CN112561293A - System and electronic equipment for evaluating suppliers by buyers - Google Patents
System and electronic equipment for evaluating suppliers by buyers Download PDFInfo
- Publication number
- CN112561293A CN112561293A CN202011446641.1A CN202011446641A CN112561293A CN 112561293 A CN112561293 A CN 112561293A CN 202011446641 A CN202011446641 A CN 202011446641A CN 112561293 A CN112561293 A CN 112561293A
- Authority
- CN
- China
- Prior art keywords
- evaluation
- data
- supplier
- evaluated
- buyer
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
- 238000011156 evaluation Methods 0.000 claims abstract description 460
- 238000004458 analytical method Methods 0.000 claims abstract description 16
- 238000013210 evaluation model Methods 0.000 claims abstract description 9
- 238000004364 calculation method Methods 0.000 claims abstract description 8
- 238000005516 engineering process Methods 0.000 claims description 7
- 238000007726 management method Methods 0.000 claims description 6
- 230000008859 change Effects 0.000 claims description 5
- 238000004519 manufacturing process Methods 0.000 claims description 5
- 230000008901 benefit Effects 0.000 claims description 4
- 238000011161 development Methods 0.000 claims description 4
- 238000009826 distribution Methods 0.000 claims description 4
- 230000000694 effects Effects 0.000 claims description 4
- 238000007689 inspection Methods 0.000 claims description 4
- 230000008520 organization Effects 0.000 claims description 4
- 238000000034 method Methods 0.000 abstract description 27
- 238000010586 diagram Methods 0.000 description 26
- 238000003860 storage Methods 0.000 description 14
- 238000004590 computer program Methods 0.000 description 13
- 230000006870 function Effects 0.000 description 10
- 238000012545 processing Methods 0.000 description 10
- 238000004891 communication Methods 0.000 description 9
- 230000008569 process Effects 0.000 description 5
- 230000018109 developmental process Effects 0.000 description 3
- 230000003287 optical effect Effects 0.000 description 3
- 238000010295 mobile communication Methods 0.000 description 2
- 230000004048 modification Effects 0.000 description 2
- 238000012986 modification Methods 0.000 description 2
- 230000032683 aging Effects 0.000 description 1
- 230000005540 biological transmission Effects 0.000 description 1
- 230000001413 cellular effect Effects 0.000 description 1
- 238000013461 design Methods 0.000 description 1
- 230000006872 improvement Effects 0.000 description 1
- 230000003993 interaction Effects 0.000 description 1
- 230000005055 memory storage Effects 0.000 description 1
- 230000000750 progressive effect Effects 0.000 description 1
- 238000012216 screening Methods 0.000 description 1
- 230000003068 static effect Effects 0.000 description 1
- 230000001960 triggered effect Effects 0.000 description 1
- 238000012795 verification Methods 0.000 description 1
- 230000000007 visual effect Effects 0.000 description 1
Images
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
- G06Q10/063—Operations research, analysis or management
- G06Q10/0639—Performance analysis of employees; Performance analysis of enterprise or organisation operations
- G06Q10/06393—Score-carding, benchmarking or key performance indicator [KPI] analysis
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/90—Details of database functions independent of the retrieved data types
- G06F16/901—Indexing; Data structures therefor; Storage structures
- G06F16/9027—Trees
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F40/00—Handling natural language data
- G06F40/10—Text processing
- G06F40/166—Editing, e.g. inserting or deleting
- G06F40/177—Editing, e.g. inserting or deleting of tables; using ruled lines
- G06F40/18—Editing, e.g. inserting or deleting of tables; using ruled lines of spreadsheets
Abstract
The application provides a system and electronic equipment for a buyer to evaluate a provider, wherein the system for the buyer to evaluate the provider comprises: the request analysis unit receives the evaluation request through the configured data interface, and analyzes the received evaluation request to obtain the identification of the evaluated supplier; the evaluation index acquisition unit is used for acquiring evaluation indexes of all evaluation dimensions stored in a tree structure from a background database according to the identification of the evaluated supplier; a form generation unit which generates an evaluation form according to the evaluation dimension of the evaluated supplier and the evaluation index of each evaluation dimension; the form analysis unit is used for analyzing the evaluation form to acquire the identification of the departments participating in evaluation and evaluation scores given by different departments; and an evaluation value calculation unit which inputs the identification of the evaluated department and evaluation scores given by different departments into an evaluation model and calculates the evaluation value of the evaluated supplier. The method and the device effectively screen out qualified suppliers.
Description
Technical Field
The present application relates to the field of internet technologies, and in particular, to a system, an electronic device, and a storage medium for a buyer to evaluate a provider.
Background
With the increasingly fine division of the society, the cooperation among enterprises is more frequent, and from the perspective of supply and marketing, the enterprises form a complex supply and marketing relationship, namely, the enterprise providing products/services is used as a supplier, and the enterprise with product/service requirements is used as a buyer. Therefore, how to assist the buyer to select the supplier more objectively and reasonably becomes a problem to be solved urgently.
Therefore, in the prior art, suppliers are usually selected by means of bidding and the like, but the method needs a lot of manpower participation and is greatly influenced by artificial subjective factors, so that objective and reasonable screening principles cannot be provided for the suppliers, and the screened suppliers are not the suppliers capable of meeting the requirements of the suppliers.
Therefore, how to provide a set of scheme for evaluating suppliers to avoid the unreasonableness caused by human participation, so that buyers can evaluate suppliers more objectively and reasonably, qualified suppliers can be screened out effectively, and unqualified suppliers can be eliminated, which is a technical problem to be solved urgently.
Disclosure of Invention
In view of the above, embodiments of the present disclosure provide a system, an electronic device and a storage medium for a buyer to evaluate a supplier, so as to overcome the above-mentioned drawbacks.
1. A system for a buyer to rate a supplier, the system comprising:
the request analysis unit is used for receiving an evaluation request through a configured data interface, and analyzing the received evaluation request to obtain the identification of an evaluated supplier;
the evaluation index acquisition unit is used for acquiring evaluation indexes of all evaluation dimensions stored in a tree structure from a background database according to the identification of the evaluated supplier;
the form generation unit is used for generating an evaluation form according to the evaluation dimensions of the evaluated suppliers and the evaluation indexes of the evaluation dimensions, wherein the evaluation form is provided with a first evaluation configuration item and a second evaluation configuration item, the first evaluation configuration item is used for defining the identification of departments participating in evaluation, and the second evaluation configuration item is used for defining the evaluation scores given by different departments according to the evaluation dimensions and the evaluation indexes;
the form analysis unit is used for analyzing the evaluation form to acquire the identification of the department participating in evaluation and the evaluation scores given by different departments;
and an evaluation value calculation unit for inputting the identification of the section of the evaluation and the evaluation scores given by different sections into an evaluation model and calculating the evaluation value of the evaluated supplier.
