Supply and demand data dynamic optimization system and method based on full life cycle

Abstract

The invention relates to the technical field of supply and demand data matching, and discloses a supply and demand data dynamic optimization system and method based on a full life cycle, and the system comprises a decision module, a data analysis module, a supply module and a storage and transportation module. Analyzing the supply portal information and the appeal portal information in real time to obtain layout analysis data appeal information; evaluating and sorting the layout analysis data according to the appeal information to obtain a plurality of supply sorting tables; constructing an initial supply and demand plan according to the supply sorting table and the demand information, and inputting the initial supply and demand plan into a supply portal for rationality analysis to obtain dynamic adjustment data; the initial supply and demand plan is updated according to the dynamic adjustment data, the supply portal constructs a production list according to the target supply and demand plan, and the appeal portal generates storage data and a transportation plan according to the production list. According to the method, all data of the supply and demand parties are matched and optimized by constructing a full-period supply and demand management architecture, so that the supply and demand matching efficiency is improved.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of supply and demand data matching, and particularly relates to a supply and demand data dynamic optimization system and method based on a whole life cycle. BACKGROUND

[0002] With the continuous fine management of individual users and organizations, in the existing product management scene, the management of the core product supply chain plays a crucial role in product control and product reputation.

[0003] However, the existing product management process only targets one party, which leads to the fact that the information of the supply and demand parties cannot be coordinated with each other, thereby causing data barriers between the supply and demand parties and unbalanced supply and demand relationships.

[0004] Therefore, the prior art still needs to be improved and developed. SUMMARY

[0005] The main purpose of the present application is to provide a supply and demand data dynamic optimization system and method based on a whole life cycle, aiming to solve the problem of data barriers in the management of supply and demand data in the prior art, thereby causing the uncoordinated and unbalanced supply and demand data.

[0006] To achieve the above-mentioned purpose, the present application provides a supply and demand data dynamic optimization system based on a whole life cycle, wherein the supply and demand data dynamic optimization system based on a whole life cycle comprises: a decision module, a data analysis module, a supply module and a warehouse transportation module; The decision module is configured to obtain a plurality of supply portal information and demand portal information, and to perform real-time analysis on the supply portal information and the demand portal information to obtain layout analysis data of each supply portal within a preset time and demand information of a demand portal. The data analysis module is configured to evaluate each layout analysis data according to the demand information, to perform priority sorting on all evaluation results, and to obtain a plurality of supply sorting tables. The supply module is configured to construct an initial supply and demand plan according to each supply sorting table and the demand information, to input the initial supply and demand plan into a plurality of supply portals for rationality analysis, and to obtain dynamic adjustment data. The warehouse transportation module is configured to update the initial supply and demand plan according to the dynamic adjustment data to obtain a target supply and demand plan, and to construct a production list according to the target supply and demand plan, and to generate warehouse data and a transportation plan according to the production list.

[0007] The supply and demand data dynamic optimization system based on a whole life cycle, wherein the decision module comprises an information acquisition unit, a supply information analysis unit and a demand information analysis unit. The appeal information includes product demand quantity, product demand time, product budget and product type information; The information acquisition unit is configured to acquire a plurality of supply portal information input by a plurality of supply portals and appeal portal information input by an appeal portal; The supply information analysis unit is configured to analyze each of the supply portal information, generate warehouse data, daily output data, product cost and a plurality of product types of each of the supply portals within a supply cycle, and construct layout analysis data of the supply portals within a current supply cycle according to the warehouse data, the daily output data and all the product types. The appeal information analysis unit is configured to analyze the appeal portal information, and generate the product demand quantity, the product demand time, the product budget and the product type information of the appeal portal.

[0008] The supply and demand data dynamic optimization system based on the whole life cycle, wherein the data analysis module comprises a product sorting unit, a supply speed sorting unit and a cost sorting unit. The supply sorting table comprises a product sorting table, a supply speed sorting table and a cost sorting table. The product sorting unit is configured to analyze all the product types of each of the supply portals and warehouse quantity of each of the product types, sort all products of all the supply portals according to the product type information and the product demand quantity, and obtain the product sorting table of each of the supply portals. The supply speed sorting unit is configured to prioritize the daily output data of each of the supply portals according to the product demand time, and obtain the supply speed sorting table of each of the supply portals. The cost sorting unit is configured to sort each of the products according to the product cost of each of the supply portals and the product budget of the appeal portal, and obtain the cost sorting table of each of the supply portals.

[0009] The supply and demand data dynamic optimization system based on the whole life cycle, wherein the product sorting unit comprises a supply portal screening subunit, a product screening subunit, a level definition subunit and a storage sorting subunit. The supply portal screening subunit is configured to acquire registration information of each of the initial supply portals, screen all the registration information according to a blacklist of the appeal portal, and obtain a plurality of screened supply portals. The product screening subunit is configured to acquire product standard information of all the appeal portals, screen all products of all the product types of each of the supply portals according to the product standard information, and obtain qualified products. The level defining subunit is configured to rank each product type of each supply portal according to all product types of each supply portal and the storage amount of the corresponding qualified products, so as to obtain a storage level of each supply portal on each product type. The storage ranking subunit is configured to construct a corresponding product ranking table according to the storage levels of all supply portals for each product type.

