【作者】 刘鑫；

【导师】 何世伟；

【作者基本信息】 北京交通大学 ， 交通运输规划与管理， 2007， 硕士

【摘要】 伴随着现代物流业在全世界范围内的蓬勃发展,大量的理论与应用研究应运而生,从而推动了一系列课题的研究。从配送、仓储、信息技术到物流中心选址等一系列问题具有重大的理论和实用研究价值。本文研究物流中心选址问题,并考虑到选址过程中的随机因素,将随机物流中心选址问题作为研究方向,具有一定的理论和现实意义。纵观各类研究成果,虽然已有的研究模型分别从配送、仓储以及服务水平等各方面对物流系统某一方面进行了研究,但是均没有从供应链一体化的角度出发对构成物流中心总成本的各因素进行综合分析,从而使模型求解所得到的仅仅是关于某一个因素的最优解,而不是真正意义上的总成本最优。因此,本文试图从仓储和运输管理的角度出发,结合物流中心选址过程中的不确定因素,建立基于库存策略的物流中心选址问题的随机期望值规划、随机机会约束规划和随机相关机会约束规划模型。这些模型克服了以往物流选址模型中忽略存储费用这一主要因素的缺陷,以总费用(主要包括存储费用和运输费用)最小为优化目标。并且,应用混合智能算法对选址问题的随机期望值模型、随机机会约束规划模型以及随机相关机会约束规划模型进行求解,探索基于库存策略的随机物流中心选址问题的优化方法。更多还原

【Abstract】 With vigorous development of modern logistics all over the world, a number of academic and applied problems appear, which promoting a series of research, including freighting, warehousing, information and location. These researches have important academic and applied value. Here we will take stochatic factors into account, research the problem of the stochatic logistics center location, which has theoretical and practical value.Taking all types of research results, there are location models, which objective is to minimize the cost from the view of distribution, warehousing, logistics services and other aspects of the research, but there is no one analyses logistics center cost factors comprehensively from point of supply chain. Consequently, it obtains optimal solutions of a factor, but not the total cost. The paper attempts to study location-allocation problem from the aspects of inventory and transportation management, build expected value model, chance-constrained programming model and dependent chance programming model of logistics center location-inventory problem. These models minimize total cost, including inventory cost and transportation cost, and overcome the shortage of unconsidering inventory. Furthermore, hybrid genetic algorithm is designed in order to explore location-inventory problem optimization.更多还原