Timing Successive Product Introductions with Demand Diffusion and Stochastic Technology Improvement

  • Authors:
  • R. Mark Krankel;Izak Duenyas;Roman Kapuscinski

  • Affiliations:
  • Department of Industrial and Operations Engineering, University of Michigan, Ann Arbor, Michigan 48109-2117;Ross School of Business, University of Michigan, Ann Arbor, Michigan 48109-1234;Ross School of Business, University of Michigan, Ann Arbor, Michigan 48109-1234

  • Venue:
  • Manufacturing & Service Operations Management
  • Year:
  • 2006

Quantified Score

Hi-index 0.00

Visualization

Abstract

This paper considers a firms decisions on the introduction timing for successive product generations. We examine the case where a firm introduces multiple generations of a durable product for which demand is characterized by a demand diffusion process. Under fixed introduction costs, we consider the case where available product technology improves stochastically. As such, delaying introduction to a later date may lead to the capture of further technology improvements, potentially at the cost of slowing sales for the existing product (and a decline in market potential for the product to be introduced, given our focus on durable products). We specify a state-based model of demand diffusion and construct a decision model to solve the firms introduction timing problem. By incorporating technology improvement in our model, we prove the optimality of a state-dependent threshold policy governing the firms product-introduction decisions. Numerical analysis reveals the influence of key model parameters on the pace of product introduction. Our model helps to explain the product-introduction behavior of firms and provides an alternative to previous explanations of IBMs introduction timing decisions for successive generations of its mainframe computers.