[0010] The full-life-cycle-based supply-demand data dynamic optimization system, wherein the supply speed ranking unit comprises a time sequence division subunit, a first speed ranking subunit, a second speed ranking subunit, a third speed ranking subunit, a fourth speed ranking subunit, and a list subunit. The time sequence division subunit is configured to divide the supply portal into a first time sequence level if the daily output data of the product type of the supply portal is less than the product demand time, or divide the supply portal into a second time sequence level otherwise. The first speed ranking subunit is configured to divide the supply speed of the supply portal into a first speed level if the supply portal is of the first time sequence level and the storage level of the supply portal is greater than the average storage level for each product type. The second speed ranking subunit is configured to divide the supply speed of the supply portal into a second speed level if the supply portal is of the first time sequence level and the storage level of the supply portal is not greater than the average storage level for each product type. The third speed ranking subunit is configured to divide the supply speed of the supply portal into a third speed level if the supply portal is of the second time sequence level and the storage level of the supply portal is not greater than the average storage level for each product type. The fourth speed ranking subunit is configured to divide the supply speed of the supply portal into a fourth speed level if the supply portal is of the second time sequence level and the storage level of the supply portal is greater than the average storage level for each product type. The list subunit is configured to rank all supply portals according to the first speed level, the second speed level, the third speed level, and the fourth speed level for each product type, so as to obtain the supply speed ranking table.

[0011] The full life cycle based supply and demand data dynamic optimization system, wherein the supply module comprises a rule making unit, a supply portal screening unit, an information feedback unit and a data adjustment unit; the dynamic adjustment data comprises a target product demand range, a target product demand time period and a target product budget range; The rule making unit is configured to determine product weight, supply speed weight and cost weight of the appeal portal according to the appeal information, and to make a receiving rule of the appeal portal according to the product weight, the supply speed weight and the cost weight; The supply portal screening unit is configured to re-screen all the supply portals in the product ranking table, the supply speed ranking table and the cost ranking table according to the receiving rule, to obtain a plurality of initial supply portals; The information feedback unit is configured to input the product demand, the product demand time, the product budget and the product category information into each initial supply portal for rationality analysis, and each initial supply portal outputs supply feedback information; The data adjustment unit is configured to input each supply feedback information into the appeal portal to update the product demand, the product demand time and the product budget, to obtain the target product demand range, the target product demand time period and the target product budget range.

[0012] The full life cycle based supply and demand data dynamic optimization system, wherein the warehouse transportation module comprises a plan updating unit, a supply portal re-screening unit, a product production unit and a product storage and transportation unit; The plan updating unit is configured to update the initial supply and demand plan according to the target product demand range, the target product demand time period, the target product budget range and the product category information, to obtain a target supply and demand plan; The supply portal re-screening unit is configured to re-screen all the initial supply portals according to the target supply and demand plan, to obtain a plurality of target supply portals; The product production unit is configured to construct a production list according to the target supply and demand plan for each target supply portal, and to generate a plurality of products according to the production list; The product storage and transportation unit is configured to construct warehouse data and transportation plans corresponding to each target supply portal according to all the products of each target supply portal.

[0013] In addition, the present application also provides a full life cycle based supply and demand data dynamic optimization method based on a full life cycle based supply and demand data dynamic optimization system, wherein the full life cycle based supply and demand data dynamic optimization method comprises: The decision module obtains multiple supply portal information and appeal portal information, and performs real-time analysis on the supply portal information and the appeal portal information to obtain layout analysis of each supply portal within a preset time and appeal information of the appeal portal; The data analysis module evaluates each layout analysis data according to the appeal information, prioritizes all evaluation results, and obtains multiple supply sorting tables; The supply module constructs an initial supply and demand plan according to each supply sorting table and the appeal information, inputs the initial supply and demand plan into multiple supply portals for rationality analysis, and obtains dynamic adjustment data; The transportation module updates the initial supply and demand plan according to the dynamic adjustment data to obtain a target supply and demand plan, and multiple supply portals construct a production list according to the target supply and demand plan, and the appeal portal generates warehouse data and a transportation plan according to the production list.

