CN112149968B - Decision system and method for selecting suppliers - Google Patents
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Abstract
The application relates to a decision system and a method for selecting suppliers, wherein the system comprises: the identification information acquisition module is used for acquiring the identification information of the material to be purchased; the inquiring module is used for inquiring and obtaining suppliers for providing materials to be purchased according to the identification information; the supplier information acquisition module is used for acquiring supplier information corresponding to each supplier; the index module is used for determining first index information corresponding to the materials to be purchased of each supplier according to the supplier information; and the selection module is used for selecting a target supplier for providing the material to be purchased from suppliers according to the first index information. According to the scheme provided by the application, the supplier information of the suppliers for providing the materials to be purchased can be rapidly inquired, the target suppliers can be obtained through screening according to the first index information corresponding to the obtained supplier information, the uniformity of the standards selected by the suppliers can be facilitated, and the problems of non-uniformity and low efficiency of the standards caused by manual selection are avoided.
Description
Technical Field
The present application relates to the field of computer data processing technology, and in particular, to a decision making system and apparatus for selecting suppliers.
Background
In the prior art, the specific object is subjected to index based on an operator, when the object has a small dimension, more accurate first index information can be obtained, and when the object has a large dimension, the operator can hardly give out the accurate and objective first index information.
For example: each supplier has difficulty completing the manufacture of all parts by itself, and therefore needs to make purchases from multiple suppliers. Currently, the comprehensive conditions (such as quality index, cost index, supply guarantee index, mutual clients, etc.) of suppliers are mostly judged by purchasing operators according to their impressions. The disadvantage of this approach is that it is too subjective, the advantages for each dimension of the vendor cannot be quickly derived, and there is a lack of strong and efficient data support when comparing different vendors. The purchasing operators have no objective, clear and transparent data support for selecting which suppliers, and it is difficult to quickly select the best supplier among multiple suppliers.
Aiming at a plurality of technical problems existing in the related art, no effective solution is provided at present.
Disclosure of Invention
To solve or at least partially solve the above technical problems, the present application provides a decision system and method for selecting suppliers.
In a first aspect, an embodiment of the present application provides a decision system for selecting a provider, including:
The identification information acquisition module is used for acquiring the identification information of the material to be purchased;
the inquiring module is used for inquiring and obtaining suppliers for providing the materials to be purchased according to the identification information;
a provider information acquisition module for acquiring provider information corresponding to each provider;
The index module is used for determining first index information corresponding to the materials to be purchased and of each supplier according to the supplier information;
And the selection module is used for selecting a target supplier for providing the material to be purchased from the suppliers according to the first index information.
Optionally, in the foregoing system, the index module includes:
an index type determining unit, configured to determine an index type corresponding to the first index information;
a parameter type determining unit, configured to determine a parameter type included in each of the index types;
The inquiring unit is used for inquiring and obtaining parameter values corresponding to the parameter types in the provider information;
The first strategy unit is used for determining a first calculation strategy corresponding to each index type;
the first processing unit is used for inputting the parameter value corresponding to each parameter type in each index type into a corresponding first calculation strategy to obtain second index information corresponding to each index type;
And the second processing unit is used for inputting each piece of second index information into a preset second calculation strategy to obtain the first index information.
Optionally, the system as described above further comprises: an editing module connected with the index module, the editing module comprising:
the first receiving unit is used for receiving a configuration instruction for configuring the target index type through a preset interactive interface;
The configuration unit is used for determining a target parameter type related to the target index type according to the configuration instruction;
the second receiving unit is used for receiving and obtaining an editing instruction through the interactive interface;
The editing unit is used for editing the first calculation strategy to be edited and/or the second calculation strategy to be edited according to the editing instruction to obtain a first target calculation strategy composed of variables corresponding to the target parameter types and a second target calculation strategy composed of variables corresponding to the index types; the first calculation strategy to be edited is a first calculation strategy corresponding to the target index type.
Optionally, in the foregoing system, the index type includes: quality index type, price index type, supply guarantee index type and business index type; the second processing unit includes:
A first result determining subunit, configured to determine quality indicator information corresponding to the quality indicator type, price indicator information corresponding to the price indicator type, supply guarantee indicator information corresponding to the supply guarantee indicator type, and service indicator information corresponding to the service indicator type;
and the second result determining subunit is used for respectively determining the weights of the quality index information, the price index information, the supply guarantee index information and the service index information according to the second calculation strategy and then calculating to obtain the first index information.
