Online platform-based reverse logistics network design for mobile phones with resilience capability: Stochastic programming and Benders decomposition

IF 10.6 1区 工程技术 Q1 ENGINEERING, INDUSTRIAL
Yong Liu , Weidong Chen , Junyuan Qiu
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引用次数: 0

Abstract

In the context of global market volatility, natural disasters and human-induced disruptions have intensified supply chain uncertainty. Online recycling, leveraging third-party courier services and platform-based information matching, has emerged as an effective solution for managing e-waste recovery. However, its sustainability and resilience performances remain limited due to the lack of advanced supply chain design methods. To fully capitalize on the residual value of used mobile phones, we propose a quality-based cascading material efficiency strategy and design an online platform-based reverse logistics network that integrates consumers, operation centers, third-party logistics, and cascading processing facilities. A two-stage mixed-integer stochastic programming model is developed to minimize total costs, including carbon emission costs, while enhancing sustainability and resilience. We develop an enhanced Benders decomposition algorithm with acceleration strategies, incorporating effective inequalities, induced constraints, and Benders adaptive-cuts. A clustering-based method is further applied to improve cut selection efficiency. Extensive computational experiments confirm the algorithm’s superiority in both baseline and scalability tests. Finally, we conducted a case study on a leading internet recycling platform in China to evaluate the performance of the reverse network design and resilience strategy. Our results positively indicate that the combined effect of disruption events and carbon tax policies can promote a balance between sustainability and resilience in reverse logistics networks. The implementation of resilience strategy combinations can improve both economic and carbon emission performance. We also confirm the feasibility of supply chain restructuring or strengthening partnerships to enhance low-carbon performance in the event of disruptions. A well-designed combination of complementary resilience strategies prevents simultaneous failures and ensures adaptability to a wide range of disruption risks. These findings are significant for understanding how optimizing resilience strategy combinations and partnerships can improve supply chain sustainability and resilience.
具有弹性的手机在线平台逆向物流网络设计:随机规划与Benders分解
在全球市场波动的背景下,自然灾害和人为干扰加剧了供应链的不确定性。利用第三方快递服务和平台信息匹配的在线回收已经成为管理电子垃圾回收的有效解决方案。然而,由于缺乏先进的供应链设计方法,其可持续性和弹性性能仍然有限。为了充分利用废旧手机的剩余价值,我们提出了基于质量的级联材料效率策略,并设计了一个基于在线平台的、集消费者、运营中心、第三方物流和级联处理设施为一体的逆向物流网络。提出了一种两阶段混合整数随机规划模型,以最小化总成本(包括碳排放成本),同时提高可持续性和弹性。我们开发了一个增强的Benders分解算法与加速策略,结合有效不等式,诱导约束和Benders自适应切割。进一步应用基于聚类的方法提高切割选择效率。大量的计算实验证实了该算法在基线测试和可扩展性测试方面的优越性。最后,我们以中国领先的互联网回收平台为例,对逆向网络设计和弹性策略的性能进行了评估。我们的研究结果积极地表明,中断事件和碳税政策的综合效应可以促进逆向物流网络中可持续性和弹性之间的平衡。实施弹性战略组合可以提高经济绩效和碳排放绩效。我们还确认供应链重组或加强伙伴关系以提高低碳绩效的可行性。精心设计的互补弹性策略组合可以防止同时发生故障,并确保对大范围中断风险的适应性。这些发现对于理解优化弹性战略组合和伙伴关系如何提高供应链可持续性和弹性具有重要意义。
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来源期刊
International Journal of Production Economics
International Journal of Production Economics 管理科学-工程:工业
CiteScore
21.40
自引率
7.50%
发文量
266
审稿时长
52 days
期刊介绍: The International Journal of Production Economics focuses on the interface between engineering and management. It covers all aspects of manufacturing and process industries, as well as production in general. The journal is interdisciplinary, considering activities throughout the product life cycle and material flow cycle. It aims to disseminate knowledge for improving industrial practice and strengthening the theoretical base for decision making. The journal serves as a forum for exchanging ideas and presenting new developments in theory and application, combining academic standards with practical value for industrial applications.
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