CN112464086A - Method for automatically matching and presenting specific supplier according to requirement based on big data - Google Patents
Method for automatically matching and presenting specific supplier according to requirement based on big data Download PDFInfo
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- CN112464086A CN112464086A CN202011320642.1A CN202011320642A CN112464086A CN 112464086 A CN112464086 A CN 112464086A CN 202011320642 A CN202011320642 A CN 202011320642A CN 112464086 A CN112464086 A CN 112464086A
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- 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
- G06F16/95—Retrieval from the web
- G06F16/953—Querying, e.g. by the use of web search engines
- G06F16/9535—Search customisation based on user profiles and personalisation
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- 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
- G06F16/95—Retrieval from the web
- G06F16/953—Querying, e.g. by the use of web search engines
- G06F16/9538—Presentation of query results
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- 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
- G06Q30/00—Commerce
- G06Q30/02—Marketing; Price estimation or determination; Fundraising
- G06Q30/0201—Market modelling; Market analysis; Collecting market data
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- 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
- G06Q30/00—Commerce
- G06Q30/02—Marketing; Price estimation or determination; Fundraising
- G06Q30/0201—Market modelling; Market analysis; Collecting market data
- G06Q30/0203—Market surveys; Market polls
Abstract
The invention relates to a method for automatically matching and presenting a specific supplier according to requirements based on big data, which comprises the following steps: acquiring order information and demander basic information issued by a demander; screening according to a product standard name in the order information and a category list in the supplier basic information to generate a first-level supplier list, screening according to a quality level to generate a second-level supplier list, screening according to a delivery deadline and a production period to generate a third-level supplier list, calling recent production activity conditions of the third-level supplier list, eliminating production units which cannot accept new orders at present, and generating a fourth-level supplier list; and judging whether the number of the fourth-level supplier list is within the maximum list number, if not, calling the address and screening step by step according to the administrative region level from low to high to generate a target supplier list, and each unit in the target supplier list also receives the order information. The invention can help the supply and demand parties to quickly and accurately find the business partner, and improve the efficiency and the success rate of transaction negotiation.
Description
Technical Field
The invention belongs to the technical field of B2B platforms, and particularly relates to a method for automatically matching and presenting a specific supplier according to requirements based on big data.
Background
The B2B platform is a model of electronic commerce, and is an abbreviation of Business-to-Business, or inter-enterprise electronic commerce, i.e. the exchange of products, services and information between enterprises via internet. The enterprise intranet is closely combined with the client through the B2B website, and better service is provided for the client through the quick response of the network, so that the business development of enterprises is promoted.
However, a large number of merchants are resident on the B2B platform, and when the supply and demand are needed, a lot of time is often needed to search, investigate and engage, the authenticity and validity of intermediate information grasped in the process cannot be determined, and finally the partner in conversation may not be the most appropriate and the efficiency is not good. In addition, the existing B2B platform is not beneficial to promote the supplier unit to improve the production efficiency through the methods of equipment improvement, management improvement, personnel production skill improvement, and the like.
Disclosure of Invention
In view of the defects of the prior art, the technical problem to be solved by the invention is to provide a method for automatically matching and presenting a specific supplier according to the demand based on big data, which can help the supplier and the supplier to quickly and accurately find business partners.
In order to solve the technical problems, the invention adopts the technical scheme that:
a method for automatically matching and presenting a specific supplier according to requirements based on big data specifically comprises the following steps:
s11, obtaining order information and demander basic information issued by a demander, wherein the order information comprises a product standard name, a product material and a quality level, and the demander basic information comprises a business name and a receiving address;
s12, calling the basic information of the supplier in the database, and screening and matching the basic information of the supplier according to the product standard name in the order information and the category list in the basic information of the supplier to generate a first-level supplier list;
s13, screening and matching according to the quality level in the order information and the quality level in the primary supplier list to generate a secondary supplier list;
s14, screening and matching according to the delivery deadline in the order information and the production period in the secondary supplier list to generate a tertiary supplier list;
s15, calling recent production activity conditions of all production units in the third-level supplier list, eliminating the production units which cannot accept the new orders at present, and generating a fourth-level supplier list;
s16, judging whether the number of the fourth-level supplier list is within the maximum list number, if so, terminating the screening and presenting a target supplier list, and if not, continuing the next step, wherein each unit in the target supplier list also receives the order information;
s17, calling the receiving address in the order information and the production address in the fourth-level supplier list, screening and matching in sequence according to the priority levels of the same county level, the same place level, the same province level and the adjacent province, and terminating screening when the screening result is within the preset list quantity range to generate a target supplier list, wherein each unit in the target supplier list also receives the order information.
