Modeling of Periodically Correlated Work Processes in Large-Scale Concurrent Engineering Projects Based on the DSM

Year: 2011
Editor: Eppinger, S. D., Maurer, M., Eben, K., Lindemann, U.
Author: Schlick, C.M.; Schneider, S.; Duckwitz, S.
Section: Project and Process Management
Page(s): 273-288


This paper presents theoretical analyses of project dynamics and emergent complexity in large-scale new product development projects that are subject to the management concept of concurrent engineering. A model-driven approach is taken and a mathematical model of cooperative task processing is formulated on the basis of the theory of stochastic periodic vector-autoregressive processes. The model can capture not only the dynamic processing of the development tasks with short iteration length but also the long-scale effects of withholding the release of information on purpose. The model also provides the basis for the calculation of a closed-form solution for a metric of emergent complexity. The metric was invented in basic research and allows an explicit complexity assessment based on the model’s independent parameters.

Keywords: Project dynamics, cooperative work, complexity management, work transformation matrix


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