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首页> 外文期刊>International Journal of Production Research >Robust optimisation approach to the design of service networks for reverse logistics
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Robust optimisation approach to the design of service networks for reverse logistics

机译:逆向物流服务网络设计的鲁棒优化方法

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In this paper we discuss a typical service network of a company providing repair and refurbishment services for its products. To optimise the network we propose a mixed-integer linear programming (MILP) model that minimises the total cost subject to flow balance and logical constraints. The solution of the model determines which facilities are to be used in the network and the associated flows. The model is validated against data obtained from a computer manufacturer and real-life sources. The optimal network configuration depends on several factors such as the number of products returned, percent of faulty products and warranty fraction of modules, which are uncertain in nature. We also address the issue of identifying these uncertain parameters, and their levels to be considered. A min-max robust optimisation model is then developed and solved to address these uncertainties.
机译:在本文中,我们讨论了一家为其产品提供维修和翻新服务的公司的典型服务网络。为了优化网络,我们提出了一种混合整数线性规划(MILP)模型,该模型使受流平衡和逻辑约束的总成本最小化。该模型的解决方案确定网络中将使用哪些设施以及相关的流。根据从计算机制造商和实际来源获得的数据对模型进行了验证。最佳的网络配置取决于几个因素,例如退回的产品数量,故障产品的百分比和模块的保修比例,这些因素本质上是不确定的。我们还将解决识别这些不确定参数及其要考虑的水平的问题。然后开发最小-最大鲁棒优化模型并求解以解决这些不确定性。

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