Wherein: the quality grade comprises famous brand products, European, American, Japanese and Korean foreign trade, common brands, common foreign trade, E-commerce and market goods.
Wherein: the number range of the preset lists is set to be 3-8.
Wherein: the basic information of the supplier comprises a governing department, a production address, a category list, the quality level and the production period of each category, and the recent production activity condition comprises a production plan and a current production task process.
Wherein: in step S11, the order information further includes a product drawing package, where the product drawing package refers to various drawings of the product and the product assembly after the production and processing activities are completed, and the drawings are marked with necessary information, where the necessary information includes specification and size.
Wherein: in step S15, the working time between the deadline of the production task in progress and the delivery deadline of the new order is set to D1, the working time between the recent production plan completion date and the delivery deadline of the new order is set to D2, the production cycle for the supplier to complete the new order is set to D0, the order receiving requirement is met only if the algorithm is met between D1 and D0 and the algorithm is met between D2 and D0, and the algorithm is set to 3Di ≧ 2D 0.
Compared with the prior art, the invention has the following beneficial effects:
the screening method is based on finding out the list of the suppliers capable of completing the production task in the normal period, and then selecting and presenting the target list of the suppliers within the maximum list quantity according to the logistics transportation cost, so that the demander can conveniently and quickly find the list range of the suppliers meeting the requirements, and the order information can be accurately pushed to the supplier units meeting the requirements. In addition, in the address screening, the supplier list meeting the quantity requirement can be more accurately and quickly matched according to the step-by-step screening from low to high in the administrative region level, the target supplier list is presented to the order issuing demander, and each supplier unit on the target supplier list can also receive the order information issued by the order issuing demander, so that the supplier and demander can be helped to quickly and accurately find business partners, and the efficiency and the success rate of transaction negotiation are improved; in addition, production cycle data updating is considered in the screening process, and a provider is facilitated to try to improve the production efficiency by means of equipment improvement, management improvement, personnel production skill improvement and the like.
Detailed Description
Example 1
The embodiment provides a method for automatically matching and presenting a specific supplier according to requirements based on big data, which specifically comprises the following steps:
s11, obtaining order information and demander basic information issued by a demander, wherein the order information comprises a product standard name, a product material and a quality level, and the demander basic information comprises a business name and a receiving address; wherein: the quality grade comprises famous brand products, European, American, Japanese and Korean foreign trade, common brands, common foreign trade, E-commerce and market goods.
S12, calling the basic information of the supplier in the database, and screening and matching the basic information of the supplier according to the product standard name in the order information and the category list in the basic information of the supplier to generate a first-level supplier list;
s13, screening and matching according to the quality level in the order information and the quality level in the primary supplier list to generate a secondary supplier list;
s14, screening and matching according to the delivery deadline in the order information and the production period in the secondary supplier list to generate a tertiary supplier list;
s15, calling recent production activity conditions of all production units in the third-level supplier list, eliminating the production units which cannot accept the new orders at present, and generating a fourth-level supplier list;
s16, judging whether the number of the fourth-level supplier list is within the maximum list number, if so, terminating the screening and presenting a target supplier list, and if not, continuing the next step, wherein each unit in the target supplier list also receives the order information;
s17, calling the receiving address in the order information and the production address in the fourth-level supplier list, screening and matching in sequence according to the priority levels of the same county level, the same place level, the same province level and the adjacent province, and terminating screening when the screening result is within the preset list quantity range to generate a target supplier list, wherein each unit in the target supplier list also receives the order information. The number of the preset lists can be set to be 3-8.
