The disassembly line plays a vital role to recover the products for remanufacturing enterprises. For this reason, designing and balancing of the disassembly line are important to utilize the economic and tactical benefits. This study explores a multi-objective disassembly line balancing problem (MODLBP) from a different point of view by considering the workers’ heterogeneity and the multi-manned stations where the group-based worker assignment strategy is implemented. Although the MODLBP has been attracting attention in the last decade, to the best of our knowledge, this is the first study investigating the addressed problem in the current form. To further analyze the problem, first, it is described by focusing on the tactical level strategies and operational level scenarios. Subsequently, a novel multi-objective optimization model is formulated with three objectives, that of minimizing overall cost, cycle time, and workload imbalance. On one hand, the improved augmented ϵ-constrained (AUGMECON2) method is used to obtain the Pareto-optimal solutions for small-sized problems. On the other hand, a set of algorithms based on the non-dominated sorting genetic algorithm-II is implemented to gain managerial insights regarding the strategies and scenarios for large-sized problems. A computational study is conducted based on the generated problems to reveal the prominent differences between strategies in terms of performance metrics. According to the computational results, high-quality solutions are achieved when the group-based assignment strategy is realized. Besides, it is revealed from scenario analysis that the training of workers leads to considerable improvements in the system performance.

拆装线对于为再制造企业回收产品起着至关重要的作用。因此，拆卸线的设计和平衡对于利用经济和战术利益很重要。这项研究通过考虑工人的异质性和实施基于群体的工人分配策略的多人站，从不同的角度探讨了多目标拆卸线平衡问题（MODLBP）。尽管MODLBP在过去十年中一直受到关注，但据我们所知，这是第一个以当前形式调查已解决问题的研究。为了进一步分析该问题，首先，将重点介绍战术级别的策略和操作级别的方案。后来，建立了一个新颖的多目标优化模型，该模型具有三个目标，即最小化总体成本，周期时间和工作负载不平衡。一方面，使用改进的增强augment约束（AUGMECON2）方法来获得小问题的帕累托最优解。另一方面，基于非支配排序遗传算法-II的一组算法被实现，以获取有关大型问题的策略和方案的管理见识。基于所产生的问题进行了计算研究，以揭示在性能指标方面策略之间的显着差异。根据计算结果，当实现基于组的分配策略时，可以获得高质量的解决方案。除了，