电商环境下的仓库系统的运作研究

项目名称： 电商环境下的仓库系统的运作研究

项目编号： No.71471159

项目类型： 面上项目

立项/批准年度： 2015

项目学科： 管理科学

项目作者： 周翔

作者单位： 香港中文大学深圳研究院

项目金额： 60万元

中文摘要： 在电子商务在中国乃至全球快速发展的今天，仓储管理面临许多的新的挑战和问题。 本项目将主要研究企业的库存和仓储综合管理的问题以及对电商仓库管理十分重要的快速分拣区库存和产品组合问题。这些问题大多都涉及动态的系统并包含一定的随机因素。我们将依据现实问题建立量化数学模型，并对模型进行深入分析以得到重要的结构性质。基于这些性质，我们将刻画问题的最优策略，如仓库租赁，补货，产品组合等。同时我们将对最优解的性质进行研究。对于一些过于复杂的最优策略，我们也将开发简单有效的启发式算法。通过和相关企业的联系，我们也将收集数据，对模型进行进一步的验证和对结果的现实意义进行分析讨论。 本项目预期将为现实中亟待解决的仓库运作管理问题提供解决方案，同时为相关的理论研究做出贡献。

中文关键词： 供应链管理；库存管理；仓储系统；最优策略；启发式算法

英文摘要： With rapid growth of E-commerce in China and in the world, warehouse management is facing an increasing number of new issues and challenges. This project focuses on two main classes of research problems: joint management of inventory and warehousing rental; product assortment and replenishment in fast-picking area. These problems are challenging in that they are usually dynamic in time and include uncertain factors. We will construct quantitative models to describe the practical problems and conduct thorough analysis of these models so as to derive their structural properties. Based on these properties, we will characterize the optimal control policies of the systems, such as warehouse space rental, inventory replenishment, product assortment. Meanwhile, we will study the properties of the optimal policies to obtain managerial insights. For some of the problems that have complicated optimal policy that are difficult to implement in practice, we will further develop simple and effective heuristics. More importantly, we will collect real data and use them to validate our models and analyze practical implications of our research outcomes. We expect the project will not only contribute to the warehousing and inventory management literature but also provide solutions and guidelines on recently emerging problems in warehouse management.

英文关键词： Sypply chain management;Inventory management;Warehouse systems;Optimal policy;Heuristics