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A multi-stage supply chain network design problem with in-house production and partial product outsourcing

机译：内部生产和部分产品外包的多阶段供应链网络设计问题

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摘要

We propose a mixed-integer linear programming model for a novel multi-stage supply chain network design problem. Our model integrates location and capacity choices for plants and warehouses with supplier and transportation mode selection, and the distribution of multiple products through the network. The aim is to identify the network configuration with the least total cost subject to side constraints related to resource availability, technological conditions, and customer service level requirements. In addition to in-house manufacturing, end products may also be purchased from external sources and consolidated in warehouses. Therefore, our model identifies the best mix between in-house production and product outsourcing. To measure the impact of this strategy, we further present two additional formulations for alternative network design approaches that do not include partial product outsourcing. Several classes of valid inequalities tailored to the problems at hand are also proposed. We test our models on randomly generated instances and analyze the trade-offs achieved by integrating partial outsourcing into the design of a supply chain network against a pure in-house manufacturing strategy, and the extent to which it may not be economically attractive to provide full demand coverage. (C) 2019 Elsevier Inc. All rights reserved.
机译：我们提出了一个新颖的多阶段供应链网络设计问题的混合整数线性规划模型。我们的模型将工厂和仓库的位置和容量选择与供应商和运输方式选择集成在一起，并通过网络分配多种产品。目的是确定总成本最低的网络配置，但要考虑与资源可用性，技术条件和客户服务水平要求有关的附带约束。除了内部制造外，最终产品还可以从外部来源购买并整合到仓库中。因此，我们的模型确定了内部生产和产品外包之间的最佳组合。为了衡量该策略的影响，我们进一步提出了另外两种替代网络设计方法的公式，其中不包括部分产品外包。还提出了针对当前问题的几类有效不等式。我们在随机生成的实例上测试我们的模型，并分析通过将部分外包与纯内部制造策略相集成的供应链网络设计所实现的权衡，以及在何种程度上无法提供全面的经济利益需求覆盖。 （C）2019 Elsevier Inc.保留所有权利。

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