2. The evaluation system according to claim 1, wherein the evaluation index forms a tree structure for child nodes in the tree structure with the evaluation dimension as a parent node.
3. The evaluation system of claim 1, wherein the evaluation dimension comprises at least one of: supplier operation condition data, supplier quality level data, cooperation tightness data of the supplier and the buyer, and service cooperation data of the supplier to the buyer.
4. The evaluation system of claim 3, wherein the evaluation index corresponding to the supplier operation condition data comprises at least one of: business validity data, business scale data, professional degree data and financial condition data;
the supplier quality level data includes at least one of: quality authentication data, quality condition data, supply channel data;
the degree of cooperative closeness between the customer and the buyer includes at least one of the following: supply period data, purchasing cost data, transaction account period data, execution condition data and cooperation intention data;
the service matching degree data of the supplier to the buyer comprises at least one of the following data: pre-sale service matching degree data, logistics service matching degree data and post-sale service matching degree data.
5. The evaluation system of claim 4, wherein the business legitimacy data comprises at least one of: business license data, proxy certificates, and/or proxy protocols; the business scale data includes at least one of: establishing time data, registered fund data, organization and architecture data, personnel scale and distribution data and customer group data; the professional degree data comprises at least one of the following: technology advance, market share data, brand effect data; the financial condition data comprises financial statement data and key financial index data;
the quality authentication data includes at least one of: IOS9000 data, environment management data, security certification data, product/service reliability data, intellectual property certificate data;
the quality status data comprises at least one of: product/service inspection data, satisfaction data during production, product/service supplier requirement matching data;
the supply channel data includes at least one of: source data for products/services offered by the supplier;
the supply cycle data includes at least one of: delivery time data for a product/service, capability data to meet a change in demand for a supplier, said procurement cost data comprising at least one of: price advantage statistics for products/services, the trade ledger data including at least one of: the payment proportion data and the account period duration data, wherein the execution condition data comprises at least one of the following data: execution efficiency data and fulfillment compliance data, the willingness-to-collaborate data including at least one of: resource degree input data and development cooperation statistical data;
the pre-sale service matching degree data comprises at least one of the following data: technical support or service support force data, wherein the logistics service matching degree data comprises at least one of the following data: logistics guarantee data of products/services, and after-sale service matching degree data comprise problem solving timeliness data and satisfaction degree data.
6. The evaluation system according to any one of claims 1 to 5, further comprising: and the form configuration module is used for dynamically adjusting the evaluation dimensions of the evaluated suppliers and the evaluation indexes of the evaluation dimensions, wherein the dynamic adjustment comprises at least one of editing, deleting, adding and modifying.
7. A system for establishing a buyer's rating of a supplier, the system comprising:
the data interface is configured to receive an evaluation request to trigger the request parsing unit to parse the received evaluation request to obtain an identifier of an evaluated provider;
the background database is used for storing the evaluation indexes of the evaluation dimensions in a tree structure, so that the evaluation index acquisition unit acquires the evaluation indexes of the evaluation dimensions stored in the tree structure from the background database according to the identification of the evaluated supplier;
and the evaluation form model is used for defining rules for generating an evaluation form according to the evaluation dimension of the evaluated supplier and the evaluation indexes of the evaluation dimensions, so that the form generating unit can generate the evaluation form according to the evaluation dimension of the evaluated supplier and the evaluation indexes of the evaluation dimensions, the evaluation form is provided with a first evaluation configuration item and a second evaluation configuration item, the first evaluation configuration item is used for defining the identification of the department participating in evaluation, and the second evaluation configuration item is used for defining the evaluation scores given by different departments according to the evaluation dimension and the evaluation indexes.
8. The evaluation system according to claim 7, wherein the evaluation indexes form a tree structure for child nodes with the evaluation dimension as a parent node in the tree structure.
9. The evaluation system of claim 7, wherein the evaluation dimension comprises at least one of: supplier operation condition data, supplier quality level data, cooperation tightness data of the supplier and the buyer, and service cooperation data of the supplier to the buyer.
10. The evaluation system of claim 9, wherein the evaluation index corresponding to the supplier operation condition data comprises at least one of: business validity data, business scale data, professional degree data and financial condition data;
the supplier quality level data includes at least one of: quality authentication data, quality condition data, supply channel data;
the degree of cooperative closeness between the customer and the buyer includes at least one of the following: supply period data, purchasing cost data, transaction account period data, execution condition data and cooperation intention data;
the service matching degree data of the supplier to the buyer comprises at least one of the following data: pre-sale service matching degree data, logistics service matching degree data and post-sale service matching degree data.
11. The evaluation system of claim 10, wherein the business legitimacy data comprises at least one of: business license data, proxy certificates, and/or proxy protocols; the business scale data includes at least one of: establishing time data, registered fund data, organization and architecture data, personnel scale and distribution data and customer group data; the professional degree data comprises at least one of the following: technology advance, market share data, brand effect data; the financial condition data comprises financial statement data and key financial index data;
the quality authentication data includes at least one of: IOS9000 data, environment management data, security certification data, product/service reliability data, intellectual property certificate data;
the quality status data comprises at least one of: product/service inspection data, satisfaction data during production, product/service supplier requirement matching data;
the supply channel data includes at least one of: source data for products/services offered by the supplier;
the supply cycle data includes at least one of: delivery time data for a product/service, capability data to meet a change in demand for a supplier, said procurement cost data comprising at least one of: price advantage statistics for products/services, the trade ledger data including at least one of: the payment proportion data and the account period duration data, wherein the execution condition data comprises at least one of the following data: execution efficiency data and fulfillment compliance data, the willingness-to-collaborate data including at least one of: resource degree input data and development cooperation statistical data;
the pre-sale service matching degree data comprises at least one of the following data: technical support or service support force data, wherein the logistics service matching degree data comprises at least one of the following data: logistics guarantee data of products/services, and after-sale service matching degree data comprise problem solving timeliness data and satisfaction degree data.
