S303, if yes, correcting the calculation result based on the characteristic adjusting instruction to generate an assessment result of the supplier.
And step S304, if not, determining the calculation result as the assessment result of the supplier.
The steps S301 to S304 are manual intervention processes, and this embodiment does not completely depend on the calculation result, and the manual intervention can further deal with various dynamic adjustment scenarios, so as to ensure the accuracy of the assessment result.
In one embodiment, after step S304, the method further includes steps S401 to S403 of:
in step S401, adjustment information corresponding to the feature adjustment instruction is recorded.
And step S402, adjusting the protocol characteristics according to the adjustment information to obtain the adjusted protocol characteristics.
In step S403, the given tree-type protocol feature library is updated based on the adjusted protocol features.
The tree-type protocol feature library can be regarded as a model, the model only needs to be corrected under the condition that different protocol features need to be corrected or result feedback is added, except for the two conditions, the tree-type protocol feature library does not need to be corrected under the general condition, and the assessment result of the supplier can be quickly obtained based on the tree-type protocol feature library. If there are different agreement characteristics to modify, it means that the supplier agreement is dynamic.
In the process of assessing all suppliers, the protocol characteristics can be corrected through result feedback, the tree-type protocol characteristic library is continuously perfected, the target characteristics can be rapidly matched with the protocol characteristics, and assessment results of the suppliers are calculated.
In one embodiment, the extracting of the target feature based on the data to be processed in step S102 includes steps S501 to S502:
step S501, preprocessing data to be processed to obtain intermediate data;
and step S502, performing feature extraction on the intermediate data to obtain target features.
Step S501, preprocessing data to be processed to obtain intermediate data, includes steps S601 to S602:
s601, decomposing the content of the data to be processed according to a preset decomposition rule to obtain decomposed data;
step S602, performing coarse extraction on the decomposed data to obtain intermediate data.
The operation of preprocessing can be achieved by content decomposition and coarse extraction. The intermediate data includes a target feature.
In one embodiment, the number of the protocol features is multiple, and the step S203 of building a given tree-type protocol feature library based on the protocol features may include the following steps S701 to S702:
step S701, setting a priority for each protocol feature;
step S702, constructing a given tree-type protocol feature library by all the protocol features according to the priority order.
Because different assessment items may relate to different protocol features and the different protocol features may have different influences on the assessment items, in order to distinguish the influences of the protocol features on the assessment items, each protocol feature may be set with a priority, and the higher the priority is, the greater the influence on the corresponding assessment item is. The number of levels of priority is not particularly limited in this embodiment.
The flow chart of another supplier assessment method shown in this embodiment, as shown in fig. 3, briefly summarizes the following steps:
step S11 (examination data to be processed): and obtaining the examination data to be processed. The assessment data contains key information required by assessment. It should be noted that some assessment data such as supplier codes and material codes can exist independently, so that rules can be formulated for direct judgment. However, some assessment data may have a text description content related to the 'unqualified reason', so that some key information influencing the assessment result may exist in the content.
Step S12 (preprocessing): overall, the examination data to be processed is preprocessed. Specifically, the assessment data is decomposed into a plurality of contents (namely, the decomposed data) according to rules, such as supplier codes, material names, defect types, quantity, unqualified reasons and the like, and then the decomposed data is subjected to feature rough extraction. The purpose of the pre-processing is to select out intermediate data that may be a target feature.
Step S13 (assessment data feature extraction): extracting the target characteristics, and specifically analyzing as follows: and carrying out keyword matching on the roughly extracted intermediate data to obtain target characteristics.
Step S14 (tree protocol feature): matching the identified target features in the assessment data with the tree type protocol features, and sequentially matching downwards according to the priority of the features until the lowest layer of the tree, thereby completing the matching work of all the extracted target features. The embodiment can accurately position the feature calculation logic corresponding to the assessment data according to the identified target features. For example, a target feature matches a tree protocol feature, and the assessment item a and the defect type a in fig. 2 should be followed. The computational logic corresponding to the assessment data is then: the goods value is the proportion A multiplied by the unit price multiplied by the quantity, if the goods value is in the range A, the assessment result is equal to the goods value; if the cargo value is smaller than the range A, the assessment result is the minimum value of the range; if the cargo value is greater than the range A, the assessment result takes the maximum value of the range.
Step S15 (data processing): and calculating the assessment result according to the characteristic calculation logic determined in the matching process. In the process, the protocol characteristics can be adjusted by correcting or adjusting the errors in a manual intervention mode, and the adjustment information is fed back to the tree-type protocol characteristic library.
Step S16 (assessment results): and outputting the assessment result obtained in the step S15.
Step S17 (vendor agreement): and manually maintaining a supplier agreement, wherein the supplier agreement comprises the content, the rules and the calculation logic which participate in the evaluation result calculation.
