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Process integration using the design structure matrix

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  • Tyson R. Browning

Abstract

A process, as a kind of system, derives its added value from the relationships among its elements (e.g., activities). For a group of activities to be truly integrated (versus merely aggregated), the flow of deliverables among them must be well defined, agreed to, and committed to. Engineering processes are especially complex because of the large number of interdependencies among the activities, as many types of information flow to many destinations. A process model of what actually flows must be extracted from the existing, implicit way work really gets done. Since this requires getting “close” to where work is actually done, it is beyond the ability of a single, centralized group to build the entire model. Instead, a number of process “puzzle pieces” must be integrated into a single process model that will have more holistic descriptive, analytical, and prescriptive value. (The systems engineering “V” model applies to processes as well as to products.) This paper applies a powerful technique for representing and analyzing complex processes, the design structure matrix (DSM). The paper shows how to use the DSM to display both internal and external inputs and outputs, thereby defining the “edges” of the process puzzle pieces so they can be assembled to form large, integrated processes where value can flow. Process definition and integration is akin to “mapping the genome” of how work is efficiently and effectively accomplished across disciplines and organizations. It is an important enabler of process understanding and improvement. © 2002 Wiley Periodicals, Inc. Syst Eng 5: 180–193, 2002

Suggested Citation

  • Tyson R. Browning, 2002. "Process integration using the design structure matrix," Systems Engineering, John Wiley & Sons, vol. 5(3), pages 180-193.
    • Handle: RePEc:wly:syseng:v:5:y:2002:i:3:p:180-193
    DOI: 10.1002/sys.10023
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    References listed on IDEAS

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    Cited by:

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    4. Pedro Parraguez & Steven Eppinger & Anja Maier, 2016. "Characterizing Design Process Interfaces as Organization Networks: Insights for Engineering Systems Management," Systems Engineering, John Wiley & Sons, vol. 19(2), pages 158-173, March.
    5. David M. Sharman & Ali A. Yassine, 2004. "Characterizing complex product architectures," Systems Engineering, John Wiley & Sons, vol. 7(1), pages 35-60.
    6. Durugbo, Christopher & Tiwari, Ashutosh & Alcock, Jeffrey R., 2013. "Modelling information flow for organisations: A review of approaches and future challenges," International Journal of Information Management, Elsevier, vol. 33(3), pages 597-610.
    7. Eun Suk Suh & Michael R. Furst & Kenneth J. Mihalyov & Olivier de Weck, 2010. "Technology infusion for complex systems: A framework and case study," Systems Engineering, John Wiley & Sons, vol. 13(2), pages 186-203, June.
    8. Tyson R. Browning & Ernst Fricke & Herbert Negele, 2006. "Key concepts in modeling product development processes," Systems Engineering, John Wiley & Sons, vol. 9(2), pages 104-128, June.
    9. M. D. Guenov & S. G. Barker, 2005. "Application of axiomatic design and design structure matrix to the decomposition of engineering systems," Systems Engineering, John Wiley & Sons, vol. 8(1), pages 29-40.
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    15. Young‐Don Shin & Sang‐Hyun Sim & Jae‐Chon Lee, 2017. "Model‐Based Integration of Test and Evaluation Process and System Safety Process for Development of Safety‐Critical Weapon Systems," Systems Engineering, John Wiley & Sons, vol. 20(3), pages 257-279, May.
    16. Eckert, Claudia M. & Keller, René & Earl, Chris & Clarkson, P. John, 2006. "Supporting change processes in design: Complexity, prediction and reliability," Reliability Engineering and System Safety, Elsevier, vol. 91(12), pages 1521-1534.
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