[0014] The full-life-cycle-based supply and demand data dynamic optimization method of the full-life-cycle-based supply and demand data dynamic optimization system, wherein the transportation module updates the initial supply and demand plan according to the dynamic adjustment data to obtain a target supply and demand plan, and multiple supply portals construct a production list according to the target supply and demand plan, and the appeal portal generates warehouse data and a transportation plan according to the production list, and then further comprises: Randomly sampling each product type of each target supply portal, and performing quality inspection on multiple sampled products to obtain a quality inspection result corresponding to each target supply portal; If the quality inspection result does not meet the product specification index of the appeal portal, corresponding product early warning information is generated according to the quality inspection result, and the product early warning information is sent to the corresponding target supply portal; Each target supply portal generates a corresponding product compensation plan according to the corresponding product early warning information, and sends each product compensation plan to the appeal portal.

[0015] The full-life-cycle-based supply and demand data dynamic optimization method of the full-life-cycle-based supply and demand data dynamic optimization system, wherein the appeal portal generates warehouse data and a transportation plan according to the production list, and specifically comprises: Inputting the production list into each target supply portal to generate a batch plan for product production; Inputting the batch plan of each target supply portal into the appeal portal to generate warehouse data and a transportation plan for each product type.

[0016] The full life cycle based supply and demand data dynamic optimization system of the application comprises a decision module, a data analysis module, a supply module and a warehouse transportation module; real-time analysis is performed on supply portal information and demand portal information to obtain layout analysis data demand information; the layout analysis data is evaluated and sorted according to the demand information to obtain a plurality of supply sorting tables; an initial supply and demand plan is constructed according to the supply sorting table and the demand information, and input into the supply portal for rationality analysis to obtain dynamic adjustment data; the initial supply and demand plan is updated according to the dynamic adjustment data, the supply portal constructs a production list according to the target supply and demand plan, and the demand portal generates warehouse data and a transportation plan according to the production list. The application matches and optimizes all data of the supply and demand parties by constructing a full cycle supply and demand management framework to improve the efficiency of supply and demand matching. BRIEF DESCRIPTION OF DRAWINGS

[0017] Figure 1 is a principle structure diagram of the full life cycle based supply and demand data dynamic optimization system of the application; Figure 2 is another specific principle structure diagram of the full life cycle based supply and demand data dynamic optimization system of the application; Figure 3 is a supply coordination and warehouse flow chart of the full life cycle based supply and demand data dynamic optimization system of the application; Figure 4 is a supply management flow chart of the full life cycle based supply and demand data dynamic optimization system of the application; Figure 5 is a processing flow schematic diagram in a preferred embodiment of the full life cycle based supply and demand data dynamic optimization method of the full life cycle based supply and demand data dynamic optimization system of the application. DETAILED DESCRIPTION

[0018] In order to make the object, technical scheme and advantages of the application more clear and explicit, the application is further described in detail below with reference to the drawings and examples. It should be understood that the specific examples described herein are only used to explain the application and do not limit the application.

[0019] It should be noted that if the application examples involve directional indications (such as up, down, left, right, front, back, etc.), the directional indications are only used to explain the relative position relationship, movement condition, etc. between the components in a certain posture (as shown in the drawings), and if the certain posture changes, the directional indications also change accordingly.

[0020] In addition, if the description of "first", "second" and the like is involved in the embodiments of the present application, the description of "first", "second" and the like is only for the purpose of description, and cannot be understood as indicating or implying the relative importance of the indicated technical features or implicitly indicating the number of the indicated technical features. Therefore, the features limited by "first", "second" can be explicitly or implicitly included at least one of the features. In addition, the technical solutions of various embodiments can be combined with each other, but it must be based on the realization of ordinary skilled in the art, when the combination of technical solutions appears contradictory or unachievable, it should be considered that the combination of technical solutions does not exist, also not within the protection scope required by the present application.

[0021] One embodiment of the full life cycle based supply and demand data dynamic optimization system described in the preferred embodiment of the present application comprises, as shown in Figure 1 The full life cycle based supply and demand data dynamic optimization system comprises a decision module 10, a data analysis module 20, a supply module 30 and a warehouse transportation module 40.

[0022] For the existing supply chain management platform, it is generally managed for one party (i.e. only managing the supply side or only managing the demand side), which will lead to data barriers between the supply side and the demand side, and any party cannot make timely adjustments according to the real-time changes of the data of the other party; therefore, the present application proposes a new solution, in order to ensure the full life cycle closed loop of the supply chain management of the supply side and the demand side, a new full life cycle management platform of the supply chain management is constructed, which breaks the data barriers between the supply side and the demand side, and realizes the data monitoring of the whole cycle of the product.

[0023] The decision module 10 is used for acquiring a plurality of supply portal information and demand portal information, and performing real-time analysis on the supply portal information and the demand portal information to obtain layout analysis data of each supply portal within a preset time and demand information of a demand portal; the data analysis module 20 is used for evaluating each layout analysis data according to the demand information, prioritizing all evaluation results to obtain a plurality of supply sorting tables; the supply module 30 is used for constructing an initial supply and demand plan according to each supply sorting table and the demand information, and inputting the initial supply and demand plan into a plurality of supply portals for rationality analysis to obtain dynamic adjustment data; and the warehouse transportation module 40 is used for updating the initial supply and demand plan according to the dynamic adjustment data to obtain a target supply and demand plan, and a plurality of supply portals construct a production list according to the target supply and demand plan, and a demand portal generates warehouse data and a transportation plan according to the production list.