Step S18 (protocol feature extraction): and extracting protocol features and calculation logic according to contents in the provider protocol, decomposing the protocol features and the calculation logic, and reorganizing the protocol features and the calculation logic into a tree-shaped feature structure. And the process of extracting attributes such as defect types, proportions and ranges is protocol feature extraction. Reorganize into tree-like features such as: the evaluation data of this supplier normally uses the calculation logic: defect type a, 500 yuan; however, some materials of this supplier are printed matters, and whether the printed matters can only judge the keywords of "paper" and "printing" in the material name is not. The modified computational logic thus becomes: printed matter, defect type a, 600 yuan.
Step S19 (result feedback): after the data processing in step S15, if the adjustment is performed manually, result feedback is performed, and specifically, the protocol features may be corrected by the adjustment information, so as to improve the tree-type protocol features.
In this embodiment, the execution sequence between the step S11 and the step S19 is not specifically limited, and the supplier assessment method can not only obtain the assessment result quickly, but also improve the tree protocol characteristics, and can dynamically cope with various complex assessment scenarios.
Corresponding to the above-mentioned assessment method for suppliers, the present application further provides a supplier assessment device, referring to the structural block diagram of a supplier assessment device shown in fig. 4, which mainly includes the following modules:
an obtaining and extracting module 402, configured to obtain to-be-processed data representing to-be-checked information of a provider, and extract a target feature based on the to-be-processed data;
a feature matching module 404, configured to match the target feature with a protocol feature in a given tree-type protocol feature library, and obtain a computation logic corresponding to the target feature after the matching is successful;
and the calculation module 406 is used for calculating according to the calculation logic to obtain the assessment result of the supplier.
By the device, the target characteristics of the supplier can be quickly matched with the protocol characteristics, so that the assessment result of the supplier can be quickly obtained, the assessment efficiency is improved, and the given tree-type protocol characteristic library can quickly and dynamically cope with various complex assessment scenes by adjusting the protocol characteristics.
In an embodiment, the apparatus further includes an obtaining module, an extracting module, and a constructing module, where:
the acquisition module is used for acquiring a supplier agreement signed by a buyer and a supplier;
the extraction module is used for extracting protocol features according to protocol contents in the provider protocol;
and the construction module is used for constructing a given tree-type protocol feature library based on the protocol features.
In a specific embodiment, the calculation module is further configured to: calculating based on the target characteristics and the calculation logic to obtain a calculation result; judging whether a characteristic adjusting instruction sent by a client side is received; and if so, correcting the calculation result based on the characteristic adjusting instruction to generate an assessment result of the supplier.
In one embodiment, the above apparatus further comprises: record module, adjustment module and update module, wherein:
the recording module is used for recording the adjustment information corresponding to the characteristic adjustment instruction;
the adjusting module is used for adjusting the protocol characteristics according to the adjusting information to obtain the adjusted protocol characteristics;
and the updating module is used for updating the given tree-type protocol feature library based on the adjusted protocol features.
In a specific embodiment, the acquisition extraction module is further configured to: preprocessing data to be processed to obtain intermediate data; and performing feature extraction on the intermediate data to obtain target features.
In a specific embodiment, the acquisition extraction module is further configured to: performing content decomposition on data to be processed according to a preset decomposition rule to obtain decomposed data; and carrying out coarse extraction on the decomposed data to obtain intermediate data.
In a specific embodiment, the number of the protocol features is plural, and the building module is further configured to: setting a priority for each protocol feature; and constructing a given tree-type protocol feature library by all the protocol features according to the priority order.
Further, the present embodiment also provides an electronic device, including: a processor and a storage device; wherein the storage device has stored thereon a computer program which, when executed by the processor, performs the aforementioned vendor qualification method.
Further, the present embodiment also provides a storage medium, in which a computer program is stored, and the computer program is executed by the processor to perform the above-mentioned supplier evaluation method.
It is understood that the same or similar parts in the above embodiments may be mutually referred to, and the same or similar parts in other embodiments may be referred to for the content which is not described in detail in some embodiments.
It should be noted that, in the description of the present application, the terms "first", "second", etc. are used for descriptive purposes only and are not to be construed as indicating or implying relative importance. In addition, in the description of the present application, the meaning of "plurality" means at least two unless otherwise specified.
It will be understood that when an element is referred to as being "secured to" or "disposed on" another element, it can be directly on the other element or intervening elements may also be present; when an element is referred to as being "connected" to another element, it can be directly connected to the other element or intervening elements may also be present, and further, as used herein, connected may include wirelessly connected; the term "and/or" is used to include any and all combinations of one or more of the associated listed items.
Any process or method descriptions in flow charts or otherwise described herein may be understood as: represents modules, segments or portions of code which include one or more executable instructions for implementing specific logical functions or steps of a process, and the scope of the preferred embodiments of the present application includes other implementations in which functions may be executed out of order from that shown or discussed, including substantially concurrently or in reverse order, depending on the functionality involved, as would be understood by those reasonably skilled in the art of the embodiments of the present application.
It should be understood that portions of the present application may be implemented in hardware, software, firmware, or a combination thereof. In the above embodiments, the various steps or methods may be implemented in software or firmware stored in memory and executed by a suitable instruction execution system. For example, if implemented in hardware, as in another embodiment, any one or combination of the following techniques, which are known in the art, may be used: a discrete logic circuit having a logic gate circuit for implementing a logic function on a data signal, an application specific integrated circuit having an appropriate combinational logic gate circuit, a Programmable Gate Array (PGA), a Field Programmable Gate Array (FPGA), or the like.
