CN115829190B - Big data-based supply chain management system and method - Google Patents
Big data-based supply chain management system and method Download PDFInfo
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Abstract
The invention relates to the technical field of big data, in particular to a big data-based supply chain management system and method, comprising the steps of capturing all production accessory information required to be purchased externally in a production and processing flow for each production service respectively; extracting characteristic information of each target production accessory in each production service respectively; respectively identifying and extracting target production accessories with storage association relations in all target production accessories of each production service branch line; performing association verification in each associated fitting set, and performing warehouse planning on each warehouse space area for fitting storage in the target enterprise based on the associated fitting set distribution information obtained after the association verification; and integrating all the digital supply chains corresponding to all the target production accessories planned to be stored in the same warehouse space region into the same management center for supply chain information management.
Description
Technical Field
The invention relates to the technical field of big data, in particular to a supply chain management system and method based on big data.
Background
For some manufacturing enterprises, raw materials to be purchased outwards are often of various types in the process of obtaining a product through production and processing, storage conditions required by different raw materials are often different, if different storage regions are allocated to different raw materials according to a conventional method based on different storage conditions, the maximum utilization of storage space cannot be realized, and the workload of storage management staff in the process of carrying out warehouse entry and warehouse exit management on the raw materials can be increased to a certain extent;
the digital supply chain is characterized in that all links in the supply chain are completed on an Internet platform, the improvement of efficiency is realized according to timeliness and bidirectionality of the Internet, and if the digital supply chain constructed by the raw materials and the production procedures participated by the raw materials are comprehensively considered, the flexible scheduling management of the effective storage space area is realized, so that a great number of storage problems can be solved for most manufacturing enterprises, and the storage cost is reduced.
Disclosure of Invention
The present invention is directed to a supply chain management system and method based on big data, so as to solve the problems set forth in the background art.
In order to solve the technical problems, the invention provides the following technical scheme: a big data based supply chain management method, the method comprising:
step S100: collecting historical production and processing flow information for production branch lines corresponding to all production businesses in a target enterprise respectively, and capturing all production accessory information required to be purchased in the production and processing flow for all production businesses respectively; setting all production accessories which need to occupy the internal storage space of the target enterprise in each production service as target production accessories in each production service, and extracting characteristic information from each target production accessory in each production service;
step S200: respectively extracting characteristic information corresponding to each target production accessory in each production service branch line, and respectively identifying and extracting target production accessories with storage association relations in all target production accessories of each production service branch line based on the characteristic information corresponding to each target production accessory;
step S300: information input is carried out on each storage space area used for accessory storage in the target enterprise; respectively gathering all target production accessories with storage association relations among all production businesses to obtain a plurality of association accessory sets corresponding to all production businesses; warehouse association relations exist among all target production accessories in each association accessory set; performing association verification in each associated fitting set, and performing warehouse planning on each warehouse space area for fitting storage in the target enterprise based on the associated fitting set distribution information obtained after the association verification;
step S400: respectively acquiring information of each link of each target production accessory from each order application to the warehousing process, and respectively constructing a plurality of historical digital supply chains corresponding to each target production accessory; and integrating all the digital supply chains corresponding to all the target production accessories planned to be stored in the same warehouse space region into the same management center for supply chain information management.
Further, step S100 includes:
step S101: when each production business is developed, extracting process information of all production processes forming corresponding production and processing processes; the process information corresponding to each production process comprises execution sequence information, object information before process execution and intermediate product information obtained after the process execution; capturing production procedures participated in by each target production accessory in each production service respectively, acquiring procedure information corresponding to the production procedures, and taking the procedure information as first characteristic information of each target production accessory in each production service;
step S102: respectively collecting storage and keeping requirements formulated by management personnel for each target production accessory in each production service based on the production process requirements of each production service; and extracting storage keywords from storage and keeping requirements corresponding to each target production accessory in each production service, and taking the storage keyword set obtained by extraction and collection as second characteristic information of each target production accessory in each production service.
