基于集配中心的供应链物流网络路径优化

发布时间：2018-03-09 15:29

本文选题：集配中心　切入点：供应物流　出处：《华中科技大学》2015年硕士论文　论文类型：学位论文

【摘要】：高速发展的互联网,使得消费潮流走向方便、快捷、便宜和个性化。企业只有构建了兼具低成本、快速响应和柔性特点的高适应性供应链,才能在市场竞争中获得成功。其中,如何实现高服务水平的及时配送是高适应性供应链管理的挑战之一。供应链管理实践及理论研究表明,基于集配中心的供应链物流网络能够利用规模效应降低物流成本,通过协同运作提高供应链响应性和柔性。基于此类理论与实践背景,本论文以集配中心在供应链中的物流配送为落脚点,分析了其在不同物流阶段中的决策制定,建立了路径优化模型,并求解出优化的路径方案。在实践调研和文献研究的前提下,本论文总结了基于集配中心的供应链物流网络的结构组成,提炼了集配中心在不同物流阶段的决策因子。然后,针对不同的物流阶段建模和求解:在供应物流阶段引入城市环线,建立了供应商环状分布下循环取货供应物流路径优化模型,并设计了一种改进的TSP遗传算法求解;在中转物流阶段考虑节点属性的变化,建立了存在三重属性节点的中转物流路径优化模型,并设计了一种双层嵌套的遗传算法求解。最后,通过数值实验和算例分析对模型和算法进行了验证。根据算例结果提炼了相关管理启示及意义,从而为实际运作提供了提供理论依据。其中,在供应物流中城市环线和多车型的组合取货能够实现路径的优化和成本的降低;在中转物流中基于产品流的物流网络中转点选取与中转物流路径优化方案,能够通过适度集货而降低运输费用。
[Abstract]:With the rapid development of the Internet, the trend of consumption tends to be convenient, fast, cheap and individualized. Only by constructing a high adaptive supply chain with the characteristics of low cost, rapid response and flexibility can enterprises succeed in the market competition. How to realize high service level timely distribution is one of the challenges of high adaptability supply chain management. The practice and theoretical research of supply chain management show that supply chain logistics network based on distribution center can reduce logistics cost by using scale effect. Based on this kind of theory and practice background, this paper takes the logistics distribution of the set distribution center in the supply chain as the foothold, and analyzes its decision making in different logistics stages. The path optimization model is established, and the optimized path scheme is solved. On the premise of practical investigation and literature study, this paper summarizes the structure of supply chain logistics network based on set distribution center. The decision factors of the distribution center in different logistics stages are refined. Then, for different logistics stages, the urban loop is introduced into the supply logistics stage. In this paper, a logistics route optimization model for cyclic delivery and supply with circular distribution of suppliers is established, and an improved TSP genetic algorithm is designed to solve the problem, which takes into account the change of node attributes in the stage of transit logistics. The optimization model of transit logistics path with triple attribute nodes is established, and a bilevel nested genetic algorithm is designed to solve the problem. The model and algorithm are verified by numerical experiment and example analysis. According to the results of numerical examples, the relevant management enlightenment and significance are extracted, which provides a theoretical basis for practical operation. In the supply logistics, the combination of urban loop and multi-vehicle type can realize the route optimization and cost reduction, and in the transit logistics, we can select the transfer point and optimize the transit logistics path based on the product flow. Be able to reduce transportation costs by properly stocking goods.
【学位授予单位】：华中科技大学
【学位级别】：硕士
【学位授予年份】：2015
【分类号】：F274;F252.1

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