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Exact Method for the Vehicle Routing Problem with Mixed Linehaul and Backhaul Customers, Heterogeneous Fleet, time Window and Manufacturing Capacity

机译:具有回程和回程客户,异构机队,时间窗和制造能力的混合车辆路径问题的精确方法

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Due to concerns over food safety, quality, and transparency, the food industry has been challenged to deal with an increased complexity in its logistics and production planning. This complexity is mostly associated to the task of optimally exploring a highly constrained solution space. This paper addresses the problem of designing a set of vehicle routes satisfying the delivery and the collection requirements of a set of geographically scattered linehaul and backhaul customers. Each customer has a known demand for delivery and/or pickup, and it must be serviced within a predefined time window, representing the earliest and the latest times service time, by a vehicle of a heterogeneous fleet of depot-returning capacitated vehicles. Additionally the proposed model, aiming at minimizing the logistics costs, also takes manufacturing capacities and driving hour's regulations into consideration. The proposed algorithm was embedded in a native application. This digital tool, enabling the support of a holistic production and logistics planning, was implemented in a food company.
机译:由于对食品安全性,质量和透明度的担忧,食品行业面临着应对其物流和生产计划日益复杂的挑战。这种复杂性主要与优化探索高度受限的解决方案空间的任务有关。本文解决了设计满足一组地理上分散的回程和回程客户的交付和收集要求的车辆路线的问题。每个客户都有交货和/或取货的已知需求,并且必须在预定时间范围内(代表最早和最新时间​​的服务时间),由一支由多辆返回仓库的车辆组成的车辆进行维修。另外,为使物流成本最小化而提出的模型还考虑了制造能力和驾驶时间的规定。所提出的算法已嵌入本机应用程序中。该数字工具在食品公司中得到了实现,该工具可支持整体生产和物流计划。

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