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Two-phase approach to an integrated reverse logistics network considering different qualities of returned products

机译:考虑返回产品不同品质的综合反向物流网络的两相方法

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Purpose - Some essential issues about modeling of reverse logistics (RL) systems and product recovery networks include consideration of the qualities of the returned products, taking into account uncertainty and integrating the forward and reverse flows. The purpose of this paper is to develop the integrated RL model, which focuses on the control of inventory and production planning problems in a case of uncertainty in demand, quantities and qualities of returns. Design/methodology/approach - The model involves a forward production route, three alternative recovery routes and a disposal route. Various levels of qualities are considered for returned products. A fuzzy mixed integer programming model (FMIP) is developed to provide a solution for the problems of production planning and inventory control. After maximizing the satisfaction degree, different solutions can have the same maximum. Moreover, policies that use all recovery routes and reduce the overall uncertainty have no chance to be chosen. To tackle these problems, a two-phase approach method is applied. Findings - According to the results of the numerical example, using different and appropriate recovery options based on the quality of returns can significantly decrease the recovery costs. Similarly, it is shown that the two-phase approach can be an effective and efficient method to reach a satisfactory solution for such problems. Originality/value - In this study, after maximizing the FMIP model, a two-phase approach - as a novel optimization technique in this research - is employed to achieve a desirable solution.
机译:目的 - 关于逆向物流建模(RL)系统和产品恢复网络的一些基本问题,包括考虑退回产品的质量,考虑到不确定性并集成前向和反向流动。本文的目的是开发集成的RL模型,专注于控制库存和生产计划问题,在需求的不确定性,数量和回报的情况下。设计/方法/方法 - 该模型涉及前向生产路线,三条替代恢复路线和处置路线。为退回的产品考虑了各种级别的品质。开发了一种模糊混合整数编程模型(FMIP),为生产规划和库存控制问题提供了解决方案。在最大化满意度后,不同的解决方案可以具有相同的最大值。此外,使用所有恢复路线和减少总不确定性的政策都没有机会被选中。为了解决这些问题,应用了一种两相方法方法。调查结果 - 根据数值示例的结果,使用基于返回质量的不同和适当的恢复选项可以显着降低恢复成本。类似地,示出了两相方法可以是有效且有效的方法,以达到这种问题的令人满意的解决方案。原创性/值 - 在本研究中,在最大化FMIP模型之后,一种两相方法 - 作为本研究中的新型优化技术 - 用于实现理想的解决方案。

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