毕业设计（论文） 题目：关于物流配送中心的选址模型研究 学生姓名： 学号： 班级: 专业：工商管理（物流管理方向）本科 所在系:管理系 指导教师： 关于物流配送中心的选址模型研究 摘要 在物流网络中，配送中心连接着供货点和需求点，是两者之间的桥梁，在物流系统中有着举足轻重的作用，因此搞好配送中心的选址将对物流系统作用的发挥乃至物流经济效益的提高产生重要的影响
本论文在综述配送中心选址问题研究现状的基础上，对配送中心选址的模型和算法进行了研究。本课题的第一部分对物流配送中心选址的研究背景进行介绍，阐述物流配送中心选址的重要性；第二部分对国内的物流配送中心选址问题的研究进行平述。第三部分物流配送中心选址的模型的理论模型。深入分析改进的重心法模型与整数规划模型的理论模型和算法。第四部分是实证研究，以验证本文所构建的重心法模型的合理性及可行性。本文结论是：采用改进的重心法建立选址模型,然后利用多元线性回归对重心法模型中的总成本函数方程中的系数进行优化。这样使重心法模型克服对于系数的数据处理的主观性，减小了主观因素带来的偏差，也使模型在配送中心的选址中具有实用性。通过指派问题模型可以实现配送中心资源的重新优化配置，并且其为配送中心选址提供一条新的途径
关键词：物流配送中心选址重心法分派问题模型 ABOUT THE LOCATION OF LOGISTICS DISTRIBUTION CENTER MODEL RESEARCH ABSTRACT In the logistics network, the distribution center point and needs to connect the supply point is a bridge between the two, in the logistics system has a pivotal role, it will improve the logistics distribution center location and even played the role of the logistics system economic efficiency have an important effect. In the review of this paper the problem of distribution center location based on the current situation, on the distribution center location model and algorithm research. The first part of this issue of logistics distribution center location of the background briefing, explained the importance of logistics distribution center location; the second part of the domestic logistics distribution center location problem to level out. The third part of the logistics distribution center location model of the theoretical model. In-depth analysis of the improved center of gravity model and the theoretical model of integer programming models and algorithms. The fourth part is the empirical study to validate the constructed model of gravity method is reasonable and feasible. This conclusion is: the establishment of an improved center of gravity location model, and then using multiple linear regression model on the center of gravity of the total cost function to optimize the coefficients of the equation. This model of gravity method to overcome the subjective factor of data processing and reduce the bias caused by subjectiv
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