物流论文：基于运筹学方法的若干物流管理问题研究.doc

物流论文：基于运筹学方法的若干物流管理问题研究【中文摘要】本文基于运筹学中的优化方法和技术,在系统分析研究物流库存成本的基础上,研究解决了两类改进的EOQ模型：变短缺量拖后率的EOQ模型和带软时间窗的EOQ模型；引入了一种新型聚类算法并将其应用于多物品的联合补货问题,该新型聚类算法具有两个重要特点：非二叉聚类树和允许重叠聚类。对某类物品而言,允许重叠聚类的特点提供了一种比其他聚类结果更好的补货策略；与大多数聚类算法的二叉树相比,该算法具有更小的聚类树,突出了聚类元素的主要结构,为多设施选址问题提供了更省的选址策略。数值算例进一步说明了这一结论。文章最后将层次分析法应用于评价库存管理的绩效。【英文摘要】On the basis of relevant operations research optimization methods, the elements of logistics inventory costs are analyzed systematically. The logistics costs are used as the main clue. Two relevant improved economic order quantity models in enterprise logistics management are solved:time-varying partial backlogging EOQ model and soft time window EOQ model. A novel clustering algorithm is proposed and applied to the multi-item replenishment processing. This new algorithm has two distinguished features:non-binary hierarchical tree and the feature of overlapping clustering. The non-binary hierarchical tree is much smaller than the binary-trees constructed by most traditional algorithms and, therefore, it clearly highlights meaningful clusters which significantly reduce further manual efforts for cluster selections, so it provide minimal cost for multi facility location problem. The feature of overlapping clustering provides a better replenishment strategy for some single item that shares inventory patterns with more than one cluster. A simulation example for comparison illustrates the effectiveness of the proposed algorithm. Analytic Hierarchy Process is used to evaluate the performance of inventory management.【关键词】物流 库存 优化 EOQ 聚类 层次分析【英文关键词】Logistics Inventory Optimization EOQ Clustering Analytic hierarchy【目录】基于运筹学方法的若干物流管理问题研究摘要8-9ABSTRACT9第一章 绪论10-151.1 研究背景10-141.2 主要研究内容14-15第二章 两类改进的EOQ模型及其应用15-262.1 引言15-172.2 变短缺量拖后率的EOQ模型17-222.2.1 研究现状17-192.2.2 模型建立19-212.2.3 最优解分析21-222.3 带软时间窗的EOQ模型22-232.4 数值算例23-252.5 结论25-26第三章 基于新型图论聚类算法的可订货策略和选址问题26-363.1 引言26-273.2 一种新的图论聚类算法27-303.3 新型图论聚类算法在可订货策略中的应用30-323.4 新型图论聚类算法在选址问题中的应用32-353.4.1 研究意义323.4.2 研究方法综述32-343.4.3 基于新型聚类的多设施选址问题34-353.5 结论35-36第四章 基于层次分析法的仓储管理综合评价36-444.1 引言364.2 层次分析法简介36-384.3 仓储管理评价指标的构建38-