English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Global: Zendy Plus annual

Presents the access of premium content as premium feature

Premium Content

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Global: Zendy Tools annual

Global: Zendy Free Plan

Global: Zendy Tools monthly

Global: Zendy Plus monthly

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.

Multi-Core and Cross-Chain Evaluation Method Based on Multi-Core Mesh Collaboration Relationship