12. An electronic device, comprising a memory on which is stored a computer software program implementing a request analysis unit, an evaluation index acquisition unit, a form generation unit, a form analysis unit, and a processor that runs the computer program such that:
the request analysis unit receives an evaluation request through a configured data interface, and analyzes the received evaluation request to obtain the identification of an evaluated supplier;
the evaluation index acquisition unit acquires evaluation indexes of each evaluation dimension stored in a tree structure from a background database according to the identification of the evaluated supplier;
the form generation unit generates an evaluation form according to the evaluation dimensions of the evaluated suppliers and the evaluation indexes of the evaluation dimensions, wherein the evaluation form is provided with a first evaluation configuration item and a second evaluation configuration item, the first evaluation configuration item is used for defining the identification of departments participating in evaluation, and the second evaluation configuration item is used for defining the evaluation scores given by different departments according to the evaluation dimensions and the evaluation indexes;
the form analysis unit analyzes the evaluation form to obtain the identification of the departments participating in evaluation and evaluation scores given by different departments;
and the evaluation value calculation unit is used for inputting the identification of the evaluated department and the evaluation scores given by different departments into an evaluation model and calculating the evaluation value of the evaluated supplier.
13. An electronic device comprising a memory having stored thereon a computer software program implementing a data interface, a background database, an evaluation form model, and a processor running the computer program such that:
the data interface is configured to receive an evaluation request to trigger a request parsing unit to parse the received evaluation request to obtain an identification of an evaluated provider therefrom;
the background database stores the evaluation indexes of all the evaluation dimensions in a tree structure, so that an evaluation index acquisition unit acquires the evaluation indexes of all the evaluation dimensions stored in the tree structure from the background database according to the identification of the evaluated supplier;
the evaluation form model defines rules for generating an evaluation form according to the evaluation dimensions of the evaluated supplier and the evaluation indexes of the evaluation dimensions, so that a form generating unit can generate the evaluation form according to the evaluation dimensions of the evaluated supplier and the evaluation indexes of the evaluation dimensions, the evaluation form is provided with a first evaluation configuration item and a second evaluation configuration item, the first evaluation configuration item is used for defining the identification of departments participating in evaluation, and the second evaluation configuration item is used for defining evaluation scores given by different departments according to the evaluation dimensions and the evaluation indexes.
According to the technical scheme, the evaluation request is received through the configured data interface, and the received evaluation request is analyzed to obtain the identifier of the evaluated supplier; acquiring evaluation indexes of each evaluation dimension stored in a tree structure from a background database according to the identification of the evaluated supplier; generating an evaluation form according to the evaluation dimensions of the evaluated suppliers and the evaluation indexes of the evaluation dimensions, wherein the evaluation form is provided with a first evaluation configuration item and a second evaluation configuration item, the first evaluation configuration item is used for defining the identification of the departments participating in evaluation, and the second evaluation configuration item is used for defining the evaluation scores given by different departments according to the evaluation dimensions and the evaluation indexes; analyzing the evaluation form to acquire the identification of the departments participating in evaluation and evaluation scores given by different departments; and inputting the identification of the evaluated department and evaluation scores given by different departments into an evaluation model, and calculating the evaluation value of the evaluated supplier, so that the irrationality caused by human participation is avoided, a buyer can evaluate the supplier more objectively and reasonably, qualified suppliers are effectively screened out, and unqualified suppliers are eliminated.
Drawings
Some specific embodiments of the present application will be described in detail hereinafter by way of illustration and not limitation with reference to the accompanying drawings. The same reference numbers in the drawings identify the same or similar elements or components. Those skilled in the art will appreciate that the drawings are not necessarily drawn to scale.
FIG. 1 is a schematic structural diagram of a system for a buyer to evaluate a supplier according to an embodiment of the present application;
FIG. 2 is a schematic diagram illustrating a method for a buyer evaluating a supplier according to an embodiment of the present application;
FIG. 3 is a schematic structural diagram of a system for establishing evaluation of a supplier by a buyer according to an embodiment of the present application;
FIG. 4 is a flowchart illustrating a method for establishing a buyer to evaluate a supplier according to an embodiment of the present application;
fig. 5 is a schematic structural diagram of an electronic device according to an embodiment of the present application;
fig. 6 is a schematic structural diagram of an electronic device according to an embodiment of the present application;
FIG. 7 is an interface diagram of a function of a form configuration module in an evaluation system according to an embodiment of the present disclosure;
fig. 8 is a schematic diagram of a form management interface of the evaluation system shown in fig. 1 according to an embodiment of the present application;
FIG. 9 is a schematic diagram of an evaluation interface of the evaluation system pricing system of FIG. 1, provided in an embodiment of the present application;
fig. 10 is a schematic structural diagram of an electronic device according to an embodiment of the present application.
Detailed Description
The following further describes specific implementations of embodiments of the present application with reference to the drawings of the embodiments of the present application.
In the technical scheme provided by the application, as the evaluation request is received through the configured data interface, the received evaluation request is analyzed to obtain the identifier of the evaluated supplier; acquiring evaluation indexes of each evaluation dimension stored in a tree structure from a background database according to the identification of the evaluated supplier; generating an evaluation form according to the evaluation dimensions of the evaluated suppliers and the evaluation indexes of the evaluation dimensions, wherein the evaluation form is provided with a first evaluation configuration item and a second evaluation configuration item, the first evaluation configuration item is used for defining the identification of the departments participating in evaluation, and the second evaluation configuration item is used for defining the evaluation scores given by different departments according to the evaluation dimensions and the evaluation indexes; analyzing the evaluation form to acquire the identification of the departments participating in evaluation and evaluation scores given by different departments; and inputting the identification of the evaluated department and evaluation scores given by different departments into an evaluation model, and calculating the evaluation value of the evaluated supplier, so that the irrationality caused by human participation is avoided, a buyer can evaluate the supplier more objectively and reasonably, qualified suppliers are effectively screened out, and unqualified suppliers are eliminated.
FIG. 1 is a schematic structural diagram of a system for a buyer to evaluate a supplier according to an embodiment of the present application; as shown in fig. 1, the system includes:
the request analysis unit 101 is used for receiving an evaluation request through a configured data interface, and analyzing the received evaluation request to obtain the identification of an evaluated supplier;
an evaluation index obtaining unit 102, configured to obtain, from the background database 302, evaluation indexes of each evaluation dimension stored in a tree structure according to an identifier of the evaluated provider;
a form generating unit 103, configured to generate an evaluation form according to the evaluation dimensions of the evaluated supplier and the evaluation indexes of the evaluation dimensions, where the evaluation form is provided with a first evaluation configuration item and a second evaluation configuration item, the first evaluation configuration item is used to define an identifier of a department participating in evaluation, and the second evaluation configuration item is used to define evaluation scores given by different departments according to the evaluation dimensions and the evaluation indexes;
the form analysis unit 104 is used for analyzing the evaluation form to acquire the identification of the department participating in evaluation and the evaluation scores given by different departments;
an evaluation value calculation unit 105 for inputting the identification of the section of the evaluation and the evaluation scores given by different sections into an evaluation model, and calculating the evaluation value of the evaluated supplier.