Optionally, in the foregoing system, the index type includes: price index type; the material to be purchased comprises at least one sub-material i; the first processing unit includes:
an acquisition subunit for acquiring a supply amount G Xi of each of the suppliers X to each of the sub materials i and a supply unit price p Xi; wherein i is an integer of 1 or more;
The first calculating subunit is configured to obtain a purchase amount ratio R i＝Ci/C of each sub-material i according to the total purchase amount C of all the sub-materials i and the purchase amount C i of each sub-material i;
A second calculating subunit, configured to obtain a supply price evaluation value corresponding to each of the suppliers X by using the following formula:
Wherein n is the total number of types of sub-materials i included in the material to be purchased; p Xi' is the lowest unit price of supply of said sub-material i from each of said suppliers;
A result calculation subunit for obtaining price index information corresponding to each of the suppliers X according to the supply price evaluation value; the price index information is first index information corresponding to the price index type.
Optionally, in the foregoing system, the provider information obtaining module includes:
The first acquisition unit is used for guiding out the supplier information of the materials to be purchased, supplied by each supplier, from a target system through a preset interface;
the second acquisition unit is used for receiving and obtaining the supplier information obtained through input through a preset interactive interface.
Optionally, in the foregoing system, the selecting module includes:
The total amount determining unit is used for determining the purchasing total amount of the materials to be purchased;
The sorting unit is used for determining sorting information corresponding to different suppliers and the materials to be purchased according to the first index information;
and the purchase quantity determining unit is used for obtaining the target purchase quantity of the material to be purchased from each supplier according to the sorting information.
Optionally, the system as described above further comprises: the sending module is connected with the index module, and the sending module comprises:
a corresponding unit, configured to obtain a corresponding relationship between each provider and a communication address;
and the sending unit is used for sending the first index information corresponding to each provider to the corresponding communication address according to the corresponding relation.
Optionally, the system as described above further comprises: an improvement module coupled to the metrics module, the improvement module comprising:
The item determining unit is used for determining unqualified items corresponding to the suppliers and second index information corresponding to the unqualified items according to the first index information and preset conditions;
And the improvement strategy unit is used for generating an improvement strategy corresponding to the provider according to the second index information corresponding to the unqualified item.
In a second aspect, an embodiment of the present application provides a data processing method for selecting a provider, including:
acquiring identification information of a material to be purchased;
Inquiring according to the identification information to obtain a supplier for providing the material to be purchased;
Acquiring provider information corresponding to each provider;
Determining first index information corresponding to the materials to be purchased of each supplier according to the supplier information;
and selecting a target supplier for providing the material to be purchased from the suppliers according to the first index information.
The embodiment of the application provides a decision system and a decision method for selecting suppliers, wherein the system comprises the following steps: the identification information acquisition module is used for acquiring the identification information of the material to be purchased; the inquiring module is used for inquiring and obtaining suppliers for providing the materials to be purchased according to the identification information; a provider information acquisition module for acquiring provider information corresponding to each provider; the index module is used for determining first index information corresponding to the materials to be purchased and of each supplier according to the supplier information; and the selection module is used for selecting a target supplier for providing the material to be purchased from the suppliers according to the first index information. Through the system in the embodiment, the supplier information of each supplier for providing the material to be purchased can be obtained through quick inquiry, the corresponding first index information can be obtained according to the supplier information, the corresponding target suppliers can be obtained through screening according to the first index information, the uniformity of standards selected by the suppliers can be facilitated, and the problems of non-uniformity of the standards and low efficiency caused by manual selection are avoided.
Drawings
The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the invention and together with the description, serve to explain the principles of the invention.
In order to more clearly illustrate the embodiments of the invention or the technical solutions of the prior art, the drawings which are used in the description of the embodiments or the prior art will be briefly described, and it will be obvious to a person skilled in the art that other drawings can be obtained from these drawings without inventive effort.
FIG. 1 is a block diagram of a decision system for selecting suppliers according to an embodiment of the present application;
FIG. 2 is a block diagram of a decision system for selecting suppliers according to another embodiment of the present application;
FIG. 3 is a block diagram of a decision system for selecting suppliers according to another embodiment of the present application;
Fig. 4 is a flowchart of a data processing method for selecting a provider according to an embodiment of the present application.
Detailed Description
For the purpose of making the objects, technical solutions and advantages of the embodiments of the present application more apparent, the technical solutions of the embodiments of the present application will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present application, and it is apparent that the described embodiments are some embodiments of the present application, but not all embodiments of the present application. All other embodiments, which can be made by those skilled in the art based on the embodiments of the application without making any inventive effort, are intended to be within the scope of the application.
Fig. 1 is a decision system for selecting a provider according to an embodiment of the present application, including:
the identification information acquisition module 1 is used for acquiring the identification information of the material to be purchased.
Specifically, the identification information acquisition module 1 may acquire identification information of the material to be purchased input by the user through an input box, where the identification information may be information uniquely corresponding to the material to be purchased, such as a code, a name, and the like, further, the identification information may also be information such as a two-dimensional code, and further, the identification information may be directly scanned by the code scanning device or the two-dimensional code may be uploaded to the module for identifying through the identification information acquisition module 1, so as to determine the material to be purchased.