The basic information of the supplier comprises a governing department, a production address, a category list, and the quality level and the production period of each category; the recent production activity condition comprises a production plan and a current production task process, and the working time length from the cutoff date of the production task in progress to the delivery deadline of the new order is set as D1Setting the working time length between the completion date of the recent production plan and the delivery deadline of the new order to be D2Setting the production cycle of the supplier to complete the new order as D0Only at D1And D0Satisfies the algorithm and D2And D0Only when the algorithm meets the order receiving requirement, the specific algorithm can be set to be 3Di≥2D0。
In step S11, the order information further includes a product drawing package, where the product drawing package refers to various drawings of the product and the product assembly after the production and processing activities are completed, and the drawings are marked with necessary information such as specification and size.
The first-level supplier list capable of producing the product is screened and matched according to the product standard name, the screening of the name is fast and accurate, and the subsequent multi-level screening and matching is to narrow the range in the first-level supplier list layer by layer until reaching the target supplier list, wherein the second-level supplier list is screened and matched according to the quality level, the third-level supplier list is screened and matched according to the production period, and the fourth-level supplier list is screened and matched according to the recent production activity condition. Because the magnitude of order is smaller after the screening of the product standard name, the quality level and the production period, the recent production activity condition of each unit is respectively called in the third-level supplier list, the calculated amount is reduced, the calculating speed is improved, when the quantity in the fourth-level supplier list is within the maximum list quantity of the preset target supplier list, the screening is stopped, otherwise, the screening is continued according to the address until the quantity is within the quantity range of the preset list.
The screening method of the embodiment is based on finding out the list of the suppliers capable of completing the production task within the normal period, and then selecting and presenting the target list of the suppliers within the maximum list quantity according to the logistics transportation cost, so that the demander can conveniently and quickly find the list range of the suppliers meeting the requirements, and can also accurately push the order information to the supplier units meeting the requirements. In addition, in the address screening, the supplier lists meeting the quantity requirements can be matched more accurately and quickly by screening from low to high according to the administrative region level. It should be noted that the production cycle in the supplier basic information is updated according to the actual production cycle historical data of the product types corresponding to the supplier unit production, the actual production cycle data is collected through a production cycle production line, and the updating of the production cycle data is beneficial to promoting the supplier to try to improve the production efficiency through equipment improvement, management improvement, personnel production skill improvement and other modes.
Example 2
This embodiment differs from embodiment 1 described above only in that: step S17 is not executed after step S16, and step S18 is executed, where step S18 is executed to retrieve the shipping address in the order information and the production address in the fourth-level supplier list, and each administrative region list is screened, matched and displayed according to the same county level, the same place level, the same province level and the whole country, so that the demander selects the cooperative supplier according to the administrative region level, and each unit in the fourth-level supplier list receives the order information.
On the basis of the above-mentioned embodiments 1 and 2, the method of the present invention further comprises the step S19: and acquiring and displaying the performance evaluation value under the product standard name of each supplier unit in the target supplier list, and assisting the order issuing demander to judge and accept or reject each supplier unit in the target supplier list through the performance evaluation value, so that the supplier unit is promoted to pay attention to the production efficiency and quality.
As a preferable example of the calculation method of the performance evaluation value: the method comprises the steps of S31, obtaining evaluation factors of each supplier within a specified period, wherein the evaluation factors comprise total standard working hours, average efficiency normalized values and loss rates; and a step S32 of giving a weight corresponding to each evaluation factor and calculating an output performance evaluation value according to an algorithm.
In step S31, the total standard labor hour refers to the total standard labor hour of the supplier completing the historical order under the product standard name, the data is directly obtained from the platform, and the standard labor hour amount and the trading result of the order that each supplier completes the trade are stored in the database of the platform; the average efficiency per-unit value is the average value of actual efficiency per-unit values of historical orders under the standard name of the product finished by the supplier, the actual efficiency per-unit value of each order is the ratio of the actual production efficiency of the order to the standard production efficiency of the order, the actual production efficiency of the order is the ratio of the total amount of workload of the order to the total actual working hours for finishing the order, the standard production efficiency of the order is the ratio of the total amount of workload of the order to the total standard working hours for releasing the order, and the total actual working hours are obtained by a platform receiving working hour data collected and sent by a beat production line terminal of the supplier; the loss rate is the ratio of the actual consumption of the raw materials to the theoretical consumption of the raw materials, the theoretical consumption of the raw materials is calculated by the platform according to order information, and the actual consumption of the raw materials is obtained by the in-and-out database data collected and sent by the platform collection supplier warehouse terminal.
