An Intelligent Evaluation Method of Supply-Demand Matching Degree Based on ELECTRE III and VIKOR in Cloud Manufacturing Platform
Supply-demand matching degree evaluation is an effective way to reduce the transaction risk of manufacturing supply-demand subjects. Cloud manufacturing provides a platform for supply-demand entities through the network. Based on the characteristics of cloud manufacturing, this paper proposes an int...
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IEEE
2024-01-01
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| Series: | IEEE Access |
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| Online Access: | https://ieeexplore.ieee.org/document/10535183/ |
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| author | Jihong Pang Yuxuan Shi Jinkun Dai |
| author_facet | Jihong Pang Yuxuan Shi Jinkun Dai |
| author_sort | Jihong Pang |
| collection | DOAJ |
| description | Supply-demand matching degree evaluation is an effective way to reduce the transaction risk of manufacturing supply-demand subjects. Cloud manufacturing provides a platform for supply-demand entities through the network. Based on the characteristics of cloud manufacturing, this paper proposes an intelligent evaluation method of supply-demand matching degree based on ELECTRE III and VIKOR. Firstly, the demand side uploads a bill of material on the cloud manufacturing platform, and the supplier provides a supply plan. The demand side forms an evaluation team to evaluate the quality of the supplied product. Secondly, the weight of the evaluators is calculated in cloud manufacturing platform based on the similarity measurement method. Then, the cloud manufacturing platform carries out the weighted aggregation of evaluation information and uses the ELECTRE III method to build the weak advantage relationship among indicators. Finally, the cloud manufacturing platform performs a VIKOR compromise calculation and selects the optimal supply-demand matching degree. At the end of the paper, an example is taken to evaluate the matching degree of supply-demand of robot machined parts, to demonstrate the practicability of the new method. Based on Canny algorithm, a robot action stability test platform is built to verify the calculation results of the new method. |
| format | Article |
| id | doaj-art-333440b439224197a55fc56fd1e572ae |
| institution | Kabale University |
| issn | 2169-3536 |
| language | English |
| publishDate | 2024-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Access |
| spelling | doaj-art-333440b439224197a55fc56fd1e572ae2025-01-28T00:01:01ZengIEEEIEEE Access2169-35362024-01-0112723177233610.1109/ACCESS.2024.340344810535183An Intelligent Evaluation Method of Supply-Demand Matching Degree Based on ELECTRE III and VIKOR in Cloud Manufacturing PlatformJihong Pang0https://orcid.org/0000-0001-9802-4489Yuxuan Shi1https://orcid.org/0009-0004-4156-1928Jinkun Dai2https://orcid.org/0009-0004-1800-5579College of Business, Shaoxing University, Shaoxing, ChinaCollege of Business, Shaoxing University, Shaoxing, ChinaCollege of New Energy Equipment, Zhejiang College of Security Technology, Wenzhou, ChinaSupply-demand matching degree evaluation is an effective way to reduce the transaction risk of manufacturing supply-demand subjects. Cloud manufacturing provides a platform for supply-demand entities through the network. Based on the characteristics of cloud manufacturing, this paper proposes an intelligent evaluation method of supply-demand matching degree based on ELECTRE III and VIKOR. Firstly, the demand side uploads a bill of material on the cloud manufacturing platform, and the supplier provides a supply plan. The demand side forms an evaluation team to evaluate the quality of the supplied product. Secondly, the weight of the evaluators is calculated in cloud manufacturing platform based on the similarity measurement method. Then, the cloud manufacturing platform carries out the weighted aggregation of evaluation information and uses the ELECTRE III method to build the weak advantage relationship among indicators. Finally, the cloud manufacturing platform performs a VIKOR compromise calculation and selects the optimal supply-demand matching degree. At the end of the paper, an example is taken to evaluate the matching degree of supply-demand of robot machined parts, to demonstrate the practicability of the new method. Based on Canny algorithm, a robot action stability test platform is built to verify the calculation results of the new method.https://ieeexplore.ieee.org/document/10535183/Canny algorithmcloud manufacturing platformELECTRE IIIsupply-demand matching degree evaluationVIKOR |
| spellingShingle | Jihong Pang Yuxuan Shi Jinkun Dai An Intelligent Evaluation Method of Supply-Demand Matching Degree Based on ELECTRE III and VIKOR in Cloud Manufacturing Platform IEEE Access Canny algorithm cloud manufacturing platform ELECTRE III supply-demand matching degree evaluation VIKOR |
| title | An Intelligent Evaluation Method of Supply-Demand Matching Degree Based on ELECTRE III and VIKOR in Cloud Manufacturing Platform |
| title_full | An Intelligent Evaluation Method of Supply-Demand Matching Degree Based on ELECTRE III and VIKOR in Cloud Manufacturing Platform |
| title_fullStr | An Intelligent Evaluation Method of Supply-Demand Matching Degree Based on ELECTRE III and VIKOR in Cloud Manufacturing Platform |
| title_full_unstemmed | An Intelligent Evaluation Method of Supply-Demand Matching Degree Based on ELECTRE III and VIKOR in Cloud Manufacturing Platform |
| title_short | An Intelligent Evaluation Method of Supply-Demand Matching Degree Based on ELECTRE III and VIKOR in Cloud Manufacturing Platform |
| title_sort | intelligent evaluation method of supply demand matching degree based on electre iii and vikor in cloud manufacturing platform |
| topic | Canny algorithm cloud manufacturing platform ELECTRE III supply-demand matching degree evaluation VIKOR |
| url | https://ieeexplore.ieee.org/document/10535183/ |
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