Optionally, in an embodiment, the evaluation request may be triggered according to an operation of a user, for example, an operation button is configured in the visual interface, and the operation button is clicked by a mouse to receive the operation of the user, where an identifier of the evaluated provider is included in the evaluation request, and the identifier is, for example, an internal custom number or a name of the provider.
Optionally, in an embodiment, different evaluation dimensions and corresponding evaluation indexes may be set for different categories of providers, and therefore, the evaluation index obtaining unit 102 obtains the evaluation indexes of the evaluation dimensions stored in the tree structure from the background database 302 according to the identifier of the provider to be evaluated, and first determines, through matching of the identifiers, which evaluation index of each evaluation dimension stored in the tree structure is to be obtained, thereby implementing differentiated evaluation on different categories of providers.
Optionally, in an embodiment, the form generating unit may specifically generate a multi-dimensional and multi-level form based on the evaluation dimensions of the evaluated suppliers and the nodes of the evaluation indexes of the evaluation dimensions in the tree structure, so as to make objective evaluation on the suppliers as comprehensively as possible.
Optionally, in an embodiment, the form generation unit may further add an identifier of a part participating in evaluation to the generated evaluation form, so as to facilitate the part having the evaluation authority to participate in evaluation, and meanwhile, relevant information of the supplier is only visible to a department participating in evaluation, so that the safety of the supplier information is ensured.
Optionally, in an embodiment, a scoring interval with different evaluation indexes is further added in the evaluation form, so that the reference basis of evaluation is more objective, and meanwhile, the influence factors of the different evaluation indexes on the scoring value can be dynamically adjusted through the definition of the scoring interval.
Alternatively, in an embodiment, the evaluation value calculating unit may further include an evaluation weight stored in a background database when calculating the evaluation value of the evaluated provider, where each department corresponds to one evaluation weight, and the evaluation weight may be flexibly adjusted, for example, a department in close business cooperation with the provider has a large evaluation weight.
Alternatively, in an embodiment, the evaluation value calculation model may be: the scores of each department (sum of each department weight/the department weight participating in the evaluation) are finally added up to the final score.
FIG. 2 is a schematic diagram illustrating a method for a buyer evaluating a supplier according to an embodiment of the present application; as shown in fig. 2, the method includes:
s201, receiving an evaluation request through a configured data interface, and analyzing the received evaluation request to obtain an identifier of an evaluated supplier;
s202, according to the identification of the evaluated supplier, the evaluation indexes of each evaluation dimension are stored in a tree structure from the background database 302;
s203, generating an evaluation form according to the evaluation dimensions of the evaluated suppliers and the evaluation indexes of the evaluation dimensions, wherein the evaluation form is provided with a first evaluation configuration item and a second evaluation configuration item, the first evaluation configuration item is used for defining the identification of departments participating in evaluation, and the second evaluation configuration item is used for defining evaluation scores given by different departments according to the evaluation dimensions and the evaluation indexes;
s204, analyzing the evaluation form to acquire the identification of the department participating in evaluation and evaluation scores given by different departments;
s205, inputting the identification of the evaluated department and the evaluation scores given by different departments into an evaluation model, and calculating the evaluation value of the evaluated supplier.
Fig. 2 is an embodiment of the method corresponding to fig. 1, and a related exemplary explanation can be found in the embodiment of fig. 1.
Here, it should be noted that, in the above steps, there is no strict technical requirement on the time sequence of two consecutive steps, and the steps can be flexibly set according to an application scenario.
FIG. 3 is a schematic structural diagram of a system for establishing evaluation of a supplier by a buyer according to an embodiment of the present application; as shown in fig. 3, the system includes:
a data interface 301 configured to receive an evaluation request to trigger the request parsing unit 101 to parse the received evaluation request to obtain an identifier of an evaluated provider;
a background database 302, configured to store the evaluation indexes of the evaluation dimensions in a tree structure, so that the evaluation index obtaining unit 102 obtains the evaluation indexes of the evaluation dimensions stored in the tree structure from the background database 302 according to the identifier of the evaluated supplier;
an evaluation form model 303, configured to define a rule for generating an evaluation form according to the evaluation dimension of the evaluated supplier and the evaluation index of each evaluation dimension, so that the form generation unit 103 may generate an evaluation form according to the evaluation dimension of the evaluated supplier and the evaluation index of each evaluation dimension, where the evaluation form is provided with a first evaluation configuration item and a second evaluation configuration item, the first evaluation configuration item is used to define an identifier of a department participating in evaluation, and the second evaluation configuration item is used to define an evaluation score given by different departments according to the evaluation dimension and the evaluation index.
In this embodiment, the system shown in fig. 1 can be built by the system provided in fig. 3.
FIG. 4 is a flowchart illustrating a method for establishing a buyer to evaluate a supplier according to an embodiment of the present application; as shown in fig. 4, the method includes:
s401, configured to receive an evaluation request, so as to trigger the request parsing unit 101 to parse the received evaluation request to obtain an identifier of an evaluated provider;
s402, storing the evaluation indexes of all the evaluation dimensions in a tree structure, so that the evaluation index acquisition unit 102 acquires the evaluation indexes of all the evaluation dimensions stored in the tree structure from the background database 302 according to the identification of the evaluated supplier;
and S403, defining a rule for generating an evaluation form according to the evaluation dimension of the evaluated supplier and the evaluation index of each evaluation dimension, so that the form generation unit 103 can generate the evaluation form according to the evaluation dimension of the evaluated supplier and the evaluation index of each evaluation dimension, wherein the evaluation form is provided with a first evaluation configuration item and a second evaluation configuration item, the first evaluation configuration item is used for defining the identification of the department participating in evaluation, and the second evaluation configuration item is used for defining the evaluation scores given by different departments according to the evaluation dimension and the evaluation index.
Fig. 4 is a schematic flow chart of a method corresponding to the system shown in fig. 3.
