Estimation of Work Transformation Matrices for Large-Scale Concurrent Engineering Projects

Authors

  • Christopher M. Schlick Institute of Industrial Engineering and Ergonomics, RWTH Aachen University Germany
  • Sebastian Terstegen Institute of Industrial Engineering and Ergonomics, RWTH Aachen University Germany
  • Sönke Duckwitz Institute of Industrial Engineering and Ergonomics, RWTH Aachen University Germany

Keywords:

Project dynamics, cooperative work, work transformation matrix

Abstract

This paper presents an approach to estimating work transformation matrices of large-scale concurrent engineering projects with periodically correlated work processes. A mathematical model of cooperative work is formulated on the basis of the theory of stochastic periodic autoregressive processes. The model can capture not only the cooperative processing of the development tasks with short iteration length but also long-scale effects of withholding the release of information on purpose. This strategy aims at improving the implementation of the product architecture. The solutions of the least-square estimates of the work transformation matrices and the covariances are given. Finally, the estimation accuracy is investigated based on a simulated development of a door module of a vehicle door.

Author Biographies

  • Christopher M. Schlick, Institute of Industrial Engineering and Ergonomics, RWTH Aachen University Germany

    Christopher M. Schlick was born in Germany on July 1, 1967. He received the M.S. degree (Dipl.-Ing.) in Electrical Engineering from Berlin University of Technology in 1992, Ph.D. degree (Dr.-Ing.)in Mechanical Engineering from Aachen University of Technology in 1999, and the Habilitation degree (Dr.-Ing. habil) also in Mechanical Engineering from Aachen University of Technology in 2004. He worked for the computer industry in 1992 and 1993 as a design engineer. From1994 to 2000, he joined the Institute of Industrial Engineering and Ergonomics at RWTH Aachen University of Technology. From2000 to 2004 he was the head of department of human–machine systems at the Research Institute for Communication, Information Processing and Ergonomics, Wachtberg, Germany. He is nowa full professor of industrial engineering and ergonomics at RWTH Aachen University and deputy director of the Fraunhofer Institute for Communication, Information Processing and Ergonomics FKIE.His current interests are mathematical models of cooperative

  • Sebastian Terstegen, Institute of Industrial Engineering and Ergonomics, RWTH Aachen University Germany

    Sebastian Terstegen received the M.Sc.(Dipl.-Ing.) degree in Electrical Engineering from the University of Paderborn, Germany, in 2009. He currently works as a PhD student and research assistant at the Institute of Industrial Engineering and Ergonomics of RWTH Aachen University. His research focuses on the development of simulation and optimization techniques for project management.

  • Sönke Duckwitz, Institute of Industrial Engineering and Ergonomics, RWTH Aachen University Germany

    Sönke Duckwitz received the Dipl.-Ing. and the Dipl.-Wirt.Ing. degrees from RWTH Aachen University,Germany. He is currently head of department work organization and chief engineer at theInstitute of Industrial Engineering and Ergonomics at RWTH Aachen University. His research interests include project management and modeling and simulation of complex working processes

References

Eppinger, S.D., Browning, T., 2012. Design Structure Matrix Methods and Applications. MIT Press, Cambridge, MA.

Huberman, B. A., Wilkinson, D. M., 2005. Performance Variability and Project Dynamics. Computational and Mathematical Organization Theory 11 (4), 307–332.

Lütkepohl, H., 2005. New Introduction to Multiple Time Series Analysis. Springer, Berlin.

Mihm, J., Loch, C., 2006. Spiraling Out of Control: Problem-Solving Dynamics in Complex Distributed Engineering Projects. In: Braha, D.; Minai, A.A.; Bar-Yam, Y. (eds.). Complex Engineered Systems: Science Meets Technology. Springer, Berlin, 141−158.

Schlick, C.M., Schneider, S., Duckwitz, S., 2011. Modeling of Periodically Correlated Work Processes in Large-scale Concurrent Engineering Projects based on the DSM. Proceedings of the 13th International Dependency and Structure Modeling Conference, DSM 2011, 273–290.

Schlick, C., Duckwitz, S., Schneider, S., 2013. Project Dynamics and Emergent Complexity. Comput Math Organ Theory 19 (1), 480–515.

Smith, R.P., Eppinger, S.D., 1997. Identifying Controlling Features of Engineering Design Iteration. Management Science 43 (3), 276−293.

Ursu, E., Duchesne, P., 2009. On Modelling and Diagnostic Checking of Vector Periodic Autoregressive Time Series Models. Journal of Time Series Analysis 30 (1), 70–96.

Yassine, A. A., Joglekar, N., Braha, D., Eppinger, S. D., & Whitney, D. (2003). Information Hiding in Product Development: The Design Churn Effect. Research in Engineering Design, 14 (3), 145−161.

Downloads

Published

2022-05-20

How to Cite

Estimation of Work Transformation Matrices for Large-Scale Concurrent Engineering Projects. (2022). The Journal of Modern Project Management, 3(2), 140. https://journalmodernpm.com/manuscript/index.php/jmpm/article/view/197

Similar Articles

21-30 of 425

You may also start an advanced similarity search for this article.