[0024] As shown in Figure 2As shown, another specific embodiment of the full life cycle-based supply and demand data dynamic optimization system in the embodiment of the present application includes a decision module 10, a data analysis module 20, a supply module 30, and a warehouse transportation module 40.

[0025] Wherein, for individuals or organizations that need to provide goods sources to the appeal portal, they can register through the supply chain platform to become different supply portals, such as Figure 3 As shown, input the supply portal information on the platform, which can become a supply portal, and then classify the supply portal information; further, for the appeal portal, the appeal project can be published, and the multiple supply portal information can be screened according to the appeal project, so as to realize the source seeking and establish the contact with the corresponding supply portal.

[0026] Specifically, the decision module 10 includes an information acquisition unit 101, a supply information analysis unit 102, and an appeal information analysis unit 103. The information acquisition unit 101 is used to acquire multiple supply portal information input by multiple supply portals and appeal portal information input by the appeal portal; the supply information analysis unit 102 is used to analyze each supply portal information, generate the warehouse data, daily output data, product cost, and multiple product types of each supply portal in a supply cycle, and construct the layout analysis data of the supply portal in the current supply cycle according to the warehouse data, the daily output data, and all product types; the appeal information analysis unit 103 is used to analyze the appeal portal information, and generate the product demand amount, product demand time, product budget, and product type information of the appeal portal.

[0027] Wherein, the appeal information includes product demand amount, product demand time, product budget, and product type information. After the appeal information of the appeal portal is determined, multiple supply portals meeting the requirements are screened from the classified supply portals according to the appeal information, and then the supply portal information of these supply portals is analyzed to determine the goods supply data of these supply portals in a supply cycle, such as goods output, goods transportation speed, warehouse capacity, product cost, and product type, etc. Through these data, the appeal portal reselects each supply portal, thereby improving the matching degree of the supply and demand parties.

[0028] Further, the data analysis module 20 comprises a product sorting unit 201, a supply speed sorting unit 202 and a cost sorting unit 203. The product sorting unit 201 is configured to analyze all product types of each supply portal and the storage amount of each product type, and sort all products of all supply portals according to the product category information and the product demand amount, to obtain the product sorting table of each supply portal. The supply speed sorting unit 202 is configured to prioritize the daily output data of each supply portal according to the product demand time, to obtain the supply speed sorting table of each supply portal. The cost sorting unit 203 is configured to sort each product according to the product cost of each supply portal and the product budget of the appeal portal, to obtain the cost sorting table of each supply portal.

[0029] The supply sorting table comprises the product sorting table, the supply speed sorting table and the cost sorting table. For each supply portal, the platform constructs different sorting tables according to all the registered supply portal information of the supply portal, for example, the product sorting table of each product is constructed according to the product amount, and the supply speed sorting table is constructed based on each product sorting table and the transportation speed of each product. Similarly, the corresponding cost sorting table is constructed based on the product sorting table. Further, the cost sorting table, the transportation speed and the product amount (the product amount is the demand amount of a certain product required by the appeal portal) of each product can be used to construct the corresponding cost-effectiveness sorting table of each product (the sorting table includes but is not limited to this).

[0030] Further, the appeal portal publishes an appeal message on the supply chain management platform, and then the specific requirements in the appeal message are approved. The approval standard can also refer to the sorting table of all supply portals to generate the specific demand of the appeal portal, and then generate the corresponding receiving rules (including product cost, product category and corresponding product demand amount, etc. product information) according to the demand of the appeal portal.

[0031] Further, the product sorting unit 201 comprises: a supply portal screening sub-unit 2011, a product screening sub-unit 2012, a level defining sub-unit 2013, and a storage sorting sub-unit 2014. The supply portal screening sub-unit 2011 is configured to obtain registration information of each initial supply portal, screen all the registration information according to a blacklist of the appeal portal, and obtain a plurality of screened supply portals. The product screening sub-unit 2012 is configured to obtain product standard information of all the appeal portals, screen all products of all product types of each supply portal according to the product standard information, and obtain qualified products. The level defining sub-unit 2013 is configured to perform hierarchical sorting for each product type of each supply portal according to all product types of each supply portal and storage quantities of corresponding qualified products, and obtain storage levels of each supply portal on each product type. The storage sorting sub-unit 2014 is configured to, for each product type, construct a corresponding product sorting table according to storage levels of all supply portals.