Fig. 5 is a schematic structural diagram of an electronic device according to an embodiment of the present application; as shown in fig. 5, the system includes a first memory 501 and a second processor 502, the first memory 501 stores thereon computer software programs that implement the following request analysis unit 101, evaluation index acquisition unit 102, form generation unit 103, and form analysis unit 104, and the first processor 502 runs the computer programs so that:
the request analysis unit 101 receives an evaluation request through a configured data interface, and analyzes the received evaluation request to obtain an identifier of an evaluated provider;
the evaluation index acquisition unit 102 acquires evaluation indexes of each evaluation dimension stored in a tree structure from a background database 302 according to the identification of the evaluated supplier;
the form generation unit 103 generates an evaluation form according to the evaluation dimensions of the evaluated suppliers and the evaluation indexes of the evaluation dimensions, wherein the evaluation form is provided with a first evaluation configuration item and a second evaluation configuration item, the first evaluation configuration item is used for defining the identification of the departments participating in evaluation, and the second evaluation configuration item is used for defining the evaluation scores given by different departments according to the evaluation dimensions and the evaluation indexes;
the form analysis unit 104 analyzes the evaluation form to obtain the identification of the department participating in evaluation and the evaluation scores given by different departments;
the evaluation value calculation unit 105 is configured to input the identification of the section to be evaluated and evaluation scores given by different sections into an evaluation model, and calculate the evaluation value of the evaluated supplier.
Fig. 6 is a schematic structural diagram of an electronic device according to an embodiment of the present application; as shown in fig. 6, the electronic device includes a second memory 601 and a second processor 602, the second memory 601 stores thereon a computer software program implementing the following data interface, the background database 302, and the evaluation form model 303, and the second processor 602 executes the computer program so that:
the data interface is configured to receive an evaluation request, so as to trigger the request parsing unit 101 to parse the received evaluation request to obtain an identifier of an evaluated provider;
the background database 302 stores the evaluation indexes of the evaluation dimensions in a tree structure, so that the evaluation index obtaining unit 102 obtains the evaluation indexes of the evaluation dimensions stored in the tree structure from the background database 302 according to the identification of the evaluated supplier;
the evaluation form model 303 defines a rule for generating an evaluation form according to the evaluation dimension of the evaluated supplier and the evaluation index of each evaluation dimension, so that the form generation unit 103 can generate an evaluation form according to the evaluation dimension of the evaluated supplier and the evaluation index of each evaluation dimension, wherein the evaluation form is provided with a first evaluation configuration item and a second evaluation configuration item, the first evaluation configuration item is used for defining the identification of the department participating in the evaluation, and the second evaluation configuration item is used for defining the evaluation scores given by different departments according to the evaluation dimension and the evaluation index.
Optionally, in an embodiment of the present application, in the tree structure, the evaluation dimension is used as a parent node, and the evaluation index forms a tree structure for child nodes.
Optionally, in an embodiment of the present application, the evaluation dimension includes at least one of: supplier operation condition data, supplier quality level data, cooperation tightness data of the supplier and the buyer, and service cooperation data of the supplier to the buyer.
Optionally, in an embodiment of the application, the evaluation index corresponding to the supplier operation condition data includes at least one of the following: business validity data, business scale data, professional degree data and financial condition data;
the supplier quality level data includes at least one of: quality authentication data, quality condition data, supply channel data;
the degree of cooperative closeness between the customer and the buyer includes at least one of the following: supply period data, purchasing cost data, transaction account period data, execution condition data and cooperation intention data;
the service matching degree data of the supplier to the buyer comprises at least one of the following data: pre-sale service matching degree data, logistics service matching degree data and post-sale service matching degree data.
Optionally, in an embodiment of the present application, the business validity data includes at least one of the following: business license data, proxy certificates, and/or proxy protocols; the business scale data includes at least one of: establishing time data, registered fund data, organization and architecture data, personnel scale and distribution data and customer group data; the professional degree data comprises at least one of the following: technology advance, market share data, brand effect data; the financial condition data comprises financial statement data and key financial index data;
the quality authentication data includes at least one of: IOS9000 data, environment management data, security certification data, product/service reliability data, intellectual property certificate data;
the quality status data comprises at least one of: product/service inspection data, satisfaction data during production, product/service supplier requirement matching data;
the supply channel data includes at least one of: source data for products/services offered by the supplier;
the supply cycle data includes at least one of: delivery time data for a product/service, capability data to meet a change in demand for a supplier, said procurement cost data comprising at least one of: price advantage statistics for products/services, the trade ledger data including at least one of: the payment proportion data and the account period duration data, wherein the execution condition data comprises at least one of the following data: execution efficiency data and fulfillment compliance data, the willingness-to-collaborate data including at least one of: resource degree input data and development cooperation statistical data;
the pre-sale service matching degree data comprises at least one of the following data: technical support or service support force data, wherein the logistics service matching degree data comprises at least one of the following data: logistics guarantee data of products/services, and after-sale service matching degree data comprise problem solving timeliness data and satisfaction degree data.
Optionally, in an embodiment of the present application, the evaluation system shown in fig. 3 further includes: and the form configuration module is used for dynamically adjusting the evaluation dimensions of the evaluated suppliers and the evaluation indexes of the evaluation dimensions, wherein the dynamic adjustment comprises at least one of editing, deleting, adding and modifying.
FIG. 7 is an interface diagram of a function of a form configuration module in an evaluation system according to an embodiment of the present disclosure; as shown in fig. 7, the related functions of the single configuration module, such as at least one of editing, deleting, adding and modifying, are presented in the display interface.
Fig. 8 is a schematic diagram of a form management interface of the evaluation system shown in fig. 1 according to an embodiment of the present application; the interface mainly interacts with a user, and in the interface, the user can manage the existing evaluation form, such as displaying the generation time of the evaluation form, the form name, the evaluation type, the aging setting (start time, end time) of the form, and the like, wherein the evaluation type is monthly evaluation, annual evaluation, and the open state of the form.
Further, the evaluation forms may be merged, for example, two rows or two columns are merged into one row, and the input box and the verification length are regenerated to verify whether the input content meets the design requirement.
FIG. 9 is a schematic diagram of an evaluation interface of the evaluation system pricing system of FIG. 1, provided in an embodiment of the present application; as shown in fig. 9, in the evaluation interface, an urgency level option of evaluation, such as non-urgency, general, urgency, etc., a supplier search term, an account period, an evaluation type, an evaluation year, an evaluation date, an evaluation form, an evaluation report, a credit report, a past evaluation, etc., are set.
