CN116596234A - Car trade supply chain cooperation platform based on block chain technology - Google Patents
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Abstract
The invention discloses a supply chain collaboration platform in the automobile industry based on a block chain technology, and relates to the technical field of block chains. The system comprises an application service layer, a platform service layer, a servitization resource layer and a physical resource layer, wherein the application service layer comprises multi-dimensional situation overall perception, capacity accurate matching, plan and logistics cooperation and multi-plan deduction auxiliary decision making, the platform service layer comprises service management and platform operation, business cooperation, big data analysis and application, service transaction/business, development supporting environment and user management, the servitization resource layer comprises a servitization resource pool, and the physical resource layer comprises computing resources and a data resource/thematic database. The invention provides functions of supply chain node portrait description, supply chain auxiliary plan generation and the like by utilizing the characteristics of decentralization, traceability, tamper resistance, safety, reliability and the like of a blockchain technology and the mutual cooperation of tap enterprises in the power-assisted automobile industry and small enterprises in roles of all links on a supply chain of the tap enterprises.
Description
Technical Field
The invention relates to the technical field of blockchain, in particular to a supply chain collaboration platform in the automobile industry based on a blockchain technology.
Background
The current manufacturing industry enterprise supply chain is characterized in that the manufacturing industry supply chain covers a plurality of links such as product design research and development, raw material and part purchase, production and manufacture, after-sale service, maintenance and guarantee and the like, and the problems of long links, low information transparency, large supervision difficulty, difficult responsibility tracing, low decision-making efficiency and the like of information flow, logistics and fund flow interaction among various users such as suppliers, manufacturers, distributors, retailers, end users and the like are gradually highlighted, and breakthrough and solution are needed;
the current application state and the deficiency of the blockchain technology in a supply chain system, including the application and the deficiency of the blockchain in demand and purchasing management, the traditional demand management mode of the supply chain of the manufacturing industry is still rough, an effective data verification means is often lacked in demand prediction and summarization, the demand is properly amplified by more experience in practice, and stock stagnation backlog or part missing condition can be caused after the demand is amplified step by step, so that the stock cost and the management difficulty are increased;
the block chain technology can open up information channels among main bodies such as raw material suppliers, parts and subsystem manufacturers, whole factories and the like, simplify the hierarchical information transmission process, enable the required information to be more clear and transparent, and further construct a fine management mode. In demand prediction and summarization, the material demand information and the warehouse inventory information based on the blockchain technology are relatively clear, so that more accurate and reasonable project division schemes, time scheduling arrangements and material allocation plans can be prepared. In purchase management, the intelligent contract mechanism of the blockchain can help the downstream main body of the supply chain to establish a trust relationship without intervention of a third-party trust mechanism. According to the transaction contents agreed in advance, the automatic order release of the manufacturer, the automatic order receiving of the supply chain, the automatic order execution and the like can be successfully completed.
The current application state and the deficiency of the blockchain technology in a supply chain system also comprise the application and the deficiency of the blockchain in cooperative manufacturing, the characteristics of long manufacturing chain, high technical requirement, multiple occupied resources and the like commonly exist in a manufacturing industry chain, and the production and the manufacturing of part of parts and subsystems often need a plurality of suppliers to cooperate. Limited by the ability of the "chain master" resource to allocate, it is difficult to maximize the supply chain potential and the overall efficiency of the supply chain will be impacted.
The block chain technology-based collaborative manufacturing and resource sharing platform can be built, and scattered manufacturing forces are aggregated to realize on-demand distribution and parallel manufacturing through credible and automatic order driving, so that the inventory cost is reduced, and the manufacturing agility is improved obviously; therefore, we propose a supply chain collaboration platform for the automotive industry based on blockchain technology.
Disclosure of Invention
The invention discloses a supply chain collaboration platform designed for tap enterprises in the automobile industry and small and medium enterprises in roles of various links on a supply chain based on a blockchain technology, and aims to solve the problems in the background technology.
The invention is realized by the following technical scheme:
the invention relates to an automobile industry supply chain collaboration platform based on a blockchain technology, which comprises an application service layer, a platform service layer, a servitization resource layer and a physical resource layer, wherein the application service layer comprises multi-dimensional situation overall perception, capacity accurate matching, plan and logistics collaboration and multi-plan deduction aid decision making, the platform service layer comprises service management and platform operation, business collaboration, big data analysis and application, service transaction/business, development support environment and user management, the servitization resource layer comprises a servitization resource pool, specifically comprises a calculation resource pool, a data resource pool and a manufacturing resource pool, and the physical resource layer comprises calculation resources and a data resource/thematic database.
The multi-dimensional situation is comprehensively perceived, and aiming at the demands of automobile industry tap enterprises on industry situation research and judgment and the demands of roles on supply chains on information interaction, the bottleneck problems such as production bottleneck, supply chain plugging points, breakpoints and the like are timely found out from a plurality of dimensions of production plans, logistics plans, on-road information and material storage conditions, and prediction and early warning are carried out, so that the intelligent perception, analysis and decision-making speeds facing the supply chains are improved;
the capacity is accurately matched, three levels of national, regional and automobile industry tap enterprises are supported, the automobile industry tap enterprises and industry related supporting enterprises are supported to check capacity scale, supporting relation, bottleneck problem point and associated production task execution conditions of a supply chain where the automobile industry tap enterprises and the industry related supporting enterprises are located, and cross-system and cross-regional production capacity cross-domain overall scheduling and accurate matching are realized;
and establishing an enterprise productivity database in the region/on the supply chain, opening a data transmission channel between the supplier side and the factory side, acquiring the supplier productivity information through the platform, and establishing basic data management of the supplier productivity. Meanwhile, providing a supply and demand gap early warning, carrying out algorithm deduction through supplier capacity data, in-transit inventory, third party transit inventory, production factory inventory and production plan demand, carrying out early warning on the supply and demand gap, driving business improvement, supporting a plurality of layers of users from nationwide, province and city, globally controlling the distribution state and matching relation of capacity, and timely finding out capacity bottleneck early warning and recommending alternative schemes. And adopting a capacity dynamic on-demand allocation mode of cross-organization, cross-hierarchy, cross-domain and cross-enterprise to realize the production quick response and the industry potential capacity scheduling in an emergency state.
The plan cooperates with logistics, provides a demand release function for production demands of the automobile industry, forms a unified command of cooperative combat for sales, manufacturing and supply for a tap enterprise supply chain based on a blockchain technology, and promotes accurate and credible matching of resources; meanwhile, a synchronous planning system is constructed, so that linkage matching of a production plan and a material plan and logistics plan is realized, and accurate delivery is supported;
based on the productivity data and the inventory data, the inventory transparency of a supply chain is created, the logistics and shipping cooperative information is pulled through from the dimension of the automobile parts, and the parts are transparent in real time from the inventory of suppliers, the in-transit quantity, the third party transit inventory and the factory inventory. Meanwhile, intelligent management is carried out on the whole vehicle shipping plan, and automatic matching of the whole vehicle shipping rules and shipping lines is achieved through a rule engine, so that shipping efficiency is improved; and the whole process of dispatching the whole vehicle is transparently managed, so that plan progress monitoring, order dispatching monitoring, customer order progress monitoring, warehouse capacity monitoring and efficiency analysis and display are realized.
The multi-plan deduction aid decision making platform focuses on three-stage outage application scenes, analyzes outage influence based on block chains and knowledge maps and intelligently recommends application, rapidly generates a yield-increasing guarantee plan under emergency conditions, a rapid yield-increasing plan under mobilization conditions, a transfer yield-increasing plan under emergency conditions and a supply chain reconstruction plan under emergency conditions, and meets linkage supply-protecting rapid disposal requirements of tap enterprises when coping with various emergencies;
the server core of the computing resource pool comprises a CPU, a memory and an IO, the data resource pool comprises coordination management, a data warehouse, distributed computation and stream computation, and the manufacturing resource pool comprises dynamic resource scheduling, a real-time interface protocol, an industrial soft bus and manufacturing resource classification description.
The computing resources comprise high-performance clusters, a management informatization system, engineering design software and a unified data center, and the basic data of the data resource/thematic database comprise enterprise information, product data, personnel data, demand data and geographic data.
Based on the distributed architecture of the block chain, each main body is an information provider and an information user, and each node can automatically generate and update data based on a predetermined consensus algorithm; automatic transactions with any node can be achieved through intelligent contracts. In the self-organizing mode, the transaction no longer needs to pass through a specific core node, so that an information link is shortened, an information transmission period is shortened, and the cooperative efficiency is obviously improved. In addition, the intelligent contract supports flexible programming according to application scenes, and can better cope with the influence of external environment and dynamic change caused by internal strategic transformation, so that collaborative manufacturing management has stronger expansibility, agility and flexibility.
The invention has the following beneficial effects:
1. scientific value
The platform introduces the full view of the 'inter-chain cooperation' idea and multi-role industry distribution of the depicted region, explores the cross-supply chain and cross-node cooperation mode taking the whole vehicle manufacturing faucet enterprise as the core, provides a new mode of supply chain cooperation manufacturing development for the automobile industry aggregation region, and provides scientific theoretical guidance basis for the network cooperation manufacturing innovation development of the aggregation region automobile industry under the background of industrial innovation and technical innovation.
2. Technical value of
In the platform research and development process, integrated technologies and standards of full-chain dynamic perception and intelligent decision operation, production collaborative optimization and control and the like are overcome, a key technical system and a core system platform for supporting regional/supply chain collaborative manufacturing development are constructed, typical application demonstration is formed, and an innovative technical solution can be provided for the formation of a key technical capability system for the collaborative manufacturing of an automobile industry gathering regional network in China, the production mode and the industrial morphology transformation and upgrading.
3. Economic benefit
Through mode innovation, key technology and platform research and development and application demonstration construction, in important automobile industry gathering areas in China, chongqing, an industrial chain end-to-end network collaborative manufacturing integrated platform and application demonstration are established, the collaborative manufacturing efficiency of the areas and the industrial chain is improved, the idle area resources and the demand meeting cost are reduced, and the formation and development of new ecology, new business state and new business mode are accelerated.
Of course, it is not necessary for any one product to practice the invention to achieve all of the advantages set forth above at the same time.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings that are needed for the description of the embodiments will be briefly described below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and that other drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.
FIG. 1 is a block chain technology-based overall architecture diagram of a supply chain collaboration platform in the automotive industry;
FIG. 2 is a schematic diagram of a supply chain collaboration platform design in the automotive industry based on blockchain technology;
FIG. 3 is a block chain technology based architecture diagram of a supply chain collaboration platform data warehouse in the automotive industry;
FIG. 4 is a block chain technology based data collection tool for a supply chain collaboration platform in the automotive industry.
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.
Example 1
The invention relates to a supply chain collaboration platform of an automobile industry based on a blockchain technology, which is used for deeply researching production operation, purchasing plan, finance, logistics and supply chain collaboration modes of tap enterprises on the supply chain of the automobile industry from project demonstration, analyzing demands of global monitoring, process management and control, accurate execution of production plan and related departments of scientific research production management departments of the automobile industry by adopting a plurality of methods such as contextual interview, questionnaire investigation and product prototype test, and the like, establishing the supply chain collaboration platform of the automobile industry based on the blockchain, providing functions such as credible multidimensional situation perception, accurate capacity matching, plan and logistics collaboration, multi-plan deduction auxiliary decision and the like, and guaranteeing smooth information flow of the automobile supply chain and stable and efficient operation. The overall architecture of the platform is shown in fig. 1:
the invention comprises an application service layer, a platform service layer, a servitization resource layer and a physical resource layer, wherein the application service layer comprises multi-dimensional situation comprehensive perception, capacity accurate matching, plan and logistics cooperation and multi-plan deduction auxiliary decision making, the platform service layer comprises service management and platform operation, business cooperation, big data analysis and application, service transaction/business, development supporting environment and user management, the servitization resource layer comprises a servitization resource pool, and particularly comprises a calculation resource pool, a data resource pool and a manufacturing resource pool, and the physical resource layer comprises calculation resources and a data resource/thematic database.
The multi-dimensional situation is comprehensively perceived, and aiming at the demands of automobile industry tap enterprises on industry situation research and judgment and the demands of roles on supply chains on information interaction, the bottleneck problems such as production bottleneck, supply chain blocking points, break points and the like are timely found out from a plurality of dimensions of production plans, logistics plans, on-road information and material storage conditions, prediction and early warning are carried out, so that the intelligent perception, analysis and decision-making speeds facing the supply chains are improved; the capacity is accurately matched, three levels of national, regional and automobile industry tap enterprises are supported, the automobile industry tap enterprises and industry related supporting enterprises are supported to check capacity scale, supporting relation, bottleneck problem point and associated production task execution condition of a supply chain where the automobile industry tap enterprises and the industry related supporting enterprises are located, and cross-system and cross-regional production capacity cross-domain overall scheduling and accurate matching are realized; planning and logistics cooperation, providing a demand release function aiming at the production demand of the automobile industry, forming a unified command of cooperative combat for sales, manufacturing and supply for a tap enterprise supply chain based on a blockchain technology, and promoting accurate and credible matching of resources; meanwhile, a synchronous planning system is constructed, so that linkage matching of a production plan and a material plan and logistics plan is realized, and accurate delivery is supported; the multi-plan deduction aid decision making platform focuses on three-stage outage application scenes, the outage influence analysis and intelligent recommendation application based on the blockchain and the knowledge graph are developed, the yield-increasing guarantee plans under emergency conditions, the quick yield-increasing plans under mobilization states, the yield-increasing plans under emergency conditions and the supply chain reconstruction plans under emergency conditions are rapidly generated, and the linkage protection and supply quick disposal requirements of tap enterprises in coping with various emergencies are met.
The server core of the computing resource pool comprises a CPU, a memory and an IO, the data resource pool comprises coordination management, a data warehouse, distributed computation and stream computation, and the manufacturing resource pool comprises dynamic resource scheduling, a real-time interface protocol, an industrial soft bus and manufacturing resource classification description; the computing resources comprise high-performance clusters, management informatization systems, engineering design software and unified data centers, and the basic data of the data resource/thematic database comprise enterprise information, product data, personnel data, demand data and geographic data.
In the invention, as shown in fig. 2-3, the platform is used for supporting the platform to provide a data space, an algorithm library and an intelligent analysis application tool for enterprises, and the platform adopts a micro-service architecture and a Docker container technology to research the rapid encapsulation of cloud resource service and the construction of a resource cloud pool; the resource cloud service aggregation optimization technology is researched by adopting an intelligent service retrieval technology based on basic retrieval, fuzzy retrieval, semantic expansion and semantic reasoning research mixing, and an intelligent optimization algorithm based on association rules and deep learning. The method comprises the steps of constructing a platform foundation framework by adopting an industrial Internet and industrial big data framework, constructing resource cloud pool big data based on technologies such as resource cloud characterization, resource cloud service encapsulation, resource retrieval, resource aggregation optimization and the like, supporting platform cross-value chain decision support analysis and visualization by adopting mainstream algorithms such as machine learning, artificial intelligence and the like, and carrying out platform foundation service, collaborative service and application service encapsulation by adopting a mainstream technical framework.
Example two
The core of the invention is a platform, and the implementation mode of the platform expands the research and development work layer by layer according to the whole framework, specifically as shown in fig. 1, and comprises the following steps:
the research, the popularization and the application of the platform are implemented as follows;
step 1: platform data warehouse development
The platform data warehouse comprises a platform resource layer, a general algorithm model management and a core algorithm management. Developing a multisource heterogeneous data integration interface, establishing a tool set and a component library for data quality management, metadata management, main data management, data security management and the like, and carrying out data management; and constructing an enterprise data space covering the whole process of design, manufacture, service and management, developing analysis mining tools for data layered extraction, interactive analysis, visual presentation and the like, and realizing data cross-platform interconnection. The tool technology used for data acquisition, integration and visualization is shown in fig. 4;
step 2: platform service layer development
Based on the existing platform and tool technology, the service management and platform operation, service coordination, data analysis, application and other modules of the platform service layer are developed and advanced step by step according to the functional design book;
step 3: platform application layer development
The four applications of the platform application layer are gradually performed according to the flows of demand analysis and verification, business flow design, application architecture design and evaluation, business role design, platform application integration, application integration test, platform test and the like.
In the description of the present specification, the descriptions of the terms "one embodiment," "example," "specific example," and the like, mean that a particular feature, structure, material, or characteristic described in connection with the embodiment or example is included in at least one embodiment or example of the present invention. In this specification, schematic representations of the above terms do not necessarily refer to the same embodiments or examples. Furthermore, the particular features, structures, materials, or characteristics described may be combined in any suitable manner in any one or more embodiments or examples.
The preferred embodiments of the invention disclosed above are intended only to assist in the explanation of the invention. The preferred embodiments are not intended to be exhaustive or to limit the invention to the precise form disclosed. Obviously, many modifications and variations are possible in light of the above teaching. The embodiments were chosen and described in order to best explain the principles of the invention and the practical application, to thereby enable others skilled in the art to best understand and utilize the invention. The invention is limited only by the claims and the full scope and equivalents thereof.
Claims (7)
1. The utility model provides a car trade supply chain cooperation platform based on block chain technique which characterized in that: the system comprises an application service layer, a platform service layer, a servitization resource layer and a physical resource layer, wherein the application service layer comprises multi-dimensional situation comprehensive perception, capacity accurate matching, plan and logistics cooperation and multi-plan deduction auxiliary decision making, the platform service layer comprises service management and platform operation, business cooperation, big data analysis and application, service transaction/business, development supporting environment and user management, the servitization resource layer comprises a servitization resource pool, and particularly comprises a calculation resource pool, a data resource pool and a manufacturing resource pool, and the physical resource layer comprises calculation resources and a data resource/thematic database.
2. The supply chain collaboration platform for the automobile industry based on the blockchain technology according to claim 1 is characterized in that the multidimensional situation is comprehensively perceived, and aiming at the demands of automobile industry tap enterprises on industry situation research and judgment and the demands of various roles on the supply chain on information interaction, the bottleneck problems such as production bottlenecks, supply chain blocking points, breakpoints and the like are timely found, predictive early warning is carried out, and the intelligent perception, analysis and decision-making speeds for the supply chain are improved.
3. The supply chain collaboration platform based on the blockchain technology for the automobile industry, according to claim 1, is characterized in that the capacity is accurately matched, and the capacity scale, the matching relation, the bottleneck problem point and the associated production task execution condition of a supply chain where the automobile industry tap enterprise and the industry related matching enterprise are located are checked from three levels of national tap enterprises, regional tap enterprises and automobile industry tap enterprises, so that cross-system and cross-regional production capacity cross-domain overall scheduling and accurate matching are realized.
4. The supply chain collaboration platform for the automobile industry based on the blockchain technology, which is characterized in that the planning and logistics are coordinated, a demand release function is provided for production demands of the automobile industry, a unified command of collaborative combat for sales, manufacture and supply is formed for the supply chain of the faucet enterprise based on the blockchain technology, and accurate and reliable matching of resources is promoted; meanwhile, a synchronous planning system is constructed, linkage matching of production planning and material planning and logistics planning is realized, and accurate delivery is supported.
5. The supply chain collaboration platform based on the blockchain technology for the automobile industry, according to claim 1, the multi-plan deduction aid decision making, the platform focuses on three-stage outage application scenes, the outage influence analysis and intelligent recommendation application based on blockchain and knowledge patterns are developed, the yield increase guarantee plan under emergency conditions, the rapid yield increase plan under mobilization conditions, the production transfer and expansion plan under emergency conditions and the supply chain reconstruction plan under emergency conditions are rapidly generated, and the linkage protection rapid disposal requirements of tap enterprises in coping with various emergencies are met.
6. The automotive industry supply chain collaboration platform based on blockchain technology of claim 1, the server kernel of the computing resource pool comprising a CPU, memory, and IO, the data resource pool comprising coordinated management, data warehouse, distributed computing, and streaming computing, the manufacturing resource pool comprising dynamic resource scheduling, real-time interface protocol, industrial soft bus, and manufacturing resource class description.
7. The system of claim 1, wherein the computing resources comprise high performance clusters, management informatization systems, engineering design software and unified data centers, and the basic data of the data resource/thematic database comprises enterprise information, product data, personnel data, demand data and geographic data.
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| CN118134202A (en) * | 2024-04-12 | 2024-06-04 | 简帷(杭州)软件有限公司 | Bottleneck identification method in supply chain plan |
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