Further, step S200 includes:
step S201: respectively extracting first characteristic information and second characteristic information of each target production accessory in each production service; the method comprises the steps that a target production accessory a and a target production accessory B are arranged, wherein the production procedure participated in by the target production accessory a is A, and the production procedure participated in by the target production accessory B is B; when the production process a and the production process B belong to the production process flow corresponding to a certain production business, turning to step S202;
step S202: extracting the execution sequence corresponding to the production process A based on the first characteristic information of the target production accessory a and the target production accessory b in the corresponding production business, and setting the execution sequence as P A Extracting to obtain an execution sequence corresponding to the production process B, wherein the execution sequence is set as P B The method comprises the steps of carrying out a first treatment on the surface of the Meanwhile, extracting the object information before the execution of the production process A and the intermediate product information obtained after the execution of the production process A, and extracting the object information before the execution of the production process B and the intermediate product information obtained after the execution of the production process B; based on the second characteristics of the target production fitting a and the target production fitting b in the corresponding certain production businessInformation is extracted to obtain a storage keyword set corresponding to the target production accessory a, and the storage keyword set is set as Q a Extracting and obtaining a storage keyword set corresponding to the target production accessory b, and setting the storage keyword set as Q b ；
Step S203: when P A And P B Satisfy |P A -P B |=1,Q a =Q b When the storage association relation exists between the target production accessory a and the target production accessory b, primarily judging; when |P A -P B |=1, and P A <P B If the intermediate product obtained after the execution of the production process A is an object before the execution of the production process B, judging that the production process A and the production process B have process association in the corresponding production business, and finally judging that a storage association relationship exists between the target production accessory a and the target production accessory B; when |P A -P B |=1, and P A >P B If the intermediate product obtained after the execution of the production process B is an object before the execution of the production process A, judging that the production process A and the production process B have process association in the corresponding production business, and finally judging that a storage association relationship exists between the target production accessory a and the target production accessory B;
in some product processing flows, if there is execution sequence association in some processes, and meanwhile, the corresponding storage management requirements are the same, which means that when the production accessories corresponding to the processes are purchased, flexible purchasing storage plans can be adopted, namely, the accessories can be stored in the same storage space, so that the time of purchasing and warehousing the accessories based on supply chain information is staggered, and the storage management of various production accessories in the same storage space is realized.
Further, step S300 includes:
step S301: the feedback manager evaluates the sorting difficulty value between every two target production accessories with storage association relation; traversing the number of kinds of target production accessories contained in each associated accessory set and the sorting difficulty value between every two kinds of target production accessories;
step S302: if the number of the types of the target production accessories contained in a certain associated accessory set is 2, when the sorting difficulty value between the two types of the target production accessories is smaller than a difficulty threshold value, selecting the same storage space region for the two types of the target production accessories to store; when the sorting difficulty value between the two target production accessories is greater than or equal to the difficulty threshold value, respectively selecting different storage space regions for the two target production accessories to store;
step S303: if the number of the types of the target production accessories contained in a certain associated accessory set is greater than 2, accumulating the sorting difficulty values between G1 and other target production accessories except G2 in the certain associated accessory set when the sorting difficulty value between the two types of the target production accessories G1 and G2 is greater than a difficulty threshold value, obtaining a sorting difficulty accumulated value G1, accumulating the sorting difficulty values between G2 and other target production accessories except G1 in the certain associated accessory set, obtaining a sorting difficulty accumulated value G2, comparing the values of G1 and G2, removing the target production accessories with the corresponding sorting difficulty accumulated value from the certain associated accessory set, and selecting the same storage space region H1 for all the target production accessories in the associated accessory set obtained after the removing; and selecting storage space areas except H1 for the removed target production accessories to store.
Further, step S400 includes:
step S401: capturing all suppliers responding to each historical order application of a certain target production accessory in all historical digital supply chains of the certain target production accessory, acquiring the average period duration from responding to the order application to warehousing of each supplier based on all historical digital supply chains, and calculating the delay delivery rate K=x/m of each supplier; wherein m represents the total number of transactions performed by each provider selected by the target enterprise; x represents the total number of delayed deliveries that each provider has occurred;
step S402: setting the lowest warehouse capacity for each target production accessory, when the warehouse capacity of a certain target production accessory is monitored to reach the corresponding lowest warehouse capacity in the same management center, preferentially pushing the supplier with the shortest average period duration to the corresponding management center, preferentially pushing the supplier with the smallest delay delivery rate to the corresponding management center when the difference value of the average period durations between the two suppliers is smaller than a threshold value, and storing a new digital supply chain based on the finally selected supplier in the corresponding management center;
the method can ensure that the phenomenon of production flow interruption is not caused when the production consumption abnormality occurs in the branch line of the corresponding production business.
The system comprises an information acquisition module, a characteristic information extraction module, a storage association relation identification judgment module, a storage planning management module and a supply chain information management module;
the information acquisition module is used for respectively acquiring historical production and processing flow information for production branch lines corresponding to all production businesses in the target enterprise and respectively capturing all production accessory information which is required to be purchased in the production and processing flow for all the production businesses;
the characteristic information extraction module is used for respectively setting all production accessories which correspond to each production service and relate to planning, storing and managing the internal storage space of the target enterprise as target production accessories in each production service; extracting characteristic information of each target production accessory in each production service respectively;
the storage association relation identification judging module is used for receiving the data in the characteristic information extracting module, and respectively identifying and extracting the target production accessories with the storage association relation in all the target production accessories of each production service branch line based on the characteristic information corresponding to each target production accessory;
the warehouse planning management module is used for inputting information into each warehouse space area for accessory storage in the target enterprise; respectively gathering all target production accessories with storage association relations among all production businesses to obtain a plurality of association accessory sets corresponding to all production businesses; performing association verification in each association fitting set, and performing warehouse planning on each warehouse space area for fitting storage in the target enterprise;
the supply chain information management module is used for respectively acquiring information of each link of each target production accessory in the process from each historical order application to warehousing, and respectively constructing a plurality of historical digital supply chains corresponding to each target production accessory; and integrating all the digital supply chains corresponding to all the target production accessories planned to be stored in the same warehouse space region into the same management center for supply chain information management.
Further, the storage association relationship identification and judgment module comprises a storage association relationship preliminary judgment unit and a storage association relationship verification judgment unit;
the primary judging unit of the storage association relation is used for receiving the data in the characteristic information extracting module and carrying out primary judging and identifying of the storage association relation in all target production accessories of each production service branch line;
and the storage association relation verification judging unit is used for receiving the data in the characteristic information extracting module and the data in the storage association relation preliminary judging unit and verifying the result obtained by preliminary judgment and identification.
Further, the warehouse planning management module comprises a set association checking unit and a warehouse planning management unit;
the collection association checking unit is used for collecting all target production accessories with storage association relations among all production businesses to obtain a plurality of association accessory collections corresponding to the production businesses; performing association verification in each association fitting set;
and the warehouse planning management unit is used for receiving the data in the set association checking unit and carrying out warehouse planning management on each warehouse space area used for accessory storage in the target enterprise.
Compared with the prior art, the invention has the following beneficial effects: the invention can realize the maximum utilization value of the storage space area with limited area; according to the invention, based on the relation among production procedures participated by the production accessories to be stored and the storage condition requirement required by the production accessories to be stored, the elastic storage of different production accessories to be stored in the same storage space region can be realized in the storage space region with a limited area, and the storage management efficiency is improved by effectively staggering the purchasing and warehousing time of the production accessories.
Drawings
The accompanying drawings are included to provide a further understanding of the invention and are incorporated in and constitute a part of this specification, illustrate the invention and together with the embodiments of the invention, serve to explain the invention. In the drawings:
FIG. 1 is a flow chart of a big data based supply chain management method of the present invention;
FIG. 2 is a schematic diagram of a big data based supply chain management system according to the present invention.
