Skip to main content
State-dependent behavioral models for designing a multi-generation product line
IIE Annual Conference (2011)
  • Chun-Yu Lin, The Pennsylvania State University
  • Gül E. Kremer, Iowa State University
In today's market, multiple-generation product strategies are widely used by companies in various industries. Multiple-generation of products can be regarded as a product line. Adopting multiple-generation product strategies elongates the entire life cycle and relaxes the development time span; thus, companies can better utilize resources and technologies to plan for generations of products. In this research, a new framework is proposed to aid companies in designing a forward-looking multiple-generation product line for existing product types. The framework adopts concepts from the behavioral ecology field, and considers a product line as a living organism, and all the potential market strategies are regarded as potential behaviors. The problem is modeled with a dynamic state variable model. Potential exterior events are assumed to appear stochastically, such as sales variations resulting from the use of market strategies, and following predetermined rules. A case study implements the proposed framework to the IBM mainframe computers data derived from Mahajan and Muller [5]. The results show that the proposed framework closely predicts the behaviors of multiple-generation product lines.
  • Dynamic State Variable Models,
  • Stochastic Dynamic Programming,
  • Multiple Generations Product Line
Publication Date
This is a proceeding published as Lin, Chun-yu, and Gül E. Okudan. "State-dependent behavioral models for designing a multi-generation product line." In IIE Annual Conference. Proceedings, p. 1. Institute of Industrial and Systems Engineers (IISE), 2011. Posted with permission.
Citation Information
Chun-Yu Lin and Gül E. Kremer. "State-dependent behavioral models for designing a multi-generation product line" IIE Annual Conference (2011)
Available at: