Multi-Core and Cross-Chain Evaluation Method Based on Multi-Core Mesh Collaboration Relationship
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 auto...
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doaj-6c500b4828344c0e990c6fd18cd6ba472021-03-30T04:35:07ZengIEEEIEEE Access2169-35362020-01-01815182915184610.1109/ACCESS.2020.30142129157843Multi-Core and Cross-Chain Evaluation Method Based on Multi-Core Mesh Collaboration RelationshipBinyong Li0https://orcid.org/0000-0003-3615-1129Shihao Liu1https://orcid.org/0000-0002-2751-500XYanqun Guo2Zeyan Du3Zhengyi Lei4Zhe Ding5School of Cybersecurity, Chengdu University of Information Technology, Chengdu, ChinaSchool of Mechanical and Electrical Engineering, Hainan University, Haikou, ChinaSchool of Information Science and Technology, Southwest Jiaotong University, Chengdu, ChinaSchool of Yinxing Hospitality Management, Chengdu University of Information Technology, Chengdu, ChinaSchool of Cybersecurity, Chengdu University of Information Technology, Chengdu, ChinaSchool of Cybersecurity, Chengdu University of Information Technology, Chengdu, ChinaWith 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.https://ieeexplore.ieee.org/document/9157843/Multi-core and cross-chaincloud platformindex systemevaluation modelcooperative relationship |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Binyong Li Shihao Liu Yanqun Guo Zeyan Du Zhengyi Lei Zhe Ding |
spellingShingle |
Binyong Li Shihao Liu Yanqun Guo Zeyan Du Zhengyi Lei Zhe Ding Multi-Core and Cross-Chain Evaluation Method Based on Multi-Core Mesh Collaboration Relationship IEEE Access Multi-core and cross-chain cloud platform index system evaluation model cooperative relationship |
author_facet |
Binyong Li Shihao Liu Yanqun Guo Zeyan Du Zhengyi Lei Zhe Ding |
author_sort |
Binyong Li |
title |
Multi-Core and Cross-Chain Evaluation Method Based on Multi-Core Mesh Collaboration Relationship |
title_short |
Multi-Core and Cross-Chain Evaluation Method Based on Multi-Core Mesh Collaboration Relationship |
title_full |
Multi-Core and Cross-Chain Evaluation Method Based on Multi-Core Mesh Collaboration Relationship |
title_fullStr |
Multi-Core and Cross-Chain Evaluation Method Based on Multi-Core Mesh Collaboration Relationship |
title_full_unstemmed |
Multi-Core and Cross-Chain Evaluation Method Based on Multi-Core Mesh Collaboration Relationship |
title_sort |
multi-core and cross-chain evaluation method based on multi-core mesh collaboration relationship |
publisher |
IEEE |
series |
IEEE Access |
issn |
2169-3536 |
publishDate |
2020-01-01 |
description |
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. |
topic |
Multi-core and cross-chain cloud platform index system evaluation model cooperative relationship |
url |
https://ieeexplore.ieee.org/document/9157843/ |
work_keys_str_mv |
AT binyongli multicoreandcrosschainevaluationmethodbasedonmulticoremeshcollaborationrelationship AT shihaoliu multicoreandcrosschainevaluationmethodbasedonmulticoremeshcollaborationrelationship AT yanqunguo multicoreandcrosschainevaluationmethodbasedonmulticoremeshcollaborationrelationship AT zeyandu multicoreandcrosschainevaluationmethodbasedonmulticoremeshcollaborationrelationship AT zhengyilei multicoreandcrosschainevaluationmethodbasedonmulticoremeshcollaborationrelationship AT zheding multicoreandcrosschainevaluationmethodbasedonmulticoremeshcollaborationrelationship |
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1724181548055396352 |