And the query module 2 is used for querying and obtaining the suppliers for providing the materials to be purchased according to the identification information.
Specifically, a corresponding relationship between the suppliers and the materials to be purchased may be pre-established, and the corresponding relationship is stored in a specific database, and then the database is queried by the query module 2 according to the identification information, so as to obtain the suppliers associated with the identification information.
And a provider information acquisition module 3 for acquiring provider information corresponding to each provider.
In particular, the vendor information may include, but is not limited to: the group, the material class, the manufacturer code, the manufacturer name, the inspection lot number, the qualified lot number, the batch inspection failure rate, the use number, the offline rate, the after-sale failure rate, the quality special requirement I, the quality special requirement II, the quality special requirement III, the withdrawal number, the stop line number, the package return number, the major default number, the correction failure effectiveness number, the serious failure number, the general failure item, the recommended item failure, the quality protocol signing, the excitation project and the like.
The information involved can be uploaded by the provider itself or written by a system maintainer.
The index module 4 is used for determining first index information corresponding to the material to be purchased of each supplier according to the supplier information;
optionally, the first index information is an evaluation result which can characterize the supply of the material to be purchased by each supplier; further, the information of each category in the provider information can be obtained by comprehensive calculation. And the first index information of different suppliers corresponding to the same material to be purchased is generally different, and the first index information of the same supplier corresponding to different material to be purchased is also different.
And the selection module 5 is used for selecting a target supplier for providing the material to be purchased from suppliers according to the first index information.
That is, after obtaining the first index information of each supplier corresponding to the material to be purchased, a target supplier providing the material to be purchased may be selected from each supplier based on the first index information, wherein the target supplier is a final selected supplier providing the material to be purchased, and generally, the target supplier may include one or more. For example, the target supplier may be selected by comparing the unit prices of the different suppliers and then selecting the lowest unit price.
In summary, through the system in this embodiment, the supplier information of each supplier providing the material to be purchased can be obtained through quick query, the corresponding first index information can be obtained according to each supplier information, and the corresponding target supplier can be obtained through screening according to the first index information, so that uniformity of standards selected by the suppliers can be facilitated, and the problems of non-uniformity and low efficiency of the standards caused by manual selection are avoided.
As shown in fig. 2, in some embodiments, as in the aforementioned system, the metrics module 4 includes:
an index type determining unit 41 for determining an index type corresponding to the first index information.
Specifically, one or more index types corresponding to the first index information may exist, and when a plurality of index types exist, the first index information may be calculated according to parameter values corresponding to the index types.
A parameter type determining unit 42 for determining the parameter type included in each index type.
That is, each index type may also include one or more parameter types; on the basis of the examples of the foregoing embodiments, when the index type is a product quality index, the parameter types that may be included may further include: after-market reject ratio, quality claim 1, quality claim 2, quality claim 3, etc.
And the query unit 43 is configured to query the provider information for obtaining parameter values corresponding to the respective parameter types.
Specifically, the vendor information may include various parameter types and parameter values; and each parameter value corresponds to a particular parameter type. Thus, alternatively, the vendor information may be stored in a database in the form of a data table.
The first policy unit 44 is configured to determine a first calculation policy corresponding to each index type.
Specifically, the first calculation strategy is a calculation strategy corresponding to index types, and each index type can be corresponding to one first calculation strategy; the first calculation strategy may be a method capable of implementing a certain calculation formula.
The first processing unit 45 is configured to input the parameter values corresponding to the parameter types in each index type into the corresponding first calculation policy, and obtain second index information corresponding to each index type.
Specifically, each variable in the first calculation strategy is uniquely corresponding to a parameter type in the index type; the corresponding relation between each index type and the first calculation strategy can be established in advance, the first calculation strategy is called when the method is used, and then each variable in the first calculation strategy is assigned through the parameter value corresponding to each parameter type, so that the second index information corresponding to each index type is obtained through calculation.
The second processing unit 46 is configured to input each piece of second index information into a preset second calculation policy to obtain the first index information.
That is, the second calculation policy is a policy for calculating the first index information from the second index information. Similarly, each piece of second index information may be used as a parameter value to assign a value to a variable corresponding to each piece of second index information in the second calculation policy, so as to obtain the first index information.
Furthermore, by adopting the method in the embodiment, the first index information corresponding to each provider can be obtained, so that the provider can be intuitively represented, and the later judgment and use are more convenient.
In some embodiments, a system as previously described, further comprising: the editing module 6 is connected with the index module, and the editing module 6 comprises:
The first receiving unit 61 is configured to receive, through a preset interactive interface, a configuration instruction for configuring the target index type.