[0032] In the matching of the appeal portal with the supply portal, first, the supply portals that do not meet the requirements are screened out according to the blacklist of the appeal portal (correspondingly, if the supply portal needs to be matched with the appeal portal, the supply portals that do not meet the requirements are also screened out according to the blacklist information of the supply portal), then the remaining supply portals and the related information of each product of each supply portal are screened to obtain qualified products that meet the requirements of the appeal portal, and finally, the qualified product data of each product is used to first perform grading (i.e., the level of magnitude), and then, for different magnitudes, the production of each product is sorted.

[0033] Further, for each product, two sorting lists of different magnitudes are generated. If the capacity of the product of a supply portal exceeds a preset value, the supply portal is placed in the product sorting table of high magnitude. If the capacity of the product of a supply portal does not exceed the preset value, the supply portal is placed in the product sorting table of low magnitude. The appeal portal can first select the product sorting table of different magnitudes according to the product demand of the appeal portal, and then select a suitable supply portal as the supply side of the product according to other screening conditions.

[0034] Further, the supply speed sorting unit 202 comprises a time sequence division subunit 2021, a first speed sorting subunit 2022, a second speed sorting subunit 2023, a third speed sorting subunit 2024, a fourth speed sorting subunit 2025, and a list subunit 2026. The time sequence division subunit 2021 is configured to divide the supply portal into a first time sequence level if there is daily output data of the product type of the supply portal less than the product demand time, and otherwise, divide the supply portal into a second time sequence level; the first speed sorting subunit 2022 is configured to divide the supply speed of the supply portal into a first speed level for each product type if the supply portal is of the first time sequence level and the storage level of the supply portal is greater than the average storage level; the second speed sorting subunit 2023 is configured to divide the supply speed of the supply portal into a second speed level for each product type if the supply portal is of the first time sequence level and the storage level of the supply portal is not greater than the average storage level; the third speed sorting subunit 2024 is configured to divide the supply speed of the supply portal into a third speed level for each product type if the supply portal is of the second time sequence level and the storage level of the supply portal is not greater than the average storage level; the fourth speed sorting subunit 2025 is configured to divide the supply speed of the supply portal into a fourth speed level for each product type if the supply portal is of the second time sequence level and the storage level of the supply portal is greater than the average storage level; and the list subunit 2026 is configured to sort all the supply portals according to the first speed level, the second speed level, the third speed level, and the fourth speed level for each product type to obtain the supply speed sorting table.

[0035] In which, the supply speed of each supply portal for each product can be divided into four levels according to the daily transportation speed and the storage amount. First, the storage amount of each product is judged, if the storage amount of the supply portal for the product is higher than the average storage level, it is defined as the high order storage level, and if it is lower than the average storage level, it is defined as the low order storage level; then the daily transportation speed of the supply portal for the product is judged, and divided into a first time sequence level (indicating a faster daily transportation speed) and a second time sequence level (indicating a slower daily transportation speed), based on the two time sequence levels and the two storage levels, the supply speed of each supply portal for each product can be sorted to obtain the supply speed sorting table of each product.

[0036] Further, the supply module 30 comprises a rule making unit 301, a supply portal screening unit 302, an information feedback unit 303 and a data adjusting unit 304. The rule making unit 301 is configured to determine product weight, supply speed weight and cost weight of the appeal portal according to the appeal information, and make the receiving rules of the appeal portal according to the product weight, the supply speed weight and the cost weight. The supply portal screening unit 302 is configured to re-screen all the supply portals in the product sorting table, the supply speed sorting table and the cost sorting table according to the receiving rules, to obtain a plurality of initial supply portals. The information feedback unit 303 is configured to input the product demand quantity, the product demand time, the product budget and the product category information into each of the initial supply portals for rationality analysis, and each of the initial supply portals outputs supply feedback information. The data adjusting unit 304 is configured to input each of the supply feedback information into the appeal portal, to update the product demand quantity, the product demand time and the product budget, to obtain the target product demand quantity range, the target product demand time period and the target product budget range.

[0037] The dynamic adjustment data comprises the target product demand quantity range, the target product demand time period and the target product budget range. According to the product sorting table, the supply speed sorting table and the cost sorting table of each product, the appeal information can weight the three attributes of the product according to the demand, and further fuse each information, to realize the comprehensive analysis of the product, to obtain the product supply party with higher matching degree. After narrowing the selection range of the supply portal, according to the product demand information of the supply portal, the receiving rules made can be modified accordingly, to adjust the range of these rules, for example, to adjust the value of 10% on the number, speed and other information of each product information, to improve the matching degree with the supply portal, to provide suitable supply and demand planning for both supply and demand parties.