Fig. 10 is a schematic structural diagram of an electronic device according to an embodiment of the present application; as shown in fig. 10, the hardware structure of the electronic device may include: a processor 1001, a communication interface 1002, a computer-readable medium 1003, and a communication bus 1004;
wherein, the processor 1001, the communication interface 1002 and the computer readable medium 1003 complete the communication with each other through the communication bus 1004;
optionally, the communication interface 1002 may be an interface of a communication module, such as an interface of a GSM module;
the processor 1001 may be specifically configured to run a computer software program stored on the memory, so as to execute all or part of the processing steps of any of the above method embodiments.
The Processor 1001 may be a general-purpose Processor, and includes a Central Processing Unit (CPU), a Network Processor (NP), and the like; but may also be a Digital Signal Processor (DSP), an Application Specific Integrated Circuit (ASIC), an off-the-shelf programmable gate array (FPGA) or other programmable logic device, discrete gate or transistor logic, discrete hardware components. The various methods, steps, and logic blocks disclosed in the embodiments of the present application may be implemented or performed. A general purpose processor may be a microprocessor or the processor may be any conventional processor or the like.
The electronic device of the embodiments of the present application exists in various forms, including but not limited to:
(1) mobile communication devices, which are characterized by mobile communication capabilities and are primarily targeted at providing voice and data communications. Such terminals include smart phones (e.g., iphones), multimedia phones, functional phones, and low-end phones, among others.
(2) The ultra-mobile personal computer equipment belongs to the category of personal computers, has calculation and processing functions and generally has the characteristic of mobile internet access. Such terminals include PDA, MID, and UMPC devices, such as ipads.
(3) Portable entertainment devices such devices may display and play multimedia content. Such devices include audio and video players (e.g., ipods), handheld game consoles, electronic books, as well as smart toys and portable car navigation devices.
(4) The server is similar to a general computer architecture, but has higher requirements on processing capability, stability, reliability, safety, expandability, manageability and the like because of the need of providing highly reliable services.
(5) And other electronic devices with data interaction functions.
Thus, particular embodiments of the present subject matter have been described. Other embodiments are within the scope of the following claims. In some cases, the actions recited in the claims can be performed in a different order and still achieve desirable results. In addition, the processes depicted in the accompanying figures do not necessarily require the particular order shown, or sequential order, to achieve desirable results. In some embodiments, multitasking and parallel processing may be advantageous.
The method illustrated in the above embodiments may be implemented by a computer chip or an entity, or by a product with certain functions. One typical implementation device is a computer. In particular, the computer may be, for example, a personal computer, a laptop computer, a cellular telephone, a camera phone, a smartphone, a personal digital assistant, a media player, a navigation device, an email device, a game console, a tablet computer, a wearable device, or a combination of any of these devices.
As will be appreciated by one skilled in the art, embodiments of the present application may be provided as a method, system, or computer program product. Accordingly, the present application may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present application may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.
The present application is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the application. It will be understood that each flow and/or block of the flow diagrams and/or block diagrams, and combinations of flows and/or blocks in the flow diagrams and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
In a typical configuration, a computing device includes one or more processors (CPUs), input/output interfaces, network interfaces, and memory.
The memory may include forms of volatile memory in a computer readable medium, Random Access Memory (RAM) and/or non-volatile memory, such as Read Only Memory (ROM) or flash memory (flash RAM). Memory is an example of a computer-readable medium.
Computer-readable media, including both non-transitory and non-transitory, removable and non-removable media, may implement information storage by any method or technology. The information may be computer readable instructions, data structures, modules of a program, or other data. Examples of computer storage media include, but are not limited to, phase change memory (PRAM), Static Random Access Memory (SRAM), Dynamic Random Access Memory (DRAM), other types of Random Access Memory (RAM), Read Only Memory (ROM), Electrically Erasable Programmable Read Only Memory (EEPROM), flash memory or other memory technology, compact disc read only memory (CD-ROM), Digital Versatile Discs (DVD) or other optical storage, magnetic cassettes, magnetic tape magnetic disk storage or other magnetic storage devices, or any other non-transmission medium that can be used to store information that can be accessed by a computing device. As defined herein, a computer readable medium does not include a transitory computer readable medium such as a modulated data signal and a carrier wave.
It should also be noted that the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising an … …" does not exclude the presence of other like elements in a process, method, article, or apparatus that comprises the element.
As will be appreciated by one skilled in the art, embodiments of the present application may be provided as a method, system, or computer program product. Accordingly, the present application may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present application may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.
The application may be described in the general context of computer-executable instructions, such as program modules, being executed by a computer. Generally, program modules include routines, programs, objects, components, data structures, etc. that perform particular transactions or implement particular abstract data types. The application may also be practiced in distributed computing environments where transactions are performed by remote processing devices that are linked through a communications network. In a distributed computing environment, program modules may be located in both local and remote computer storage media including memory storage devices.
The embodiments in the present specification are described in a progressive manner, and the same and similar parts among the embodiments are referred to each other, and each embodiment focuses on the differences from the other embodiments. In particular, for the system embodiment, since it is substantially similar to the method embodiment, the description is simple, and for the relevant points, reference may be made to the partial description of the method embodiment.
The above description is only an example of the present application and is not intended to limit the present application. Various modifications and changes may occur to those skilled in the art. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present application should be included in the scope of the claims of the present application.
Claims (10)
1. A system for a buyer to rate a supplier, the system comprising:
the request analysis unit is used for receiving an evaluation request through a configured data interface, and analyzing the received evaluation request to obtain the identification of an evaluated supplier;
the evaluation index acquisition unit is used for acquiring evaluation indexes of all evaluation dimensions stored in a tree structure from a background database according to the identification of the evaluated supplier;
the form generation unit is used for generating an evaluation form according to the evaluation dimensions of the evaluated suppliers and the evaluation indexes of the evaluation dimensions, wherein the evaluation form is provided with a first evaluation configuration item and a second evaluation configuration item, the first evaluation configuration item is used for defining the identification of departments participating in evaluation, and the second evaluation configuration item is used for defining the evaluation scores given by different departments according to the evaluation dimensions and the evaluation indexes;
the form analysis unit is used for analyzing the evaluation form to acquire the identification of the department participating in evaluation and the evaluation scores given by different departments;
and an evaluation value calculation unit for inputting the identification of the section of the evaluation and the evaluation scores given by different sections into an evaluation model and calculating the evaluation value of the evaluated supplier.