Specifically, the receiving of the configuration instruction may be implemented by triggering a specific control on the interactive interface (for example, triggering "start to configure" or the like), and the configuration instruction may be used to configure the parameter types included in the target index type. The configuration mode selected by the configuration instruction may include, but is not limited to: add, delete, modify, etc. The implementation method of the adding can be that after the interactive interface clicks and adds, all parameter types which can be associated with the target index type are obtained, and then the parameter types are associated with the target index type; the deleting method can be as follows: displaying all parameter types associated with the target index type on the interactive interface, wherein each parameter type can correspond to a deletion control, and when the deletion control is triggered, the association relationship between the contact parameter type and the target index type can be realized; wherein the modification may be to modify information such as the name of the parameter type.
A configuration unit 62 for determining a target parameter type related to the target indicator type according to the configuration instruction.
Specifically, after the target index type is configured according to the configuration instruction, all target parameter types related to the target index type can be determined.
The second receiving unit 63 is configured to receive the editing instruction through the interactive interface.
Specifically, the receiving of the editing instruction can be realized by triggering a specific control on the interactive interface (for example, triggering "starting formula editing", etc.), and the parameter types included in the target index type can be configured through the editing instruction.
An editing unit 64, configured to edit the first calculation policy to be edited and/or the second calculation policy to be edited according to the editing instruction, so as to obtain a first target calculation policy composed of variables corresponding to the target parameter types, and a second target calculation policy composed of variables corresponding to the index types; the first calculation strategy to be edited is a first calculation strategy corresponding to the target index type.
Specifically, the editing instruction may be used for editing the first calculation strategy to be edited, or may be used for editing the second calculation strategy to be edited; when the first calculation strategy to be edited and the second calculation strategy to be edited are formulas, editing instructions can edit the formulas through operation logic displayed on the interactive interface, and the corresponding relation between variables in the formulas and various parameter types can be established through the editing instructions; thus, a first target calculation strategy consisting of variables corresponding to the target parameter types and a second target calculation strategy consisting of variables corresponding to the index types can be obtained.
Furthermore, by the method in the embodiment, the calculation strategy and the parameter type can be configured in a personalized way, so that the method is suitable for different application scenes and can be adaptively corrected along with the change of the scenes, and the accuracy of the first index information can be effectively improved.
In some embodiments, as in the previous system, the index types include: quality index type, price index type, supply guarantee index type and business index type; the second processing unit 46 includes:
The first result determining subunit 461 is configured to determine quality index information corresponding to the quality index type, price index information corresponding to the price index type, supply guarantee index information corresponding to the supply guarantee index type, and service index information corresponding to the service index type. Specifically, the quality index information may be used for quality evaluation, the price index type may be used for price evaluation, the supply guarantee index type may be used for supply guarantee evaluation, and the business index type may be used for deep cooperation and support condition evaluation of suppliers on my products, activities, etc.
The second result determining subunit 462 is configured to determine weights of the quality index information, the price index information, the supply guarantee index information, and the service index information according to the second calculation policy, and calculate the first index information. Specifically, the first index information may be obtained by performing weighted calculation on quality index information, price index information, supply guarantee index information and service index information. For example, one implementation method corresponding to the optional weight allocation manner may be:
First index information=quality index information×0.3+ price index information x 0.3+ supply security index information x 0.3+ service index information x 0.1.
Wherein, when the index type is a price index type; the material to be purchased comprises at least one sub-material i; the first processing unit 45 includes:
An acquisition subunit 451 for acquiring a supply amount G Xi of each of the suppliers X to each of the seed materials i and a supply unit price p Xi; wherein i is an integer of 1 or more; alternatively, if supplier X does not offer a sub-item i, i.e., p Xi has no price, p Xi may take the highest price of that sub-item from all suppliers as the unit price of supply p Xi.
A first calculating subunit 452, configured to obtain a purchase amount ratio R i＝Ci/C of each sub-material i according to the total purchase amount C of all sub-materials i and the purchase amount C i of each sub-material i; wherein the total purchase amount of a certain sub-material is equal to the price of the sub-material of the supplier A, the quantity of the sub-material delivered from the supplier A, the price of the sub-material of the supplier B, the quantity of the sub-material delivered from the supplier B and … …
The second calculation subunit 453 is configured to obtain the supply price estimation value corresponding to each provider X by using the following formula:
Wherein n is the total number of types of sub-materials i included in the material to be purchased; p Xi' is the lowest unit price of supply of sub-material i in each supplier;
A result calculation subunit 454 for obtaining price index information corresponding to each provider X from the supply price evaluation value; the price index information is first index information corresponding to a price index type.
The score of the provider with the highest score of the first index information may be P (x) =100, and the scores of other providers may be obtained by sequentially reducing the fixed score difference according to the order, or may be obtained according to the ratio between the first index information corresponding to different providers.
Further, the method can further comprise two dimensions of pricing satisfaction and innovation cost reduction project evaluation, so that the comprehensive evaluation model corresponding to the price index type can comprise three evaluation dimensions.
