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考虑信息可靠性与安全性的闭环供应链决策:供应链是否应采用联邦学习决策支持系统?

Closed-loop supply chain decision considering information reliability and security: should the supply chain adopt federated learning decision support systems?

Annals of Operations Research · 2023
被引 18
ABS 3

中文导读

研究了联邦学习平台对闭环供应链决策和收益的影响,发现该平台能保障消费者信息安全、激励制造商披露真实成本,并通过成本收益共享合同协调系统收益。

Abstract

Abstract The study considers the closed-loop supply chain (CLSC) decision using federated learning platform (FL platform), establishes a CLSC game model including one manufacturer, one retailer and one third party, analyzes the influence of FL platform on optimal decisions and revenues of CLSC system from the perspectives of information reliability, information security and investment cost, and establishes a cost-sharing and revenue-sharing contract (CSRS contract) to coordinate CLSC system. Results show that, the greater consumers' recognition of the remanufactured product, the higher its price and revenue; using FL platform can guarantee the degree of consumer information security, which in turn has a constructive effect on the CLSC; when the FL platform is not adopted, the manufacturer will raise more revenue by misrepresenting the manufacturing and remanufacturing costs; the FL platform would provide some incentive for manufacturers to disclose true cost information and improve the CLSC revenue; an increase in investment costs would lead to a reduction in revenue, so CLSC members would need to make investment decisions based on revenue comparisons before and after using the platform; finally, within the feasibility of the contract parameters, the CSRS contract both maximizes optimal revenue of CLSC system and improves revenue per member.

供应链管理闭环供应链联邦学习信息共享收益协调