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 供应链风险管理 风险分析(工程) 运筹学 直线(几何图形) 运营管理 服务管理 业务 经济 工程类 营销 数学 几何学
作者
Junkai He,Feng Chu,Alexandre Dolgui,Miguel F. Anjos
出处
期刊:International Journal of Production Economics [Elsevier]
卷期号:: 109257-109257 被引量:2
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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