Q(x)＝0.8×P(x)+0.2×D(x)+I(x)
Wherein Q (x) is: price plate evaluation score; p (x) is: cost performance evaluation scores; d (x) is: pricing satisfaction evaluation scores; i (x) is: the innovation project reduces the cost and evaluates the score;
Alternatively, I (X) =30×x/(x+1), where X is a value of cost reduction. The information of the supply and guarantee indexes can be calculated by the following method:
Supply guarantee evaluation score = stop time score x supply difficulty coefficient + emergency support score;
Stop time score = (1-T X +.t) ×100; wherein T X is the downtime (i.e., downtime) of the supplier X corresponding to a certain material, and T is the total downtime of all suppliers providing the material.
The difficulty of supply coefficient can be obtained by the following method:
determining the quantity of material types which can be supplied by each supplier, the target supply quantity of target materials and the quantity of supply bases;
Determining a material type quantity ranking and a target supply ranking corresponding to each supplier;
obtaining the corresponding goods coverage rate of each supplier according to the number of the goods bases and the total quantity of the goods bases;
and obtaining a supply difficulty coefficient for supplying the target materials to each supplier according to the material type number ranking, the target supply amount ranking and the supply coverage rate of each supplier.
For example, the difficulty of supply k=the number of codes for supply of a certain material class rank factor x 0.6+the number of supplies of a certain material class rank factor x 0.2+the base coverage factor x 0.2 for supply of a certain material class; the material type supply code quantity ranking coefficient is the material type quantity ranking, the material type supply quantity ranking coefficient is the target supply quantity ranking, and the material type supply base coverage coefficient is the supply coverage rate;
(1) The deviation rate of the number of the goods supply codes is less than or equal to 5 percent the deviation rate of the quantity of the supplied goods is less than or equal to 10 percent, the ranking is not lowered;
(2) Deviation ratio= (1-current ranking value/last ranking value) ×100%;
(3) Ranking coefficients, as shown in the following table:
| Ranking | Coefficients of |
| A first part | 1 |
| Two (II) | 0.9 |
| Three kinds of | 0.8 |
| …… | …… |
| Nth name | 0.3 |
(4) If the deviation rate of the number of codes of the latter name is more than 10% and the deviation rate of the number of goods supplied is more than 20%, the coefficient can be reduced by 0.1 more;
(5) Optionally, the coefficients are to 0.3 back cover.
(6) Supply base coverage coefficient = base coverage x 0.8+0.2
Base coverage coefficient:
when a material of the manufacturer A supplies 4 places and 8 places are needed for the total region, the following steps are:
base coverage = 48×100% = 50%
Supply base coverage factor: 0.5×0.8+0.2=0.6
Difficulty coefficient of supply:
factory a supply difficulty coefficient=1 x 0.6+1×0.2+0.6 x 0.2=0.92.
The business index type can reflect the deep cooperation and support conditions of the suppliers on the aspects of products, activities and the like of the buyers when the suppliers and the buyers are clients. The calculation formula of the mutual evaluation model is as follows:
E(x)＝P(x)+S(x)×10＝(a×66+b×33+c×33+d×3.3)÷T(x)×100+s(x)×10
Wherein a: retail complete purchase amount; b: engineering order purchase amount; c: intelligent equipment purchase amount; d: an industrial product purchase amount; p (x): purchasing product scores, 120 points capping; s (x): activity sponsorship score; t (x): the manufacturer's quarter supply amount.
In summary, by adopting the method in this embodiment, the provider may be evaluated by using the multidimensional index, so as to obtain a comprehensive evaluation result.
In some embodiments, as in the previous system, the vendor information obtaining module 3 includes:
A first obtaining unit 31, configured to derive, from a target system through a preset interface, supplier information of materials to be purchased supplied by each supplier;
the second obtaining unit 32 is configured to receive and obtain, through a preset interactive interface, the vendor information obtained through the input.
Specifically, the target system is a system that provides vendor information; the relevant information can be uploaded by the provider itself or can be obtained after writing by a provider information maintainer.
That is, the acquiring method of the provider information may be: derived from other systems (namely, target systems) through a preset interface; or can be obtained after being written by related personnel through an interactive interface.
By the method in the embodiment, various paths for acquiring the supplier information can be included, data maintenance is facilitated, and instantaneity and accuracy of the supplier information can be effectively ensured. As shown in fig. 3, in some embodiments, as in the previous system, the selection module 5 comprises:
The total amount determining unit 51 is configured to determine a purchase total amount of the material to be purchased.
That is, the total purchase amount is the total purchase amount of the material to be purchased, and the total purchase amount can be obtained by writing the operator into the specific control on the interactive interface.
The sorting unit 52 is configured to determine sorting information corresponding to the material to be purchased from different suppliers according to the first index information.
Specifically, the first index information may be a score of each supplier corresponding to the material to be purchased, so that each supplier may be ranked according to each first index information, and optional: the ranking information may be obtained in a big-to-small ranking manner.
