Multi-objective disassembly line balancing and related supply chain management problems under uncertainty: Review and future trends

供应链 供应链管理 计算机科学 确定性 光学(聚焦) 产品(数学) 风险分析(工程) 运筹学 管理科学 业务 经济 工程类 营销 数学 认识论 几何学 光学 物理 哲学
作者
Junkai He,Feng Chu,Alexandre Dolgui,Miguel F. Anjos
出处
期刊:International Journal of Production Economics [Elsevier]
卷期号:272: 109257-109257 被引量:15
标识
DOI:10.1016/j.ijpe.2024.109257
摘要

Disassembly Line Balancing (DLB) is a critical issue in end-of-life product recycling and remanufacturing. DLB-related supply chains exist in many industry sectors, including automobiles, mobile phones, and electronic appliances. In recent years, the interest in multi-objective versions of DLB under certainty has been constantly increasing. However, most existing reviews focus on the specificities of disassembly lines and returned products, and only a few mention the importance of considering integrated DLB-related supply chains. Moreover, to the best of our knowledge, there have been no reviews of multi-objective DLB under uncertainty. This review provides a comprehensive view of DLB by analyzing more than 150 original research and survey articles since 2010. To better analyze these publications, we propose a novel triplet notation integrating the perspectives of problem settings, circumstances, and solution methods. The contributions of this survey include: (i) we classify and review newly published DLB-related integrated issues; (ii) we focus on both multi-objective and uncertainty, which has not been addressed by previous surveys; (iii) we analyze in-depth solution approaches to address multi-objective DLB problems under uncertainty. Based on this systemic analysis, we identify multiple theoretical and practical gaps in the literature and point out promising future research directions.
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