Supply chain network design and inventory management for spare parts with application in the aerospace industry

本研究项目的目标是开发备件供应链网络设计的模型、解决方案和决策支持工具。最近，随着人们对精简供应链的兴趣与日俱增，经营着大量备件业务的公司正专注于协调涉及稀疏零部件分销的业务。这包括确定仓库和服务站等服务设施的位置，决定每个部件的存储位置和数量，以及将客户需求分配给服务设施。目标主要是将选址、库存和配送业务的总成本降至最低，并满足客户服务要求。该研究项目是由一个行业项目推动的，该项目呼吁重新设计庞巴迪航空航天公司的备件供应链。庞巴迪是一家加拿大公司，也是飞机零部件的主要供应商。他们的备件供应链的高效设计将有助于庞巴迪保持其在行业中的竞争地位。庞巴迪和加拿大航空航天行业将从这项研究中受益匪浅。预期的好处包括更具响应性和成本效益的供应链，提高客户服务水平，并最终增加市场份额和收入。备件的供应链网络设计在几个方面与其他产品有显著的不同：客户服务要求更严格，因为缺货可能会产生大量的财务影响，需求通常较低且不规律，并且零部件的价格可能非常高。我们的方法是建立和解决数学模型，在计算上尽可能多地捕捉备件管理的复杂方面和现实性。

The goal of this research project is to develop models, solution methodology, and decision support tools for spare parts supply chain network design. Recently, with an increasing interest in streamlining their supply chains, companies that operate a significant spare parts business are focusing on coordinating the operations involved in sparse parts distribution. This includes locating service facilities such as warehouses and service stations, deciding on where and how many to store of each part, and assigning customer demand to service facilities. The objectives are mainly to minimize the overall cost of the location, inventory and distribution operations, and to meet customer service requirements. The research project is motivated by an industry project which calls for the redesign of the spare parts supply chain for Bombardier Aerospace. Bombardier is a Canadian company and a major provider of spare parts for aircraft. Efficient design of their spare parts supply chain will help Bombardier maintain its competitive position in the industry. Bombardier and the Canadian Aerospace industry will benefit significantly from this research. Expected benefits include more responsive and cost-effective supply chains, increased customer service levels, and ultimately increased market share and revenues. Supply chain network design for spare parts is significantly different from other products in several ways: customer service requirements are more stringent because stock-outs can have substantial financial implications, demand is generally low and irregular, and prices of parts can be very high. Our approach will be to build and solve mathematical models that capture as much of the complicating aspects and realism of spare parts management as computationally possible.