标题： 多地点新闻商问题中的集成仓库选址和库存决策 显示英文标题

标题： Integrated Warehouse Location and Inventory Decisions in a Multi-location Newsvendor Problem

摘要： 在本文中，我们研究了一个包含一个供应商和多个零售商的供应链网络。供应商可以直接从零售商处接收订单，或者选择在网络中的某个位置建立仓库以集中来自零售商的订单。同时，我们考虑了三种运输成本模式，包括与距离相关的成本、与数量相关的成本以及与距离和数量相关的成本，以制定六个模型。对于三个去中心化模型，我们提供了闭式解来计算每个零售商的最优订购量。对于集中式模型，我们为前两个模型开发了闭式解，因为运输成本仅取决于距离或订单数量；但当运输成本同时取决于两者时，模型会变成非线性规划问题。我们开发了一种名为Q-search的求解算法，以找到包含订购量和仓库位置的高质量解。实验结果表明，在利润和服务水平方面，集中式模型在大型网络中优于去中心化模型。 显示英文摘要

摘要： In this paper, we investigate a supply chain network with a supplier and multiple retailers. The supplier can either take orders from retailers directly, or choose to build a warehouse somewhere in the network to centralize the ordering from retailers. Meanwhile, we take three modes of transportation cost into account, including distance-dependent, quantity-dependent, and distance-quantity-dependent costs, to formulate six models. For the three decentralized models, we provide closed-form solutions to compute the optimal order quantity of each retailer. For the centralized models, we develop closed-form solutions for the first two models as the transportation cost only depends on either distance or order quantity; but when it depends on both, the model becomes a non-linear programming problem. We develop a solution algorithm named Q-search to find a high-quality solution that includes the order quantity and the warehouse location. The experiment results show that the centralized model outperforms the decentralized model in large networks in terms of profit and service level.