The purchase amount determining unit 53 is configured to obtain a target purchase amount of the material to be purchased from each of the suppliers according to the ranking information.
Specifically, after the ranking information is obtained, the ranking information corresponding to each supplier may be obtained, and then a target supplier for providing the material to be purchased may be determined according to the ranking information, for example: the top 3 suppliers offer; target purchase amounts of the respective target suppliers; for example: the first provider provides 50% of the material to be purchased, the second provider provides 50% of the material to be purchased, and the third provider provides 20% of the material to be purchased.
By the method in the embodiment, the supply quantity of each supplier can be automatically acquired, and the situation of inaccurate calculation or human intervention caused by human operation is avoided.
In some embodiments, a system as previously described, further comprising: a transmission module 7 connected to the index module 4, the transmission module 7 including:
a correspondence unit 71, configured to obtain correspondence between each provider and a communication address;
And a sending unit 72, configured to send the first index information corresponding to each provider to the corresponding communication address according to the correspondence relationship.
Specifically, a correspondence between the provider and the communication address may be pre-established, or alternatively, a correspondence between the ID or name of the provider and the communication address may be established, and the correspondence may be stored in a specific provider communication database; the database may be queried by the query module 2 by the ID or name of the provider to obtain a communication address corresponding to the provider.
After the communication address is obtained, the first index information corresponding to each provider can be sent to the corresponding communication address, so that the purpose of informing each provider of the corresponding evaluation result is achieved, and the provider can improve the method according to the first index information.
In some embodiments, a system as previously described, further comprising: an improvement module 8 connected to the index module 4, the improvement module 8 comprising:
The item determining unit 81 is configured to determine, according to the first index information and the preset condition, a reject item corresponding to the provider and second index information corresponding to the reject item.
Specifically, the first index information includes at least one piece of second index information; each of the second index information corresponds to an item for which a provider is rated; the preset condition is a condition for determining whether each piece of second index information is qualified.
And an improvement policy unit 82, configured to generate an improvement policy corresponding to the provider according to the second index information corresponding to the unqualified item.
Specifically, the improvement policy is a policy provided to the provider to improve its own supply capability, where each item may correspond to one or more improvement policies, and optionally, when the second index information corresponding to a certain item does not meet a preset condition or after a certain item is determined to be a failed item, the obtaining is triggered to obtain the corresponding improvement policy.
By the method in the embodiment, corresponding index information can be generated for the suppliers, and corresponding improvement strategies can be automatically generated for the items which do not meet the requirements in the suppliers, so that the supply level of the suppliers is promoted.
As shown in fig. 4, according to an embodiment of another aspect of the present application, there is also provided a data processing method for selecting a vendor, including steps S1 to S5 as follows:
s1, acquiring identification information of a material to be purchased;
s2, inquiring according to the identification information to obtain a supplier for providing the material to be purchased;
s3, obtaining supplier information corresponding to each supplier;
s4, determining first index information corresponding to the materials to be purchased of each supplier according to the supplier information;
And S5, selecting a target supplier for providing the material to be purchased from suppliers according to the first index information.
Specifically, the specific process of implementing the functions of each step in the method of the embodiment of the present invention may refer to the related description in the foregoing embodiment, which is not repeated herein.
According to another embodiment of the present application, there is also provided an electronic device, which may include: the device comprises a processor, a communication interface, a memory and a communication bus, wherein the processor, the communication interface and the memory are in communication with each other through the communication bus.
A memory for storing a computer program;
And the processor is used for realizing the steps of the method embodiment when executing the program stored in the memory.
The bus mentioned above for the electronic device may be a peripheral component interconnect standard (PERIPHERAL COMPONENT INTERCONNECT, PCI) bus or an extended industry standard architecture (Extended Industry Standard Architecture, EISA) bus, etc. The bus may be classified as an address bus, a data bus, a control bus, etc. For ease of illustration, the figures are shown with only one bold line, but not with only one bus or one type of bus.
The communication interface is used for communication between the electronic device and other devices.
The Memory may include random access Memory (Random Access Memory, RAM) or may include Non-Volatile Memory (NVM), such as at least one disk Memory. Optionally, the memory may also be at least one memory device located remotely from the aforementioned processor.
The processor may be a general-purpose processor, including a central processing unit (Central Processing Unit, CPU), a network processor (Network Processor, NP), etc.; but may also be a Digital signal processor (Digital SignalProcessing, DSP), application SPECIFIC INTEGRATED Circuit (ASIC), field-Programmable gate array (Field-Programmable GATE ARRAY, FPGA) or other Programmable logic device, discrete gate or transistor logic device, discrete hardware components.
The embodiment of the application also provides a storage medium, which comprises a stored program, wherein the program executes the method steps of the method embodiment.
