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首页> 外文期刊>International Journal of Production Research >Reverse supply chain optimisation with disassembly line balancing
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Reverse supply chain optimisation with disassembly line balancing

机译：具有拆卸线平衡的逆向供应链优化

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摘要

Due to responding environmental issues, conforming governmental legislations and providing economic benefits, there has been a growing interest in recycling activities through the supply chains. Reverse supply chain (RSC) optimisation problem has a great potential as an efficient tactic to achieve this goal. While disassembly, one of the main activities in RSC, enables reuse and recycling of products and prevents the overuse, disassembly line balancing problem involves determination of a line design in which used products are partially/completely disassembled to obtain available components. The aim of this study is to optimise a RSC, involving customers, collection/disassembly centres and plants, that minimises the transportation costs while balancing the disassembly lines, which minimises the total fixed costs of opened workstations, simultaneously. A non-linear mixed-integer programming model, which simultaneously determines: (ⅰ) optimal distribution between the facilities with minimum cost, (ⅱ) the number of disassembly workstations that will be opened with minimum cost, (ⅲ) the cycle time in each disassembly centre and (ⅳ) optimal assignment of tasks to workstations, is developed. A numerical example is given to illustrate the applicability of the proposed model. Different scenarios have been conducted to show the effects of sensitivity analyses on the performance measures of the problem.
机译：由于应对环境问题，遵守政府法规并提供经济利益，人们越来越关注通过供应链进行的回收活动。逆向供应链（RSC）优化问题作为实现此目标的有效策略具有巨大潜力。拆卸是RSC的主要活动之一，可实现产品的重复利用和回收并防止过度使用，而拆卸生产线平衡问题涉及确定生产线设计，在该设计中，部分/完全拆卸使用过的产品以获得可用的组件。这项研究的目的是优化一个涉及客户，收集/拆卸中心和工厂的RSC，该RSC可以最大程度地减少运输成本，同时又可以平衡拆卸线，从而最大程度地减少了打开的工作站的总固定成本。非线性混合整数编程模型，该模型同时确定：（ⅰ）以最小的成本实现设施之间的最佳分配，（ⅱ）将以最低的成本打开的拆卸工作站的数量，（ⅲ）每个周期的时间开发了拆卸中心和（ⅳ）任务到工作站的最佳分配。数值例子说明了该模型的适用性。已经进行了不同的场景以显示敏感性分析对问题的性能度量的影响。

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