Detailed Description
The following description of the embodiments of the present invention will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present invention, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
Referring to fig. 1-2, the present invention provides the following technical solutions: a big data based supply chain management method, the method comprising:
step S100: collecting historical production and processing flow information for production branch lines corresponding to all production businesses in a target enterprise respectively, and capturing all production accessory information required to be purchased in the production and processing flow for all production businesses respectively; setting all production accessories which need to occupy the internal storage space of the target enterprise in each production service as target production accessories in each production service, and extracting characteristic information from each target production accessory in each production service;
wherein, step S100 includes:
step S101: when each production business is developed, extracting process information of all production processes forming corresponding production and processing processes; the process information corresponding to each production process comprises execution sequence information, object information before process execution and intermediate product information obtained after the process execution; capturing production procedures participated in by each target production accessory in each production service respectively, acquiring procedure information corresponding to the production procedures, and taking the procedure information as first characteristic information of each target production accessory in each production service;
for example, a production business is corresponding to a production line or production line for processing a certain product;
step S102: respectively collecting storage and keeping requirements formulated by management personnel for each target production accessory in each production service based on the production process requirements of each production service; extracting storage keywords from storage and keeping requirements corresponding to each target production accessory in each production service, and taking the storage keyword set obtained by extraction and collection as second characteristic information of each target production accessory in each production service;
step S200: respectively extracting characteristic information corresponding to each target production accessory in each production service branch line, and respectively identifying and extracting target production accessories with storage association relations in all target production accessories of each production service branch line based on the characteristic information corresponding to each target production accessory;
wherein, step S200 includes:
step S201: respectively extracting first characteristic information and second characteristic information of each target production accessory in each production service; the method comprises the steps that a target production accessory a and a target production accessory B are arranged, wherein the production procedure participated in by the target production accessory a is A, and the production procedure participated in by the target production accessory B is B; when the production process a and the production process B belong to the production process flow corresponding to a certain production business, turning to step S202;
step S202: extracting the execution sequence corresponding to the production process A based on the first characteristic information of the target production accessory a and the target production accessory b in the corresponding production business, and setting the execution sequence as P A Extracting to obtain an execution sequence corresponding to the production process B, wherein the execution sequence is set as P B The method comprises the steps of carrying out a first treatment on the surface of the At the same time, the information of the object before the production process A is executed and the raw objectExtracting the intermediate product information obtained after the execution of the production procedure A, the object information before the execution of the production procedure B and the intermediate product information obtained after the execution of the production procedure B; extracting a storage keyword set corresponding to the target production accessory a based on second characteristic information of the target production accessory a and the target production accessory b in the corresponding production business, and setting the storage keyword set as Q a Extracting and obtaining a storage keyword set corresponding to the target production accessory b, and setting the storage keyword set as Q b ；
Step S203: when P A And P B Satisfy |P A -P B |=1,Q a =Q b When the storage association relation exists between the target production accessory a and the target production accessory b, primarily judging; when |P A -P B |=1, and P A <P B If the intermediate product obtained after the execution of the production process A is an object before the execution of the production process B, judging that the production process A and the production process B have process association in the corresponding production business, and finally judging that a storage association relationship exists between the target production accessory a and the target production accessory B; when |P A -P B |=1, and P A >P B If the intermediate product obtained after the execution of the production process B is an object before the execution of the production process A, judging that the production process A and the production process B have process association in the corresponding production business, and finally judging that a storage association relationship exists between the target production accessory a and the target production accessory B;
step S300: information input is carried out on each storage space area used for accessory storage in the target enterprise; respectively gathering all target production accessories with storage association relations among all production businesses to obtain a plurality of association accessory sets corresponding to all production businesses; warehouse association relations exist among all target production accessories in each association accessory set; performing association verification in each associated fitting set, and performing warehouse planning on each warehouse space area for fitting storage in the target enterprise based on the associated fitting set distribution information obtained after the association verification;
wherein, step S300 includes:
step S301: the feedback manager evaluates the sorting difficulty value between every two target production accessories with storage association relation; traversing the number of kinds of target production accessories contained in each associated accessory set and the sorting difficulty value between every two kinds of target production accessories;
step S302: if the number of the types of the target production accessories contained in a certain associated accessory set is 2, when the sorting difficulty value between the two types of the target production accessories is smaller than a difficulty threshold value, selecting the same storage space region for the two types of the target production accessories to store; when the sorting difficulty value between the two target production accessories is greater than or equal to the difficulty threshold value, respectively selecting different storage space regions for the two target production accessories to store;
