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首页> 外文会议>2011 International Summer Conference of Asia Pacific on Business Innovation and Technology Management >A study of Inventory-Routing problem for the distribution system by applying Genetic Algorithm
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A study of Inventory-Routing problem for the distribution system by applying Genetic Algorithm

机译：应用遗传算法研究配送系统的库存路径问题

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This study will apply specific operations data of a real logistics firm to analyze Inventory-Routing problems. We first develop a mathematical model for the problem, and then apply a Savings method for the initial feasible solution, and finally implement Genetic Algorithm to obtain the optimal solution. The numerical examples are given to acquire the optimal total inventory routing cost, the optimal delivery routes, the economic order quantities, the optimal service levels, and the reorder points for the retail stores in these proposed routes. The results show that this model can be successfully applied in Inventory-Routing problem in a very efficient way. The performance of this proposed approach is also compared with Savings method and the current routing planning implemented by this specific logistics company. Consequently, the outcome of this study is very promising in many aspects and should be helpful to this logistics company for its future planning of the distribution system.
机译：这项研究将应用真实物流公司的特定运营数据来分析库存路由问题。首先，针对该问题建立数学模型，然后将Savings方法应用于初始可行解，最后通过遗传算法获得最优解。给出了数值示例，以获取这些拟议路线中零售商店的最佳总库存路线成本，最佳交货路线，经济订单数量，最佳服务水平以及再订货点。结果表明，该模型可以非常有效地成功应用于库存路由问题。该提议方法的性能也与“节省”方法以及由该特定物流公司实施的当前路线规划进行了比较。因此，这项研究的结果在许多方面都非常有希望，并且应该对这家物流公司的未来配送系统规划有所帮助。

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