[0038] Further, based on the adjusted product demand information, all initial supply portals are finally screened to determine the corresponding supply portal for each product; through information analysis and multiple rounds of comparison between the appeal portal and the supply portal, the efficiency of the appeal portal in completing the procurement project is improved, and suitable objects are provided for both the supply and demand sides; wherein, the provision of suitable objects for both the supply and demand sides is not only based on product cost, but also considers the completion time of the entire procurement project, the matching degree of both sides, and preferentially selects the supply and demand sides with equivalent product storage and product demand for matching, which can effectively avoid inventory backlog or shortage of the supply side, significantly reduce inventory holding costs (such as warehousing fees and capital occupation) and shortage costs (such as emergency procurement premium), and at the same time, precise matching of supply and demand can ensure timely delivery of orders, reduce shortage or delay problems, and improve the experience of the appeal portal; through dynamic balance, the optimization of cost, efficiency and customer experience is achieved, and at the same time, the risk resistance of the supply chain disclosed by the present application is enhanced.

[0039] Further, the warehousing and transportation module 40 includes a plan updating unit 401, a supply portal rescreening unit 402, a product production unit 403, and a product storage and transportation unit 404. The plan updating unit 401 is configured to update the initial supply and demand plan based on the target product demand range, the target product demand time period, the target product budget range, and the product category information to obtain a target supply and demand plan; the supply portal rescreening unit 402 is configured to rescreen all the initial supply portals based on the target supply and demand plan to obtain a plurality of target supply portals; the product production unit 403 is configured to construct a production list for each target supply portal based on the target supply and demand plan, and generate a plurality of products based on the production list; and the product storage and transportation unit 404 is configured to construct warehousing data and a transportation plan corresponding to each target supply portal based on all the products of each target supply portal.

[0040] As shown in Figure 4 , after completing the theoretical supply and demand balance, production orders for all products are generated by the appeal portal and sent to the corresponding supply portal, where they are allocated by the warehouse management system of each supply portal, and all the allocated data is sent to the supply chain management platform and the corresponding appeal portal.

[0041] Further, based on Figure 1 the full-life-cycle-based supply and demand data dynamic optimization system, the preferred embodiment of the present application is a full-life-cycle-based supply and demand data dynamic optimization method based on the full-life-cycle-based supply and demand data dynamic optimization system, as shown in Figure 5 , the full-life-cycle-based supply and demand data dynamic optimization method includes the following steps: Step S10, the decision module obtains a plurality of supply portal information and appeal portal information, and performs real-time analysis on the supply portal information and the appeal portal information to obtain layout analysis of each supply portal within a preset time and appeal information of the appeal portal.

[0042] Step S20, the data analysis module evaluates each layout analysis data according to the appeal information, prioritizes all evaluation results, and obtains a plurality of supply ranking tables.

[0043] Step S30, the supply module constructs an initial supply and demand plan according to each supply ranking table and the appeal information, inputs the initial supply and demand plan into a plurality of the supply portal for rationality analysis, and obtains dynamic adjustment data.

[0044] Step S40, the transportation module updates the initial supply and demand plan according to the dynamic adjustment data to obtain a target supply and demand plan, a plurality of the supply portal constructs a production list according to the target supply and demand plan, and the appeal portal generates warehouse data and a transportation plan according to the production list.

[0045] Further, the production list is input into each target supply portal to generate a batch plan for product production; and the batch plan of each target supply portal is input into the appeal portal to generate warehouse data and a transportation plan for each product type.

[0046] Further, each product type of each target supply portal is randomly sampled, and a plurality of sampled products are quality inspected to obtain a quality inspection result corresponding to each target supply portal; if the quality inspection result does not meet a product specification index of the appeal portal, corresponding product early warning information is generated according to the quality inspection result, and the product early warning information is sent to the corresponding target supply portal; each target supply portal generates a corresponding product compensation plan according to the corresponding product early warning information, and each product compensation plan is sent to the appeal portal.

[0047] Wherein, after each target supply portal completes production and transportation of goods, the appeal portal quality inspects each product, and if the qualified rate of a certain product does not meet the standard, a corresponding quality inspection report is generated and sent to the corresponding target supply portal, and the target supply portal generates a corresponding compensation plan, and the appeal portal judges whether to accept it, if not, the corresponding target supply portal will be put into a blacklist; if the appeal portal is very satisfied with the target supply portal, it can be put into a whitelist and selected preferentially in the next supply and demand project. Similarly, each target supply portal can score the appeal portal according to the order receiving state of the appeal portal, and if the score is too low, it can be put into a blacklist, otherwise it can be put into a whitelist, providing a basis for the next round of supply and demand matching, and continuously optimizing the subsequent supply and demand matching degree.

[0048] The application improves the efficiency of supply and demand matching by constructing a full-cycle supply and demand management architecture, matching and optimizing all data of the supply and demand sides, and solves the problem of data barriers in the prior art, thereby causing the supply and demand data to be unable to cooperate and be unbalanced.