step S303: if the number of the types of the target production accessories contained in a certain associated accessory set is greater than 2, accumulating the sorting difficulty values between G1 and other target production accessories except G2 in the certain associated accessory set when the sorting difficulty value between the two types of the target production accessories G1 and G2 is greater than a difficulty threshold value, obtaining a sorting difficulty accumulated value G1, accumulating the sorting difficulty values between G2 and other target production accessories except G1 in the certain associated accessory set, obtaining a sorting difficulty accumulated value G2, comparing the values of G1 and G2, removing the target production accessories with the corresponding sorting difficulty accumulated value from the certain associated accessory set, and selecting the same storage space region H1 for all the target production accessories in the associated accessory set obtained after the removing; selecting storage space areas except H1 for each removed target production accessory to store;
step S400: respectively acquiring information of each link of each target production accessory from each order application to the warehousing process, and respectively constructing a plurality of historical digital supply chains corresponding to each target production accessory; all the digital supply chains corresponding to all the target production accessories which are planned to be stored in the same warehouse space area are integrated into the same management center for supply chain information management;
wherein, step S400 includes:
step S401: capturing all suppliers responding to each historical order application of a certain target production accessory in all historical digital supply chains of the certain target production accessory, acquiring the average period duration from the response order application to warehousing of each supplier based on the all historical digital supply chains, and calculating the delay delivery rate K=x/m of each supplier, wherein m represents the total number of transactions carried out by each supplier selected by a target enterprise; x represents the total number of delayed deliveries that each provider has occurred;
step S402: setting the lowest warehouse capacity for each target production accessory, when the warehouse capacity of a certain target production accessory is monitored to reach the corresponding lowest warehouse capacity in the same management center, preferentially pushing the supplier with the shortest average period duration to the corresponding management center, preferentially pushing the supplier with the smallest delay delivery rate to the corresponding management center when the difference value of the average period durations between the two suppliers is smaller than a threshold value, and storing a new digital supply chain based on the finally selected supplier in the corresponding management center;
for example, at the management center corresponding to one warehouse space region, it is monitored that the warehouse volume of the target production accessory x1 reaches the lowest warehouse volume of the target production accessory x 1; the supplier with the shortest average period duration is preferentially pushed to the corresponding management center, when the difference between the average period durations between the two suppliers is only 1 day, in order to avoid the occurrence of the phenomenon of material shortage, the supplier with the smallest delay delivery rate is preferentially selected between the two suppliers to serve as the final supplier, and order application is initiated to the final supplier;
the system comprises an information acquisition module, a characteristic information extraction module, a storage association relation identification judgment module, a storage planning management module and a supply chain information management module;
the information acquisition module is used for respectively acquiring historical production and processing flow information for production branch lines corresponding to all production businesses in the target enterprise and respectively capturing all production accessory information which is required to be purchased in the production and processing flow for all the production businesses;
the characteristic information extraction module is used for respectively setting all production accessories which correspond to each production service and relate to planning, storing and managing the internal storage space of the target enterprise as target production accessories in each production service; extracting characteristic information of each target production accessory in each production service respectively;
the storage association relation identification judging module is used for receiving the data in the characteristic information extracting module, and respectively identifying and extracting the target production accessories with the storage association relation in all the target production accessories of each production service branch line based on the characteristic information corresponding to each target production accessory;
the storage association relation identification and judgment module comprises a storage association relation preliminary judgment unit and a storage association relation verification judgment unit;
the primary judging unit of the storage association relation is used for receiving the data in the characteristic information extracting module and carrying out primary judging and identifying of the storage association relation in all target production accessories of each production service branch line;
the storage association relation verification judging unit is used for receiving the data in the characteristic information extracting module and the data in the storage association relation preliminary judging unit and verifying the result obtained by preliminary judgment and identification;
the warehouse planning management module is used for inputting information into each warehouse space area for accessory storage in the target enterprise; respectively gathering all target production accessories with storage association relations among all production businesses to obtain a plurality of association accessory sets corresponding to all production businesses; performing association verification in each association fitting set, and performing warehouse planning on each warehouse space area for fitting storage in the target enterprise;
the warehouse planning management module comprises a set association checking unit and a warehouse planning management unit;
the collection association checking unit is used for collecting all target production accessories with storage association relations among all production businesses to obtain a plurality of association accessory collections corresponding to the production businesses; performing association verification in each association fitting set;
the warehouse planning management unit is used for receiving the data in the set association checking unit and carrying out warehouse planning management on each warehouse space area used for accessory storage in the target enterprise;
the supply chain information management module is used for respectively acquiring information of each link of each target production accessory in the process from each historical order application to warehousing, and respectively constructing a plurality of historical digital supply chains corresponding to each target production accessory; and integrating all the digital supply chains corresponding to all the target production accessories planned to be stored in the same warehouse space region into the same management center for supply chain information management.
It is noted that 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.
Finally, it should be noted that: the foregoing description is only a preferred embodiment of the present invention, and the present invention is not limited thereto, but it is to be understood that modifications and equivalents of some of the technical features described in the foregoing embodiments may be made by those skilled in the art, although the present invention has been described in detail with reference to the foregoing embodiments. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present invention should be included in the protection scope of the present invention.