It should be noted that in this document, relational terms such as "first" and "second" and the like are used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Moreover, 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 one … …" does not exclude the presence of other like elements in a process, method, article, or apparatus that comprises the element.
The foregoing is only a specific embodiment of the invention to enable those skilled in the art to understand or practice the invention. Various modifications to these embodiments will be readily apparent to those skilled in the art, and the generic principles defined herein may be applied to other embodiments without departing from the spirit or scope of the invention. Thus, the present invention is not intended to be limited to the embodiments shown herein but is to be accorded the widest scope consistent with the principles and novel features disclosed herein.
Claims (10)
1. A decision making system for selecting a provider, comprising:
The identification information acquisition module is used for acquiring the identification information of the material to be purchased;
the inquiring module is used for inquiring and obtaining suppliers for providing the materials to be purchased according to the identification information;
a provider information acquisition module for acquiring provider information corresponding to each provider;
The index module is used for determining first index information corresponding to the materials to be purchased of each supplier according to the supplier information, wherein the first index information is a weighted sum of quality index information, price index information, supply guarantee index information and business index information; when the index type of the first index information is a price index type, the comprehensive evaluation model corresponding to the price index type is as follows:
；
Wherein, The method comprises the following steps: price plate evaluation score; The method comprises the following steps: cost performance evaluation scores; The method comprises the following steps: pricing satisfaction evaluation scores; the method comprises the following steps: the innovation project reduces the cost and evaluates the score;
Wherein x is a cost-reduced value;
the supply guarantee evaluation score=stop line time score×supply difficulty coefficient+emergency support score;
The stop time score = (1-T X +.t) ×100; wherein T X is the stop time of the supplier X corresponding to a certain material, and T is the total stop time of all suppliers providing the material;
The difficulty of supply coefficient is obtained by the following method: determining the quantity of material types which can be supplied by each supplier, the target supply quantity of target materials and the quantity of supply bases; determining a material type quantity ranking and a target supply ranking corresponding to each supplier; obtaining the corresponding goods coverage rate of each supplier according to the number of the goods bases and the total quantity of the goods bases; obtaining a supply difficulty coefficient for supplying the target materials to each supplier according to the material type number ranking, the target supply amount ranking and the supply coverage rate of each supplier;
And the selection module is used for selecting a target supplier for providing the material to be purchased from the suppliers according to the first index information.
2. The system of claim 1, wherein the metrics module comprises:
an index type determining unit, configured to determine an index type corresponding to the first index information;
a parameter type determining unit, configured to determine a parameter type included in each of the index types;
The inquiring unit is used for inquiring and obtaining parameter values corresponding to the parameter types in the provider information;
The first strategy unit is used for determining a first calculation strategy corresponding to each index type;
the first processing unit is used for inputting the parameter value corresponding to each parameter type in each index type into a corresponding first calculation strategy to obtain second index information corresponding to each index type;
And the second processing unit is used for inputting each piece of second index information into a preset second calculation strategy to obtain the first index information.
3. The system as recited in claim 2, further comprising: an editing module connected with the index module, the editing module comprising:
the first receiving unit is used for receiving a configuration instruction for configuring the target index type through a preset interactive interface;
The configuration unit is used for determining a target parameter type related to the target index type according to the configuration instruction;
the second receiving unit is used for receiving and obtaining an editing instruction through the interactive interface;
The editing unit is used for editing the first calculation strategy to be edited and/or the second calculation strategy to be edited according to the editing instruction to obtain a first target calculation strategy composed of variables corresponding to the target parameter types and a second target calculation strategy composed of variables corresponding to the index types; the first calculation strategy to be edited is a first calculation strategy corresponding to the target index type.
4. The system of claim 2, wherein the index type comprises: quality index type, price index type, supply guarantee index type and business index type; the second processing unit includes:
A first result determining subunit, configured to determine quality indicator information corresponding to the quality indicator type, price indicator information corresponding to the price indicator type, supply guarantee indicator information corresponding to the supply guarantee indicator type, and service indicator information corresponding to the service indicator type;
and the second result determining subunit is used for respectively determining the weights of the quality index information, the price index information, the supply guarantee index information and the service index information according to the second calculation strategy and then calculating to obtain the first index information.
5. The system of claim 2, wherein the index type comprises: price index type; the material to be purchased comprises at least one sub-material i; the first processing unit includes:
an acquisition subunit for acquiring a supply amount G Xi of each of the suppliers X to each of the sub materials i and a supply unit price p Xi; wherein i is an integer of 1 or more;
The first calculating subunit is configured to obtain a purchase amount ratio R i=Ci/C of each sub-material i according to the total purchase amount C of all the sub-materials i and the purchase amount C i of each sub-material i;
A second calculating subunit, configured to obtain a supply price evaluation value corresponding to each of the suppliers X by using the following formula:
；
Wherein n is the total number of types of sub-materials i included in the material to be purchased; p Xi' is the lowest unit price of supply of said sub-material i from each of said suppliers;
A result calculation subunit for obtaining price index information corresponding to each of the suppliers X according to the supply price evaluation value; the price index information is first index information corresponding to the price index type.