[0049] The application provides a supply and demand data dynamic optimization system and method based on a full life cycle, which comprises a decision module, a data analysis module, a supply module and a warehouse transportation module; real-time analysis is performed on supply portal information and demand portal information to obtain layout analysis data demand information; the layout analysis data is evaluated and sorted according to the demand information to obtain a plurality of supply sorting tables; an initial supply and demand plan is constructed according to the supply sorting table and the demand information, and reasonable analysis is performed on the supply portal to obtain dynamic adjustment data; the initial supply and demand plan is updated according to the dynamic adjustment data, the supply portal constructs a production list according to the target supply and demand plan, and the demand portal generates warehouse data and a transportation plan according to the production list. The application improves the efficiency of supply and demand matching by constructing a full-cycle supply and demand management architecture, matching and optimizing all data of the supply and demand sides.

[0050] It should be noted that in this document, the terms "comprising", "including", or any other variant 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 can also include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the statement "comprising a" does not exclude the presence of additional identical elements in the process, method, article, or apparatus that includes the element.

[0051] It should be understood that the application is not limited to the above examples, and can be improved or changed by those skilled in the art according to the above description, and all these improvements and changes shall fall within the protection scope of the appended claims of the application.

Claims

1. A dynamic optimization system for supply and demand data based on the entire lifecycle, characterized in that, The dynamic optimization system based on supply and demand data throughout the entire lifecycle includes: a decision-making module, a data analysis module, a supply module, and a warehousing and transportation module; The decision module is used to acquire information from multiple supply portals and demand portals, and to perform real-time analysis on the supply portal information and the demand portal information to obtain the layout analysis data of each supply portal and the demand information of the demand portal within a preset time. The data analysis module is used to evaluate each of the layout analysis data according to the demand information, prioritize all evaluation results, and obtain multiple supply ranking tables. The supply module is used to construct an initial supply and demand plan based on each of the supply sorting tables and the demand information, and input the initial supply and demand plan into multiple supply portals for rationality analysis to obtain dynamic adjustment data; The warehousing and transportation module is used to update the initial supply and demand plan based on the dynamic adjustment data to obtain the target supply and demand plan. Multiple supply portals construct production lists based on the target supply and demand plan, and the demand portal generates warehousing data and transportation plans based on the production lists.

2. The dynamic optimization system for supply and demand data based on the entire lifecycle as described in claim 1, characterized in that, The decision-making module includes: an information acquisition unit, a supply information analysis unit, and a demand information analysis unit; The requested information includes: product demand quantity, product demand time, product budget, and product type information; The information acquisition unit is used to acquire multiple supply portal information input from multiple supply portals and request portal information input from a request portal; The supply information analysis unit is used to analyze the information of each supply portal, generate warehousing data, average daily output data, product cost and multiple product types for each supply portal in a supply cycle, and construct layout analysis data of the supply portal in the current supply cycle based on the warehousing data, the average daily output data and all the product types. The demand information analysis unit is used to analyze the demand portal information and generate the product demand quantity, product demand time, product budget and product type information of the demand portal.

3. The dynamic optimization system for supply and demand data based on the entire lifecycle as described in claim 2, characterized in that, The data analysis module includes: a product sorting unit, a supply speed sorting unit, and a cost sorting unit; The supply ranking table includes: a product ranking table, a supply speed ranking table, and a cost ranking table; The product sorting unit is used to analyze all product types and the storage quantity of each product type in each supply portal, and sort all products of all supply portals according to the product type information and the product demand, so as to obtain the product sorting table of each supply portal. The supply speed sorting unit is used to prioritize the daily output data of each supply portal according to the product demand time, and obtain the supply speed sorting table of each supply portal. The cost sorting unit is used to sort each product according to the product cost of each supply portal and the product budget of each demand portal, so as to obtain the cost sorting table of each supply portal.

4. The dynamic optimization system for supply and demand data based on the entire life cycle as described in claim 3, characterized in that, The product sorting unit includes: a supply portal filtering subunit, a product filtering subunit, a level definition subunit, and a storage sorting subunit; The supply portal filtering subunit is used to obtain the registration information of each initial supply portal, and filter all the registration information according to the blacklist of the demand portal to obtain multiple filtered supply portals. The product screening subunit is used to obtain product standard information from all demand portals, and to screen all products of all product types in each supply portal according to the product standard information to obtain qualified products. The level definition subunit is used to classify and sort each product type of each supply portal according to all product types of each supply portal and the corresponding storage volume of qualified products, so as to obtain the storage level of each supply portal for each product type. The storage sorting subunit is used to construct a corresponding product sorting table for each product type, based on the storage level of all the supply portals.