Claims (8)
1. A big data based supply chain management method, the method comprising:
step S100: collecting historical production and processing flow information for production branch lines corresponding to all production businesses in a target enterprise respectively, and capturing all production accessory information required to be purchased in the production and processing flow for all production businesses respectively; setting all production accessories which need to occupy the internal storage space of the target enterprise in each production service as target production accessories in each production service, and extracting characteristic information of each target production accessory in each production service;
step S200: respectively extracting characteristic information corresponding to each target production accessory in each production service branch line, and respectively identifying and extracting target production accessories with storage association relations in all the target production accessories of each production service branch line based on the characteristic information corresponding to each target production accessory;
step S300: information input is carried out on each storage space area used for accessory storage in the target enterprise; respectively gathering all target production accessories with storage association relations among all production businesses to obtain a plurality of association accessory sets corresponding to all production businesses; warehouse association relations exist among all target production accessories in each association accessory set; performing association verification in each associated fitting set, and performing warehouse planning on each warehouse space area for fitting storage in the target enterprise based on the associated fitting set distribution information obtained after the association verification;
step S400: respectively acquiring information of each link of each target production accessory from each order application to the warehousing process, and respectively constructing a plurality of historical digital supply chains corresponding to each target production accessory; and integrating all the digital supply chains corresponding to all the target production accessories planned to be stored in the same warehouse space region into the same management center for supply chain information management.
2. The big data based supply chain management method of claim 1, wherein step S100 includes:
step S101: when each production business is developed, extracting process information of all production processes forming corresponding production and processing processes; the process information corresponding to each production process comprises execution sequence information, object information before process execution and intermediate product information obtained after the process execution; capturing production procedures participated in by each target production accessory in each production service respectively, acquiring procedure information corresponding to the production procedures, and taking the procedure information as first characteristic information of each target production accessory in each production service;
step S102: respectively collecting storage and keeping requirements formulated by management personnel for each target production accessory in each production service based on the production process requirements of each production service; and extracting storage keywords from the storage and keeping requirements corresponding to each target production accessory in each production service, and taking the storage keyword set obtained by extraction and collection as second characteristic information of each target production accessory in each production service.
3. The big data based supply chain management method of claim 2, wherein step S200 includes:
step S201: respectively extracting first characteristic information and second characteristic information of each target production accessory in each production service; the method comprises the steps that a target production accessory a and a target production accessory B are arranged, wherein the production procedure participated in by the target production accessory a is A, and the production procedure participated in by the target production accessory B is B; when the production process a and the production process B belong to the production process flow corresponding to a certain production business, turning to step S202;
step S202: extracting the execution sequence corresponding to the production process A based on the first characteristic information of the target production accessory a and the target production accessory b in the corresponding production business, and setting the execution sequence as P A Extracting to obtain an execution sequence corresponding to the production process B, wherein the execution sequence is set as P B The method comprises the steps of carrying out a first treatment on the surface of the At the same time, the production process A is finished with respect to the object information before the execution of the production process AExtracting the obtained intermediate product information, the object information before the execution of the production process B and the intermediate product information after the execution of the production process B; extracting a storage keyword set corresponding to the target production accessory a based on second characteristic information of the target production accessory a and the target production accessory b in the corresponding production business, and setting the storage keyword set as Q a Extracting and obtaining a storage keyword set corresponding to the target production accessory b, and setting the storage keyword set as Q b ；
Step S203: when P A And P B Satisfy |P A -P B |＝1,Q a ＝Q b When the storage association relation exists between the target production accessory a and the target production accessory b, primarily judging; when |P A -P B |=1, and P A <P B If the intermediate product obtained after the execution of the production process A is an object before the execution of the production process B, judging that the production process A and the production process B have process association in the corresponding production business, and finally judging that a storage association relationship exists between the target production accessory a and the target production accessory B; when |P A -P B |=1, and P A >P B If the intermediate product obtained after the execution of the production process B is an object before the execution of the production process a, the process association between the production process a and the production process B in the corresponding production business is judged, and finally, the warehouse association relationship between the target production accessory a and the target production accessory B is judged.
