Joint optimization of product family configuration and scaling design by Stackelberg game |
| |
Authors: | Gang Du Roger J. Jiao Mo Chen |
| |
Affiliation: | 1. College of Management and Economics, Tianjin University, Tianjin 300072, China;2. The George W. Woodruff School of Mechanical Engineering, Georgia Institute of Technology, Atlanta, GA 30332-0405, United States |
| |
Abstract: | Product family design is generally characterized by two types of approaches: module-based and scale-based. While the former aims to enable product variety based on module configuration, the latter is to variegate product design by scaling up or down certain design parameters. The prevailing practice is to treat module configuration and scaling design as separate decisions or aggregate two design problems as a single-level, all-in-one optimization problem. In practice, optimization of scaling variables is always enacted within a specific modular platform; and meanwhile an optimal module configuration depends on how design parameters are to be scaled. The key challenge is how to deal with explicitly the coupling of these two design optimization problems. |
| |
Keywords: | Product family design Module configuration Scaling design Joint design optimization Bilevel programming Stackelberg game |
本文献已被 ScienceDirect 等数据库收录! |
|