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Multi-objective capacitated location-routing problem: modelling and a simulated annealing heuristic

机译:多目标容量定位路由问题:建模和模拟退火启发式

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Location-routing problem (LRP) is established as a new research area in the context of location analysis that concerns simultaneously both the problems of location of facilities and routing of vehicles among the established facilities and the existing demand points. In this paper, we address the multi-objective capacitated LRP, which may arise in many practical contexts in logistics and supply chain management. We present a bi-objective mathematical programming formulations to model the problem. The first objective is to minimise the overall system-wide costs, while the second objective is to minimise the maximum of delivery times to the customers. To solve the developed model, a simulated annealing (SA) based heuristic is proposed and the efficiency of the proposed solution procedure is illustrated by applying it to a standard benchmark set from literature.
机译:在位置分析的背景下,位置路由问题(LRP)被确立为一个新的研究领域,该问题同时涉及设施的位置问题以及既有设施与现有需求点之间的车辆路线问题。在本文中,我们解决了多目标能力有限的LRP,它可能在物流和供应链管理的许多实际情况下出现。我们提出了一个双目标数学编程公式来对问题进行建模。第一个目标是最大程度地降低整个系统的整体成本,而第二个目标是最大程度地缩短向客户的交货时间。为了解决开发的模型,提出了一种基于模拟退火(SA)的启发式方法,并通过将其应用于文献中的标准基准来说明所提出的求解过程的效率。

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