Mechanism of supply chain coordination based on price discount with privacy protection in one-supplier-one-buyer system
It is of great economic significance to optimize the total cost and improve the performance of the supply chain. In this paper, we assume that the market demand is random, and the seller and the buyer share information and make decisions together. We analyze the optimal joint order quantity under pr...
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| Format: | Article |
| Language: | English |
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Frontiers Media S.A.
2023-04-01
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| Series: | Frontiers in Physics |
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| Online Access: | https://www.frontiersin.org/articles/10.3389/fphy.2023.1017251/full |
| _version_ | 1797845580429393920 |
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| author | Cui-Hua Xie Jing-Chun Zhan Le-Tian Zeng Shao-Yong Han Shao-Yong Han Shao-Yong Han |
| author_facet | Cui-Hua Xie Jing-Chun Zhan Le-Tian Zeng Shao-Yong Han Shao-Yong Han Shao-Yong Han |
| author_sort | Cui-Hua Xie |
| collection | DOAJ |
| description | It is of great economic significance to optimize the total cost and improve the performance of the supply chain. In this paper, we assume that the market demand is random, and the seller and the buyer share information and make decisions together. We analyze the optimal joint order quantity under probabilistic demand and design the quantity discount model and profit distribution mechanism. Under a certain quantity discount mechanism and profit distribution strategy, both the seller and the buyer can reduce costs. The quantity discount model and profit distribution mechanism designed require supply chain members to share information. In order to protect the privacy of members and improve the willingness of supply chain members to share information, we designed a privacy protection joint ordering policy protocol and privacy protection quantity discount policy based on Secure multiparty computation technology. Then, the joint ordering strategy, the privacy-preserving joint ordering strategy, and quantity discount protocol are numerically simulated. The numerical simulation results show that the privacy-preserving quantity discount coordination mechanism designed by us can reduce the cost of supply chain members to varying degrees and effectively protect the shared information of supply chain members. This work is helpful to the research of cost optimization of the system in complex supply chain systems. |
| first_indexed | 2024-04-09T17:41:18Z |
| format | Article |
| id | doaj.art-02386d8e394f4fc0950cd3bc2bd72d3c |
| institution | Directory Open Access Journal |
| issn | 2296-424X |
| language | English |
| last_indexed | 2024-04-09T17:41:18Z |
| publishDate | 2023-04-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Physics |
| spelling | doaj.art-02386d8e394f4fc0950cd3bc2bd72d3c2023-04-17T05:00:10ZengFrontiers Media S.A.Frontiers in Physics2296-424X2023-04-011110.3389/fphy.2023.10172511017251Mechanism of supply chain coordination based on price discount with privacy protection in one-supplier-one-buyer systemCui-Hua Xie0Jing-Chun Zhan1Le-Tian Zeng2Shao-Yong Han3Shao-Yong Han4Shao-Yong Han5School of Economics and Management, Wenzhou University of Technology, Wenzhou, ChinaSchool of Computing and Business, Universiti Teknologi Malaysia, Johor Bahru, MalaysiaSchool of Computing and Business, Universiti Teknologi Malaysia, Johor Bahru, MalaysiaSchool of Economics and Management, Wenzhou University of Technology, Wenzhou, ChinaPostdoctoral Scientific Research Workstation, Bank of Zhengzhou, Zhengzhou, ChinaSchool of Information Engineering and Technology, Changzhou Vocational Institute of Industry Technology, Changzhou, ChinaIt is of great economic significance to optimize the total cost and improve the performance of the supply chain. In this paper, we assume that the market demand is random, and the seller and the buyer share information and make decisions together. We analyze the optimal joint order quantity under probabilistic demand and design the quantity discount model and profit distribution mechanism. Under a certain quantity discount mechanism and profit distribution strategy, both the seller and the buyer can reduce costs. The quantity discount model and profit distribution mechanism designed require supply chain members to share information. In order to protect the privacy of members and improve the willingness of supply chain members to share information, we designed a privacy protection joint ordering policy protocol and privacy protection quantity discount policy based on Secure multiparty computation technology. Then, the joint ordering strategy, the privacy-preserving joint ordering strategy, and quantity discount protocol are numerically simulated. The numerical simulation results show that the privacy-preserving quantity discount coordination mechanism designed by us can reduce the cost of supply chain members to varying degrees and effectively protect the shared information of supply chain members. This work is helpful to the research of cost optimization of the system in complex supply chain systems.https://www.frontiersin.org/articles/10.3389/fphy.2023.1017251/fullsupply chain managementquantity coordinationprivacy protectionsecure multiparty computationprobabilistic demand |
| spellingShingle | Cui-Hua Xie Jing-Chun Zhan Le-Tian Zeng Shao-Yong Han Shao-Yong Han Shao-Yong Han Mechanism of supply chain coordination based on price discount with privacy protection in one-supplier-one-buyer system Frontiers in Physics supply chain management quantity coordination privacy protection secure multiparty computation probabilistic demand |
| title | Mechanism of supply chain coordination based on price discount with privacy protection in one-supplier-one-buyer system |
| title_full | Mechanism of supply chain coordination based on price discount with privacy protection in one-supplier-one-buyer system |
| title_fullStr | Mechanism of supply chain coordination based on price discount with privacy protection in one-supplier-one-buyer system |
| title_full_unstemmed | Mechanism of supply chain coordination based on price discount with privacy protection in one-supplier-one-buyer system |
| title_short | Mechanism of supply chain coordination based on price discount with privacy protection in one-supplier-one-buyer system |
| title_sort | mechanism of supply chain coordination based on price discount with privacy protection in one supplier one buyer system |
| topic | supply chain management quantity coordination privacy protection secure multiparty computation probabilistic demand |
| url | https://www.frontiersin.org/articles/10.3389/fphy.2023.1017251/full |
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