Article ID: | iaor2009296 |
Country: | Netherlands |
Volume: | 179 |
Issue: | 2 |
Start Page Number: | 334 |
End Page Number: | 351 |
Publication Date: | Jun 2007 |
Journal: | European Journal of Operational Research |
Authors: | Roy Rahul, Kamath Narasimha B. |
Keywords: | time series & forecasting methods |
For an innovative product characterized by short product lifecycle and high demand uncertainty, investment in capacity buildup has to be done cautiously. Otherwise either the product's market diffusion is impeded or the manufacturer is left with unutilized capacity. Using the right information for making capacity augmentation decisions is critical in facing this challenge. In this paper, we propose a method for identifying critical information flows using the system dynamics model of a two-echelon supply chain. The fundamental premise of system dynamics methodology is that (system) structure determines (its) behavior. Using loop dominance analysis method we study the feedback loop structure of the supply chain system. The outcome is a set of dominant loops that determine the dynamics of capacity growth.