Optimizing product line designs: Efficient methods and comparisons

• 成果类型: Article
• 署名作者: Belloni, Alexandre; Freund, Robert; Selove, Matthew; Simester, Duncan
• 署名单位: Duke University; Massachusetts Institute of Technology (MIT)
• 刊物名称: MANAGEMENT SCIENCE
• ISSN/ISSBN: 0025-1909
• DOI: 10.1287/mnsc.1080.0864
• 发表日期: 2008
• 页码: 1544-1552
• 关键词: Product line design; conjoint; optimization

摘要

We take advantage of recent advances in optimization methods and computer hardware to identify globally optimal solutions of product line design problems that are too large for complete enumeration. We then use this guarantee of global optimality to benchmark the performance of more practical heuristic methods. We use two sources of data: (1) a conjoint study previously conducted for a real product line design problem, and (2) simulated problems of various sizes. For both data sources, several of the heuristic methods consistently find optimal or near-optimal solutions, including simulated annealing, divide-and-conquer, product-swapping, and genetic algorithms.