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An Optimal Dynamic Approach to Reconfigurable Logistic System

机译:可重构物流系统的最优动态方法

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In Today's globalized world and cutthrought competition distribution costs play an important part in entire logistic network. From inbound to outbound logistics, everywhere focus seems to be on minimizing the distribution cost of goods. Highlighting the cost minimization issue, routing of the logistic activities is very important. In other words a reconfigurable logistic system can help reducing the cost to a significant level in a supply chain.In this paper,we have addressed the important issue of the consolidation and quantity allocation where optimal combination of the goods of diverse nature is achieved. This optimal combination is dependent on variables such as weight and volume of the products and capacity of the trucks. The trucks are distinguishable on the basis of their carrying capacities and have distinct hiring costs associated, i.e. different types of vehicle incur distinct fixed cost for each trip from the warehouse to retailer. It is assumed that retailer has a deterministic demand pattern over a finite planning horizon. Finally, the case is validated through a fast moving consumer good's company where anheuristic approach is used for the optimization.The heuristic provide feasible and effective solution for the mentioned multi-variable problem.
机译:在当今全球化的世界中,竞争日益激烈,分销成本在整个物流网络中扮演着重要的角色。从入库物流到出库物流,到处似乎都集中在最小化货物的分销成本上。突出成本最小化问题,后勤活动的路由非常重要。换句话说,可重构的物流系统可以帮助将成本降低到供应链中的可观水平。在本文中,我们解决了合并和数量分配的重要问题,在该问题中,实现了多种性质的商品的最佳组合。这种最佳组合取决于变量,例如产品的重量和体积以及卡车的容量。卡车根据其承载能力是可区分的,并且具有不同的租赁成本,即,从仓库到零售商的每次行程,不同类型的车辆产生不同的固定成本。假设零售商在有限的计划范围内具有确定的需求模式。最后,通过快速消费品公司对案例进行了验证,其中使用启发式方法进行了优化。启发式方法为上述多变量问题提供了可行而有效的解决方案。

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