6. The system of claim 1, wherein the vendor information acquisition module comprises:
The first acquisition unit is used for guiding out the supplier information of the materials to be purchased, supplied by each supplier, from a target system through a preset interface;
the second acquisition unit is used for receiving and obtaining the supplier information obtained through input through a preset interactive interface.
7. The system of claim 1, wherein the selection module comprises:
The total amount determining unit is used for determining the purchasing total amount of the materials to be purchased;
The sorting unit is used for determining sorting information corresponding to different suppliers and the materials to be purchased according to the first index information;
and the purchase quantity determining unit is used for obtaining the target purchase quantity of the material to be purchased from each supplier according to the sorting information.
8. The system as recited in claim 1, further comprising: the sending module is connected with the index module, and the sending module comprises:
a corresponding unit, configured to obtain a corresponding relationship between each provider and a communication address;
and the sending unit is used for sending the first index information corresponding to each provider to the corresponding communication address according to the corresponding relation.
9. The system as recited in claim 1, further comprising: an improvement module coupled to the metrics module, the improvement module comprising:
The item determining unit is used for determining unqualified items corresponding to the suppliers and second index information corresponding to the unqualified items according to the first index information and preset conditions;
And the improvement strategy unit is used for generating an improvement strategy corresponding to the provider according to the second index information corresponding to the unqualified item.
10. A data processing method for selecting a vendor, comprising:
acquiring identification information of a material to be purchased;
Inquiring according to the identification information to obtain a supplier for providing the material to be purchased;
Acquiring provider information corresponding to each provider;
Determining first index information corresponding to the materials to be purchased of each supplier according to the supplier information, wherein the first index information is a weighted sum of quality index information, price index information, supply guarantee index information and business index information; when the index type of the first index information is a price index type, the comprehensive evaluation model corresponding to the price index type is as follows:
；
Wherein, The method comprises the following steps: price plate evaluation score; The method comprises the following steps: cost performance evaluation scores; The method comprises the following steps: pricing satisfaction evaluation scores; the method comprises the following steps: the innovation project reduces the cost and evaluates the score;
Wherein x is a cost-reduced value;
the supply guarantee evaluation score=stop line time score×supply difficulty coefficient+emergency support score;
The stop time score = (1-T X +.t) ×100; wherein T X is the stop time of the supplier X corresponding to a certain material, and T is the total stop time of all suppliers providing the material;
The difficulty of supply coefficient is obtained by the following method: determining the quantity of material types which can be supplied by each supplier, the target supply quantity of target materials and the quantity of supply bases; determining a material type quantity ranking and a target supply ranking corresponding to each supplier; obtaining the corresponding goods coverage rate of each supplier according to the number of the goods bases and the total quantity of the goods bases; obtaining a supply difficulty coefficient for supplying the target materials to each supplier according to the material type number ranking, the target supply amount ranking and the supply coverage rate of each supplier;
and selecting a target supplier for providing the material to be purchased from the suppliers according to the first index information.
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| CN112785226A (en) * | 2021-01-15 | 2021-05-11 | 上海航天计算机技术研究所 | Material recommendation decision system and recommendation decision method |
| CN112749908A (en) * | 2021-01-15 | 2021-05-04 | 上海航天计算机技术研究所 | Supplier reliability analysis system and analysis method |
| CN112712287A (en) * | 2021-01-18 | 2021-04-27 | 南方电网深圳数字电网研究院有限公司 | Supplier distribution method, supplier distribution system, electronic equipment and storage medium |
| CN113065913A (en) * | 2021-03-12 | 2021-07-02 | 云汉芯城（上海）互联网科技股份有限公司 | Quotation processing method and device and computer storage medium |
| CN113420947A (en) * | 2021-04-08 | 2021-09-21 | 国网物资有限公司 | Evaluation method and device for electrician equipment suppliers based on Internet of things |
| CN113902467A (en) * | 2021-09-14 | 2022-01-07 | 特赞（上海）信息科技有限公司 | Method and system for matching supply and demand based on design service industry SKU, storage medium |
| CN113935684B (en) * | 2021-10-11 | 2024-11-15 | 金蝶软件（中国）有限公司 | Purchase order generation method, device, computer equipment and storage medium |
| CN114418477A (en) * | 2021-12-16 | 2022-04-29 | 百安居信息技术(上海)有限公司 | Order commodity distribution scheduling method and system based on data analysis and electronic equipment |
| CN119941361A (en) * | 2024-12-17 | 2025-05-06 | 中国电建集团西北勘测设计研究院有限公司 | Supplier recommendation method and device, computer program product, and electronic device |
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