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An Empirical Study of Vehicle Routing Problem for Medical Consumable Materials by Using Clustering Approach: Taking Zueling Pharma Corporate as an Example

机译:采用聚类方法对医疗消耗材料的载体路径问题的实证研究:以Zeuling Pharma公司为例

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The purpose of the paper is aiming to improve the medical supply distribution routing. From the empirical data, we examine four major issues which are multiple replemshments, umdentifiable distribution spot, implementation of wrong information in the system, and matching issues. Repetition, delay, and cross-district sequence of delivery cause extra transportation cost. We proposed a clustering approach to improve the efficiency. We group all the points into several clusters, then routing the path. A distribution centre inside the hive-shaped formation can sigmficantly shorten the distance and reduce the time by allocating to the surroimding individual point separately. Lastly, the objective of logistics is to satisfy the requirements of the end consumers with high quality service, as a special and integrated activity, logistics plays a focal position in modem society, routing optimization is the main focus of VRP. The most sigmficant improvement is the distribution distance reduced from 52 km to 29.4 km, 43.46%. The cost improvement in terms of time decreased from 130 minutes to 61 minutes, 53.08%.
机译:本文的目的旨在提高医疗供应分配路线。从经验数据中,我们研究了四个主要问题,这些问题是多重重新调整,无义的分发点,在系统中实施错误信息以及匹配问题。重复,延迟和交叉区交付序列会导致额外的运输成本。我们提出了一种聚类方法来提高效率。我们将所有点分为几个集群,然后路由路径。蜂巢状地层内的配送中心可以分别地缩短距离,并通过分别分配给血统的单个点来减少时间。最后,物流的目标是满足最终消费者的需求,以优质的服务,作为特殊和综合的活动,物流在调制解调器社会中发挥着焦点地位,路由优化是VRP的主要焦点。最简单的改善是分销距离从52公里减少到29.4公里,43.46%。时间的成本改善从130分钟降至61分,53.08%。

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