供应链
产品(数学)
计算机科学
资源效率
工具箱
块链
资源(消歧)
新产品开发
供应链管理
持续性
业务
风险分析(工程)
环境经济学
营销
经济
计算机安全
生物
数学
计算机网络
程序设计语言
生态学
几何学
作者
Qingyuan Zhu,Yaoyao Sun,Sachin Kumar Mangla,Sobhan Arisian,Malin Song
出处
期刊:IEEE Transactions on Engineering Management
[Institute of Electrical and Electronics Engineers]
日期:2023-06-29
卷期号:71: 10557-10570
被引量:5
标识
DOI:10.1109/tem.2023.3286883
摘要
The growing demand for fresh products presents a formidable challenge for managers to design a supply chain that is both cost-effective and efficient while maintaining the freshness of the products. This article examines the use of blockchain technology as a solution for enhancing resource sharing and improving the efficiency and sustainability of fresh product supply chains. In particular, we propose a smart contract that deals with the intricacies of the facility location-routing optimization problem, taking into account both resource sharing and product freshness requirements. To tackle this problem, we propose a hybrid solution approach that integrates a greedy clustering algorithm and the YALMIP toolbox. Our computational experiments validate the effectiveness of the proposed model and the feasibility of the presented solution method. Our research findings reveal the potential of blockchain technology in the fresh product industry, underscoring its significance in the development of sustainable and efficient supply chains. Furthermore, the proposed model and adopted solution method contribute to the advancement of the fresh product supply chain and provide practical suggestions for managers and policymakers.
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