2. The evaluation system according to claim 1, wherein the evaluation index forms a tree structure for child nodes in the tree structure with the evaluation dimension as a parent node.
3. The evaluation system of claim 1, wherein the evaluation dimension comprises at least one of: supplier operation condition data, supplier quality level data, cooperation tightness data of the supplier and the buyer, and service cooperation data of the supplier to the buyer.
4. The evaluation system of claim 3, wherein the evaluation index corresponding to the supplier operation condition data comprises at least one of: business validity data, business scale data, professional degree data and financial condition data;
the supplier quality level data includes at least one of: quality authentication data, quality condition data, supply channel data;
the degree of cooperative closeness between the customer and the buyer includes at least one of the following: supply period data, purchasing cost data, transaction account period data, execution condition data and cooperation intention data;
the service matching degree data of the supplier to the buyer comprises at least one of the following data: pre-sale service matching degree data, logistics service matching degree data and post-sale service matching degree data.
5. The evaluation system of claim 4, wherein the business legitimacy data comprises at least one of: business license data, proxy certificates, and/or proxy protocols; the business scale data includes at least one of: establishing time data, registered fund data, organization and architecture data, personnel scale and distribution data and customer group data; the professional degree data comprises at least one of the following: technology advance, market share data, brand effect data; the financial condition data comprises financial statement data and key financial index data;
the quality authentication data includes at least one of: IOS9000 data, environment management data, security certification data, product/service reliability data, intellectual property certificate data;
the quality status data comprises at least one of: product/service inspection data, satisfaction data during production, product/service supplier requirement matching data;
the supply channel data includes at least one of: source data for products/services offered by the supplier;
the supply cycle data includes at least one of: delivery time data for a product/service, capability data to meet a change in demand for a supplier, said procurement cost data comprising at least one of: price advantage statistics for products/services, the trade ledger data including at least one of: the payment proportion data and the account period duration data, wherein the execution condition data comprises at least one of the following data: execution efficiency data and fulfillment compliance data, the willingness-to-collaborate data including at least one of: resource degree input data and development cooperation statistical data;
the pre-sale service matching degree data comprises at least one of the following data: technical support or service support force data, wherein the logistics service matching degree data comprises at least one of the following data: logistics guarantee data of products/services, and after-sale service matching degree data comprise problem solving timeliness data and satisfaction degree data.
6. The evaluation system according to any one of claims 1 to 5, further comprising: and the form configuration module is used for dynamically adjusting the evaluation dimensions of the evaluated suppliers and the evaluation indexes of the evaluation dimensions, wherein the dynamic adjustment comprises at least one of editing, deleting, adding and modifying.
7. A system for establishing a buyer's rating of a supplier, the system comprising:
the data interface is configured to receive an evaluation request to trigger the request parsing unit to parse the received evaluation request to obtain an identifier of an evaluated provider;
the background database is used for storing the evaluation indexes of the evaluation dimensions in a tree structure, so that the evaluation index acquisition unit acquires the evaluation indexes of the evaluation dimensions stored in the tree structure from the background database according to the identification of the evaluated supplier;
and the evaluation form model is used for defining rules for generating an evaluation form according to the evaluation dimension of the evaluated supplier and the evaluation indexes of the evaluation dimensions, so that the form generating unit can generate the evaluation form according to the evaluation dimension of the evaluated supplier and the evaluation indexes of the evaluation dimensions, the evaluation form is provided with a first evaluation configuration item and a second evaluation configuration item, the first evaluation configuration item is used for defining the identification of the department participating in evaluation, and the second evaluation configuration item is used for defining the evaluation scores given by different departments according to the evaluation dimension and the evaluation indexes.
8. The evaluation system according to claim 7, wherein the evaluation indexes form a tree structure for child nodes with the evaluation dimension as a parent node in the tree structure.
9. The evaluation system of claim 7, wherein the evaluation dimension comprises at least one of: supplier operation condition data, supplier quality level data, cooperation tightness data of the supplier and the buyer, and service cooperation data of the supplier to the buyer.
10. The evaluation system of claim 9, wherein the evaluation index corresponding to the supplier operation condition data comprises at least one of: business validity data, business scale data, professional degree data and financial condition data;
the supplier quality level data includes at least one of: quality authentication data, quality condition data, supply channel data;
the degree of cooperative closeness between the customer and the buyer includes at least one of the following: supply period data, purchasing cost data, transaction account period data, execution condition data and cooperation intention data;
the service matching degree data of the supplier to the buyer comprises at least one of the following data: pre-sale service matching degree data, logistics service matching degree data and post-sale service matching degree data.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202011446641.1A CN112561293A (en) | 2020-12-08 | 2020-12-08 | System and electronic equipment for evaluating suppliers by buyers |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202011446641.1A CN112561293A (en) | 2020-12-08 | 2020-12-08 | System and electronic equipment for evaluating suppliers by buyers |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN112561293A true CN112561293A (en) | 2021-03-26 |
Family
ID=75061471
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202011446641.1A Pending CN112561293A (en) | 2020-12-08 | 2020-12-08 | System and electronic equipment for evaluating suppliers by buyers |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN112561293A (en) |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN115115430A (en) * | 2022-07-14 | 2022-09-27 | 北京女娲补天科技信息技术有限公司 | Tree structure-based purchase order generation method and device and computer equipment |
