Optimization of strategic planning processes for configurable products
针对可配置产品制造商，开发了整合产品组合规划与供应链管理的模型，通过多变量逻辑模型转化为混合整数线性规划，帮助汽车制造商平衡产品与供应链复杂性以提升盈利能力。
Assortment planning aims to select the set of products that a retailer or manufacturer will offer to its customers to maximize profitability. While assortment planning research has been expanding in recent years, current models are inadequate for the needs of a configurable product manufacturer. In this paper, we develop models integrating assortment planning and supply chain management decisions for the strategic planning of a large automaker. Our model utilizes a multinomial logit choice model transformed into a mixed-integer linear program through the Charnes–Cooper transformation. It is able to scale to problems that contain thousands of configurations to possibly be offered, a necessity given the number of possible configurations an automaker can build. In addition, most research in assortment planning contains simplified costs associated with product complexity. We better account for design, integration, manufacturing, and supply chain complexities that stem from large product assortments. We believe that our model can significantly aid automotive manufacturers to balance their product complexity with supply chain complexity to improve profitability of vehicle programs. We also present results from a case study motivated by a large global automotive original equipment manufacturer.