It will be understood by those skilled in the art that all or part of the steps carried by the method for implementing the above embodiments may be implemented by hardware related to instructions of a program, which may be stored in a computer readable storage medium, and when the program is executed, the program includes one or a combination of the steps of the method embodiments.
In addition, functional units in the embodiments of the present application may be integrated into one processing module, or each unit may exist alone physically, or two or more units are integrated into one module. The integrated module can be realized in a hardware mode, and can also be realized in a software functional module mode. The integrated module, if implemented in the form of a software functional module and sold or used as a stand-alone product, may also be stored in a computer readable storage medium.
The storage medium mentioned above may be a read-only memory, a magnetic or optical disk, etc.
In the description herein, reference to the description of the term "one embodiment," "some embodiments," "an example," "a specific example," or "some examples," etc., means that a particular feature, structure, material, or characteristic described in connection with the embodiment or example is included in at least one embodiment or example of the application. In this specification, the schematic representations of the terms used above do not necessarily refer to the same embodiment or example. Furthermore, the particular features, structures, materials, or characteristics described may be combined in any suitable manner in any one or more embodiments or examples.
Although embodiments of the present application have been shown and described above, it is understood that the above embodiments are exemplary and should not be construed as limiting the present application, and that variations, modifications, substitutions and alterations may be made to the above embodiments by those of ordinary skill in the art within the scope of the present application.
Claims (10)
1. A supplier assessment method, comprising:
acquiring data to be processed for representing information to be checked of a supplier, and extracting target characteristics based on the data to be processed;
matching the target feature with the protocol feature in the given tree-type protocol feature library, and acquiring a computing logic corresponding to the target feature after the matching is successful;
and calculating according to the calculation logic to obtain the assessment result of the supplier.
2. The method of claim 1, further comprising:
acquiring a supplier agreement signed by a buyer and a supplier;
extracting the protocol features according to protocol contents in the provider protocol;
building the given tree protocol feature library based on the protocol features.
3. The method of claim 2, wherein calculating the assessment results of the suppliers according to the calculation logic comprises:
calculating based on the target characteristics and the calculation logic to obtain a calculation result;
judging whether a characteristic adjusting instruction sent by a client side is received;
and if so, correcting the calculation result based on the characteristic adjusting instruction to generate an assessment result of the supplier.
4. The method of claim 3, further comprising:
recording adjustment information corresponding to the characteristic adjustment instruction;
adjusting the protocol characteristics according to the adjustment information to obtain adjusted protocol characteristics;
updating the given tree protocol feature library based on the adjusted protocol features.
5. The method of claim 1, wherein extracting target features based on the data to be processed comprises:
preprocessing the data to be processed to obtain intermediate data;
and performing feature extraction on the intermediate data to obtain the target features.
6. The method of claim 5, wherein preprocessing the data to be processed to obtain intermediate data comprises:
performing content decomposition on the data to be processed according to a preset decomposition rule to obtain decomposed data;
and carrying out coarse extraction on the decomposed data to obtain the intermediate data.
7. The method of claim 2, wherein the number of protocol features is plural, and wherein constructing the given tree-type protocol feature library based on the protocol features comprises:
setting a priority for each of the protocol features;
and constructing the given tree-type protocol feature library by all the protocol features according to the priority order.
8. A supplier assessment apparatus, comprising:
the acquisition and extraction module is used for acquiring to-be-processed data for representing to-be-checked information of a supplier and extracting target characteristics based on the to-be-processed data;
the characteristic matching module is used for matching the target characteristic with the protocol characteristic in the given tree-type protocol characteristic library and acquiring a computing logic corresponding to the target characteristic after the matching is successful;
and the calculation module is used for calculating according to the calculation logic to obtain the assessment result of the supplier.
9. An electronic device, comprising: a processor and a storage device;
the storage device has stored thereon a computer program which, when executed by the processor, performs the method of any one of claims 1 to 7.
10. A storage medium having a computer program stored thereon, wherein the computer program is adapted to perform the steps of the method according to any of the claims 1 to 7 when executed by a processor.
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| CN116661975A (en) * | 2023-07-21 | 2023-08-29 | 天津卓朗昆仑云软件技术有限公司 | Process running control method and device, electronic equipment and storage medium |
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| CN110070244A (en) * | 2018-01-22 | 2019-07-30 | 北京京东尚科信息技术有限公司 | Supplier evaluation method, system, electronic equipment and computer-readable medium |
| CN110929969A (en) * | 2018-09-20 | 2020-03-27 | 北京国双科技有限公司 | Supplier evaluation method and device |
| CN109767089A (en) * | 2018-12-27 | 2019-05-17 | 北京世纪互联宽带数据中心有限公司 | Performance statistical method and its device, electronic equipment, computer-readable medium |
| CN111209731A (en) * | 2019-12-27 | 2020-05-29 | 广东德诚科教有限公司 | Assessment quantitative value obtaining method, device and equipment and readable storage medium |
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