In step S32, an evaluation weight of the total standard man-hours is set to a, an evaluation weight of the average efficiency per-unit value is set to B, an evaluation weight of the loss rate is set to C, the total standard man-hours is set to X, the evaluation efficiency per-unit value is set to Y, the loss rate is set to Z, the algorithm is M ═ a × X-B × Y-C × Z, and the smaller the loss rate and the average efficiency per-unit value is, the larger the total standard man-hours is, the larger the evaluation result value is. Wherein: the evaluation weight a is maximum.
While there have been shown and described what are at present considered the fundamental principles and essential features of the invention and its advantages, it will be understood by those skilled in the art that the invention is not limited by the embodiments described above, which are merely illustrative of the principles of the invention, but that various changes and modifications may be made therein without departing from the spirit and scope of the invention as defined by the appended claims and their equivalents.
Claims (9)
1. A method for automatically matching and presenting a specific supplier according to requirements based on big data is characterized in that: the method comprises the following steps:
s11, obtaining order information and demander basic information issued by a demander, wherein the order information comprises a product standard name, a product material and a quality level, and the demander basic information comprises a business name and a receiving address;
s12, calling the basic information of the supplier in the database, and screening and matching the basic information of the supplier according to the product standard name in the order information and the category list in the basic information of the supplier to generate a first-level supplier list;
s13, screening and matching according to the quality level in the order information and the quality level in the primary supplier list to generate a secondary supplier list;
s14, screening and matching according to the delivery deadline in the order information and the production period in the secondary supplier list to generate a tertiary supplier list;
s15, calling recent production activity conditions of all production units in the third-level supplier list, eliminating the production units which cannot accept the new orders at present, and generating a fourth-level supplier list;
s16, judging whether the number of the fourth-level supplier list is within the maximum list number, if so, terminating the screening and presenting a target supplier list, and if not, continuing the next step, wherein each unit in the target supplier list also receives the order information;
s17, calling the receiving address in the order information and the production address in the fourth-level supplier list, screening and matching in sequence according to the priority levels of the same county level, the same place level, the same province level and the adjacent province, and terminating screening when the screening result is within the preset list quantity range to generate a target supplier list, wherein each unit in the target supplier list also receives the order information.
2. The method for automatically matching and presenting specific suppliers according to requirements based on big data according to claim 1, characterized in that: the quality grade comprises famous brand products, European, American, Japanese and Korean foreign trade, common brands, common foreign trade, E-commerce and market goods.
3. The method for automatically matching and presenting specific suppliers according to requirements based on big data according to claim 1, characterized in that: the number range of the preset lists is set to be 3-8.
4. The method for automatically matching and presenting specific suppliers according to requirements based on big data according to claim 1, characterized in that: in step S11, the order information further includes a product drawing package, where the product drawing package refers to various drawings of the product and the product assembly after the production and processing activities are completed, and the drawings are marked with necessary information.
5. The method for automatically matching and presenting specific suppliers according to the demands based on big data according to claim 4, characterized in that: the necessary information includes specification and size.
6. The method for automatically matching and presenting specific suppliers according to requirements based on big data according to claim 1, characterized in that: the basic information of the supplier comprises a governing department, a production address, a category list, the quality level and the production period of each category, and the recent production activity condition comprises a production plan and a current production task process.
7. The method for automatically matching and presenting specific suppliers according to requirements based on big data according to claim 6, characterized in that: in step S15, the working time length from the production task cutoff date to the delivery deadline of the new order is set to D1Setting the working time length between the completion date of the recent production plan and the delivery deadline of the new order to be D2Setting the supplyThe production cycle for completing the new order is D0Only at D1And D0Satisfies the algorithm and D2And D0The algorithm is satisfied to meet the order receiving requirement.
8. The method for automatically matching and presenting specific suppliers according to the needs based on big data according to claim 7, characterized in that: the algorithm is set to 3Di≥2D0。
9. The method for automatically matching and presenting specific suppliers according to the demands based on big data according to any one of claims 1 to 8, characterized in that: the method further includes step S19: and acquiring and displaying the performance evaluation value under the product standard name of each supplier unit in the target supplier list.
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| CN202011320642.1A CN112464086A (en) | 2020-11-23 | 2020-11-23 | Method for automatically matching and presenting specific supplier according to requirement based on big data |
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Application publication date: 20210309 |