| CN115375413A (en) * | 2022-10-24 | 2022-11-22 | 江西科技学院 | ERP purchasing calculation method and system |
Citations (14)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2003303277A (en) * | 2002-04-12 | 2003-10-24 | Hitachi Ltd | Method and system for providing procurement support information of product |
| JP2004145629A (en) * | 2002-10-24 | 2004-05-20 | Sumitomo Heavy Ind Ltd | Invention evaluation system and invention evaluation program |
| JP2006227978A (en) * | 2005-02-18 | 2006-08-31 | Dainippon Printing Co Ltd | Production schedule plan evaluating system, production schedule plan evaluating method, and production schedule plan selecting method and production schedule plan improvement evaluating method using the same |
| JP2011145996A (en) * | 2010-01-18 | 2011-07-28 | Fujitsu Ltd | Reviewer evaluation apparatus, reviewer evaluation method and program |
| CN106709792A (en) * | 2017-01-22 | 2017-05-24 | 博元森禾信息科技（北京）有限公司 | Evaluation method and evaluation device for online drug transaction credibility |
| CN108090681A (en) * | 2017-12-22 | 2018-05-29 | 广州供电局有限公司 | Electricity provider evaluation optimization method, system, storage medium and computer equipment |
| WO2018107510A1 (en) * | 2016-12-13 | 2018-06-21 | 深圳先进技术研究院 | Method and apparatus for evaluating service quality of public transport system |
| CN108537600A (en) * | 2018-04-17 | 2018-09-14 | 华北电力大学 | A kind of electricity market postitallation evaluation method and computing device |
| CN109740838A (en) * | 2018-11-22 | 2019-05-10 | 平安科技（深圳）有限公司 | Provider service evaluation method and relevant device based on big data |
| 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 |
| US20190287171A1 (en) * | 2018-03-14 | 2019-09-19 | Chicago Mercantile Exchange Inc. | Decision tree data structure based processing system |
| CN110659937A (en) * | 2019-09-20 | 2020-01-07 | 鞍钢集团矿业有限公司 | Gradient-lifting-tree-based improved supplier quantitative scoring prediction algorithm |
| CN110908982A (en) * | 2019-10-23 | 2020-03-24 | 南方电网数字电网研究院有限公司 | Index weight-based scientific data quality score evaluation method and system |
| CN110929969A (en) * | 2018-09-20 | 2020-03-27 | 北京国双科技有限公司 | Supplier evaluation method and device |
-
2020
- 2020-12-08 CN CN202011446641.1A patent/CN112561293A/en active Pending
Patent Citations (14)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2003303277A (en) * | 2002-04-12 | 2003-10-24 | Hitachi Ltd | Method and system for providing procurement support information of product |
| JP2004145629A (en) * | 2002-10-24 | 2004-05-20 | Sumitomo Heavy Ind Ltd | Invention evaluation system and invention evaluation program |
| JP2006227978A (en) * | 2005-02-18 | 2006-08-31 | Dainippon Printing Co Ltd | Production schedule plan evaluating system, production schedule plan evaluating method, and production schedule plan selecting method and production schedule plan improvement evaluating method using the same |
| JP2011145996A (en) * | 2010-01-18 | 2011-07-28 | Fujitsu Ltd | Reviewer evaluation apparatus, reviewer evaluation method and program |
| WO2018107510A1 (en) * | 2016-12-13 | 2018-06-21 | 深圳先进技术研究院 | Method and apparatus for evaluating service quality of public transport system |
| CN106709792A (en) * | 2017-01-22 | 2017-05-24 | 博元森禾信息科技（北京）有限公司 | Evaluation method and evaluation device for online drug transaction credibility |
| CN108090681A (en) * | 2017-12-22 | 2018-05-29 | 广州供电局有限公司 | Electricity provider evaluation optimization method, system, storage medium and computer equipment |
| 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 |
| US20190287171A1 (en) * | 2018-03-14 | 2019-09-19 | Chicago Mercantile Exchange Inc. | Decision tree data structure based processing system |
| CN108537600A (en) * | 2018-04-17 | 2018-09-14 | 华北电力大学 | A kind of electricity market postitallation evaluation method and computing device |
| CN110929969A (en) * | 2018-09-20 | 2020-03-27 | 北京国双科技有限公司 | Supplier evaluation method and device |
| CN109740838A (en) * | 2018-11-22 | 2019-05-10 | 平安科技（深圳）有限公司 | Provider service evaluation method and relevant device based on big data |
| CN110659937A (en) * | 2019-09-20 | 2020-01-07 | 鞍钢集团矿业有限公司 | Gradient-lifting-tree-based improved supplier quantitative scoring prediction algorithm |
| CN110908982A (en) * | 2019-10-23 | 2020-03-24 | 南方电网数字电网研究院有限公司 | Index weight-based scientific data quality score evaluation method and system |
Non-Patent Citations (2)
| Title |
|---|
| 邱均平 等: "人文社会科学评价理论与实践（下册）", 31 January 2012, 武汉大学出版社, pages: 815 - 819 * |
| 黄辉, 梁工谦: "采购商―供应商满意度模型的构建与应用研究", 工业工程与管理, no. 04, 10 August 2004 (2004-08-10), pages 98 - 101 * |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN115115430A (en) * | 2022-07-14 | 2022-09-27 | 北京女娲补天科技信息技术有限公司 | Tree structure-based purchase order generation method and device and computer equipment |
| CN115375413A (en) * | 2022-10-24 | 2022-11-22 | 江西科技学院 | ERP purchasing calculation method and system |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| Bell et al. | A market share theorem | |
| CN108510311B (en) | Method and device for determining marketing scheme and electronic equipment | |
| CN108710634B (en) | Protocol file pushing method and terminal equipment | |
| US11068934B2 (en) | Systems and methods for leveraging social queuing to identify and prevent ticket purchaser simulation | |
| US11270068B2 (en) | System and interface for electronic communication generation and tracking | |
| US9466035B2 (en) | Systems and methods for leveraging social queuing to facilitate event ticket distribution | |
| Schlereth et al. | Measuring consumers' preferences for metered pricing of services | |
| CN112561293A (en) | System and electronic equipment for evaluating suppliers by buyers | |
| US10672016B1 (en) | Pathing and attribution in marketing analytics | |
| US20200151752A1 (en) | System and method for acquiring consumer feedback via rebate reward and linking contributors to acquired feedback | |
| US20150186924A1 (en) | Media spend optimization using a cross-channel predictive model | |
| Brockmann et al. | Prevalent business models for the apple app store | |
| Jeziorski | Empirical model of dynamic merger enforcement—choosing ownership caps in US radio | |
| Esenduran et al. | Understanding the choice of online resale channel for used electronics | |
| Israel et al. | Dynamic proportional rankings | |
| CN109727085A (en) | Insurance sale method, apparatus, equipment and readable storage medium storing program for executing | |
| CN111062594A (en) | Assessment method and device for provider operation capacity and electronic equipment | |
| US10755307B2 (en) | Systems and methods for leveraging social queuing to simulate ticket purchaser behavior | |
| Bichler et al. | Taming the communication and computation complexity of combinatorial auctions: the fuel bid language | |
| JP7059160B2 (en) | Providing equipment, providing method and providing program | |
| CN110866698A (en) | Device for assessing service score of service provider | |
| RU2745340C2 (en) | Virtual marketplace for distributed tools in an enterprise environment | |
| US10824976B2 (en) | Infeasibility management in e-sourcing systems | |
| CN116308826A (en) | Insurance product online method, apparatus, equipment and storage medium | |
| Lotfi et al. | Estimating life cycle sales of technology products with frequent repeat purchases: a fractional calculus-based approach |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination |