Abstract
With the increasing economic globalization and the cooperation system of division of labor in the automobile industry, the multi-core network complex cooperative relationship between upstream and downstream enterprises and automobile manufacturing enterprises is gradually formed. Therefore, the automobile manufacturing enterprises at the core of the industrial chain, how to effectively control the upstream and downstream cooperative enterprises in the wide area manufacturing environment, has gradually become a severe challenge to the competition of the industrial chain. In view of the above problems, this article abandoned the idea of traditional single industry chain evaluation, and innovatively put forward a multi-core and cross-chain cooperative evaluation scheme based on the cloud platform environment. First of all, a multi-core and cross-chain cooperative relationship model is constructed through using the industrial cooperative relationship between upstream and downstream enterprise clusters and core enterprises. Combined with this model, a multi-level framework supporting multi-core and cross-chain evaluation based on cloud platform is explored and constructed. Then, taking the evaluation of the downstream marketing chain as an example, the first-level and second-level correlation index system based on multi-core and cross-chain is constructed one by one. Combined with the internal relationship between the two levels of index elements, this article establishes a corresponding multi-core and cross-chain index weight system. In order to solve the problem of multi-core and cross-chain evaluation in cloud environment, this article constructs a multi-core and cross-chain evaluation model based on cloud platform cooperation relationship through the semantic research of cooperation relationship between upstream and downstream enterprises and core enterprises. Then the corresponding cross-chain cooperative evaluation algorithm is given to solve the model. Finally, the feasibility and effectiveness of the multi-core and cross-chain evaluation method are verified by example and simulation. The method studied in this article provides a scientific and feasible decision support scheme to solve the problem of large-scale business collaboration evaluation for across-industry chains in wide area cloud manufacturing environment.
Highlights
Automobile industry chain is a complex distributed giant system
To exemplify the practical utility of the framework we introduce a multiple criteria evaluation of green supply programs using a novel multiple criteria approach that integrates rough set theory elements and fuzzy TOPSIS
The extracted data will be cleaned to remove the data that does not meet the requirements and the dirty data that is useless for evaluation. On this basis, according to the quantification parameters set by the core enterprise users of the cloud platform, as well as the initial and end thresholds of interval quantification, the data after cleaning is quantified for the calculation of secondary indexes
Summary
Automobile industry chain is a complex distributed giant system. With the increasing competition of automobile industry and the development of economic globalization, The associate editor coordinating the review of this manuscript and approving it for publication was Najah AbuAli. Object, from the point of view of multi-core network cooperation relationship, and adopts the software service environment based on cloud platform to carry out the research of multi-core cross-industry chain assessment and evaluation system. MULTI-CORE AND CROSS-CHAIN COOPERATIVE RELATIONSHIP MODEL The cooperation of automobile industry chain will take automobile manufacturing enterprise as the core, involving upstream supplier enterprise clusters and downstream sales(or dealer) enterprise clusters. From the actual cooperation relationship to analyze, a single core manufacturing enterprise usually works with multiple upstream supplier enterprise clusters and multiple downstream dealer enterprise clusters for industrial chain collaboration. The data source layer mainly provides the most original data source support for cross-chain evaluation These data sources are the objective business data generated by the sales business interaction between the core vehicle manufacturing enterprises and the dealer collaboration enterprises.
Sign-in/Register to view highlights & summary Sign-in/Register to access full text options 
Free) 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a call