5. The dynamic optimization system for supply and demand data based on the entire lifecycle as described in claim 4, characterized in that, The supply speed sorting unit includes: a time sequence division subunit, a first speed sorting subunit, a second speed sorting subunit, a third speed sorting subunit, a fourth speed sorting subunit, and a list subunit; The time-series division subunit is used to classify the supply portal into a first time-series level if the average daily output data of the product type of the supply portal is less than the product demand time; otherwise, the supply portal is classified into a second time-series level. The first speed sorting subunit is used to classify the supply speed of the supply portal into the first speed level for each product type if there is a supply portal of the first time series level and the storage level of the supply portal is greater than the average storage level. The second speed sorting subunit is used to classify the supply speed of the supply portal into a second speed level for each product type if there is a supply portal of the first time series level and the storage level of the supply portal is not greater than the average storage level. The third speed sorting subunit is used to classify the supply speed of the supply portal into the third speed level for each product type if there is a supply portal of the second time series level and the storage level of the supply portal is not greater than the average storage level. The fourth speed sorting subunit is used to classify the supply speed of the supply portal into the fourth speed level for each product type if there is a supply portal of the second time series level and the storage level of the supply portal is greater than the average storage level. The list sub-unit is used to sort all the supply portals according to the first speed level, the second speed level, the third speed level and the fourth speed level for each product type, so as to obtain the supply speed sorting table.

6. The dynamic optimization system for supply and demand data based on the entire life cycle as described in claim 3, characterized in that, The supply module includes: a rule-making unit, a supply portal filtering unit, an information feedback unit, and a data adjustment unit; The dynamically adjusted data includes: the target product demand range, the target product demand time period, and the target product budget range; The rule-making unit is used to determine the product weight, supply speed weight, and cost weight of the appeal portal based on the appeal information, and to formulate the receiving rules of the appeal portal based on the product weight, the supply speed weight, and the cost weight. The supply portal filtering unit is used to further filter all the supply portals in the product sorting table, the supply speed sorting table, and the cost sorting table according to the receiving rules, so as to obtain multiple initial supply portals. The information feedback unit is used to input the product demand, product demand time, product budget and product type information into each initial supply portal for rationality analysis, and each initial supply portal outputs supply feedback information respectively; The data adjustment unit is used to input each of the supply feedback information into the demand portal to update the product demand quantity, the product demand time, and the product budget, so as to obtain the target product demand quantity range, the target product demand time period, and the target product budget range.

7. The dynamic optimization system for supply and demand data based on the entire lifecycle as described in claim 6, characterized in that, The warehousing and transportation module includes: a planning update unit, a supply portal re-screening unit, a product production unit, and a product storage and transportation unit; The plan update unit is used to update the initial supply and demand plan based on the target product demand range, the target product demand time period, the target product budget range, and the product type information to obtain the target supply and demand plan; The supply portal re-screening unit is used to re-screen all the initial supply portals according to the target supply and demand plan to obtain multiple target supply portals; The product production unit is used by each of the target supply portals to construct a production list according to the target supply and demand plan, and to generate multiple products according to the production list; The product storage and transportation unit is used to construct warehousing data and transportation plans corresponding to each target supply portal based on all the products of each target supply portal.

8. A method for dynamic optimization of supply and demand data based on the life-cycle supply and demand data dynamic optimization system according to any one of claims 1-7, characterized in that, The dynamic optimization method based on supply and demand data throughout the entire lifecycle includes: The decision module acquires information from multiple supply portals and demand portals, and performs real-time analysis on the supply portal information and the demand portal information to obtain the layout analysis of each supply portal and the demand information of the demand portal within a preset time. The data analysis module evaluates each of the layout analysis data based on the demand information, prioritizes all evaluation results, and obtains multiple supply ranking tables. The supply module constructs an initial supply and demand plan based on each of the supply sorting tables and the demand information, and inputs the initial supply and demand plan into multiple supply portals for rationality analysis to obtain dynamic adjustment data; The transportation module updates the initial supply and demand plan based on the dynamically adjusted data to obtain the target supply and demand plan. Multiple supply portals construct production lists based on the target supply and demand plan, and the demand portal generates warehousing data and transportation plans based on the production lists.

9. The dynamic optimization method for supply and demand data based on the entire life cycle as described in claim 8, characterized in that, The transportation module updates the initial supply and demand plan based on the dynamically adjusted data to obtain a target supply and demand plan. Multiple supply portals construct production lists based on the target supply and demand plan. The demand portal generates warehousing data and a transportation plan based on the production lists. The process then includes: For each product type of each target supply portal, random sampling is performed, and quality inspection is carried out on multiple sampled products to obtain the quality inspection results corresponding to each target supply portal; If the quality inspection results do not meet the product specification indicators of the complaint portal, then a corresponding product warning information is generated based on the quality inspection results, and the product warning information is sent to the corresponding target supply portal. Each target supply portal generates a corresponding product compensation plan based on the corresponding product warning information, and sends each product compensation plan to the request portal respectively.

10. The dynamic optimization method for supply and demand data based on the entire life cycle as described in claim 9, characterized in that, The request portal generates warehousing data and transportation plans based on the production list, specifically including: Input the production list into each of the target supply portals to generate a batch plan for the production of the products; The batch plan for each target supply portal is entered into the demand portal to generate warehousing data and transportation plans for each product category.

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