4. A big data based supply chain management method according to claim 3, wherein step S300 comprises:
step S301: the feedback manager evaluates the sorting difficulty value between every two target production accessories with storage association relation; traversing the number of kinds of target production accessories contained in each associated accessory set and the sorting difficulty value between every two kinds of target production accessories;
step S302: if the number of the types of the target production accessories contained in a certain associated accessory set is 2, when the sorting difficulty value between the two types of the target production accessories is smaller than a difficulty threshold value, selecting the same storage space region for storing the two types of the target production accessories; when the sorting difficulty value between the two target production accessories is greater than or equal to a difficulty threshold value, respectively selecting different storage space areas for storing the two target production accessories;
step S303: if the number of the types of the target production accessories contained in a certain associated accessory set is greater than 2, when the sorting difficulty value between two kinds of target production accessories G1 and G2 is greater than a difficulty threshold, accumulating sorting difficulty values between G1 and other target production accessories except G2 in the certain associated accessory set to obtain sorting difficulty accumulated values G1, accumulating sorting difficulty values between G2 and other target production accessories except G1 in the certain associated accessory set to obtain sorting difficulty accumulated values G2, comparing the values of G1 and G2, removing the target production accessories with the corresponding sorting difficulty accumulated values from the certain associated accessory set, and selecting the same storage space region H1 for all target production accessories in the associated accessory set obtained after removal; and selecting storage space areas except H1 for the removed target production accessories to store.
5. The big data based supply chain management method of claim 4, wherein step S400 includes:
step S401: capturing all suppliers responding to each historical order application of a certain target production accessory in all historical digital supply chains of the certain target production accessory, acquiring the average period duration from responding to the order application to warehousing of each supplier based on the all historical digital supply chains, and calculating the delay delivery rate K=x/m of each supplier; wherein m represents the total number of transactions performed by each provider selected by the target enterprise; x represents the total number of delayed deliveries that each provider has occurred;
step S402: setting the lowest warehouse volume for each target production accessory, when the warehouse volume of a certain target production accessory is monitored to reach the corresponding lowest warehouse volume in the same management center, preferentially pushing the supplier with the shortest average period duration to the corresponding management center, preferentially pushing the supplier with the smallest delay delivery rate to the corresponding management center when the difference value of the average period durations between the two suppliers is smaller than a threshold value, and storing a new digital supply chain based on the finally selected supplier in the corresponding management center.
6. A big data-based supply chain management system applied to the big data-based supply chain management method of any one of claims 1 to 5, which is characterized in that the system comprises an information acquisition module, a characteristic information extraction module, a storage association relationship identification judgment module, a storage planning management module and a supply chain information management module;
the information acquisition module is used for acquiring historical production and processing flow information for production branch lines corresponding to all production businesses in a target enterprise respectively, and capturing all production accessory information which is required to be purchased outwards in the production and processing flow for all production businesses respectively;
the characteristic information extraction module is used for respectively setting all production accessories related to planning, storing and managing the internal storage space of the target enterprise corresponding to each production service as target production accessories in each production service; extracting characteristic information of each target production accessory in each production service respectively;
the storage association relation identification judging module is used for receiving the data in the characteristic information extracting module, and respectively identifying and extracting the target production accessories with the storage association relation in all the target production accessories of each production service branch line based on the characteristic information corresponding to each target production accessory;
the warehouse planning management module is used for inputting information into each warehouse space area for accessory storage in the target enterprise; respectively gathering all target production accessories with storage association relations among all production businesses to obtain a plurality of association accessory sets corresponding to all production businesses; performing association verification in each association fitting set, and performing warehouse planning on each warehouse space area for fitting storage in the target enterprise;
the supply chain information management module is used for respectively acquiring information of each link of each target production accessory in the process from each order application to warehousing, and respectively constructing a plurality of historical digital supply chains corresponding to each target production accessory; and integrating all the digital supply chains corresponding to all the target production accessories planned to be stored in the same warehouse space region into the same management center for supply chain information management.
7. The big data-based supply chain management system according to claim 6, wherein the warehouse association relationship identification and judgment module comprises a warehouse association relationship preliminary judgment unit and a warehouse association relationship verification and judgment unit;
the primary judging unit of the storage association relation is used for receiving the data in the characteristic information extracting module and carrying out primary judging and identifying of the storage association relation in all target production accessories of each production service branch line;
the storage association relation verification judging unit is used for receiving the data in the characteristic information extracting module and the data in the storage association relation preliminary judging unit and verifying the result obtained by preliminary judgment and identification.
8. The big data based supply chain management system of claim 6, wherein the warehouse planning management module comprises a set association check unit and a warehouse planning management unit;
the set association checking unit is used for gathering all target production accessories with storage association relations among all production businesses to obtain a plurality of association accessory sets corresponding to the production businesses; performing association verification in each association fitting set;
and the warehouse planning management unit is used for receiving the data in the set association checking unit and carrying out warehouse planning management on each warehouse space area used for accessory storage in the target enterprise.
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