Skip to main content
Log in

DSM as a knowledge capture tool in CODE environment

  • Published:
Journal of Intelligent Manufacturing Aims and scope Submit manuscript

Abstract

A design structure matrix (DSM) provides a simple, compact, and visual representation of a complex system/ process. This paper shows how DSM, a system engineering tool, is applied as a knowledge capture (acquisition) tool in a generic NPD process. The acquired knowledge (identified in the DSM) is provided in the form of Questionnaires, which are organized into five performance indicators of the organization namely ‘Marketing’, ‘Technical’, ‘Financial’, ‘Resource Management’, and ‘Project Management’. Industrial application is carried out for knowledge validation. It is found form the application that the acquired knowledge helps NPD teams, managers and stakeholders to benchmark their NPD endeavor and select areas to focus their improvement efforts (up to 80% valid).

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Similar content being viewed by others

References

  • Anderson, D. M. (2004). Build-to-order and mass customization: The ultimate supply chain management and lean manufacturing strategy for low-cost on-demand production without forecasts or inventory (pp. 1–9). Cambria, California: CIM Press.

  • Biesner J., Brüggen G. (2005). The significance of knowledge management for a larger company. In: Davis J., Subrahmanian E., Westerberg A. (eds) Knowledge management: Organizational and technological dimensions. Heidelberg, New York, Physica-Verlag, pp. 159–167

    Google Scholar 

  • Browning, T. R. (1998). Use of dependency structure matrices for product development cycle time reduction. In Proceeding of the fifth ISPE international conference on concurrent engineering: Research and application, Tokyo, Japan, July 15–17.

  • Browning, T. R. (1999a). The design structure matrix. In R. C. Dorf (Ed.), Technology management handbook (pp. 103–111). Chapman & Hall/CRCnet-BASE: Boca Raton, Fl

  • Browning, T. R. (1999b). Modeling and analyzing cost, schedule, and performance in complex system product development. Ph.D. Thesis, Sloan School of Management, MIT.

  • Browning T.R. (2001). Applying the design structure matrix to system decomposition and integration problems: A review and new directions. IEEE Transactions on Engineering Management 48(3): 292–306

    Article  Google Scholar 

  • Chandra C., Kamrani A. (2004). Mass customization: A supply chain approach (v–vii). New York, Kluwer Academic/Plenum Publishers

    Google Scholar 

  • Cheng F., Ettl M., Lin G., Yao D.D. (2002). Inventory-service optimization in configure-to-order systems. Manufacturing and Service Operations Management 4, 114–132

    Article  Google Scholar 

  • Davis J., Subrahmanian E., Westerberg A. (eds) (2005). Knowledge management: Organizational and technological dimensions (v–vii). New York, Physica-Verlag Heidelberg

    Google Scholar 

  • Defense Systems Management College. (1990). Systems Engineering Management Guide, DSMC.

  • Denker S., Steward D., Browning T. (1999). Planning concurrency and managing iteration in projects. Center for Quality of Management Journal 8(2): 55–62

    Google Scholar 

  • Dong, Q. (1999). Representing information flow and knowledge management in product design using the design structure matrix. Masters Thesis, M.I.T.

  • Eppinger, S. D., Whitney, D. E., Smith, R. P., & Gebala, D. (1990). Organizing the tasks in complex design projects. In ASME conference on design theory and methodology (pp. 39–46). Chicago, IL, September.

  • Eppinger S.D., Whitney D.E., Smith R.P., Gebala D. (1994). A model-based method for organizing tasks in product development. Research in Engineering Design 6, 1–13

    Article  Google Scholar 

  • Fernando, E. P. C. (1969). Use of interdependency matrix for expediting implementation of an integrated development programme in a developing Country. In Proceedings of the second international congress for project planning by network analysis (pp. 76–85). Amsterdam.

  • Grose, D. L. (1994). Reengineering the aircraft design process. In Proceedings of the fifth AIAA/USAF/NASA/ISSMO symposium on multidisciplinary analysis and optimization. Panama City Beach, FL, September 7–9.

  • Hayes, M. (1969). The role of activity precedence relationships in node-oriented networks. Proceedings of the second international congress for project planning by network analysis (pp. 128–146). Amsterdam.

  • Lorsch, J.W., & Lawrence, P. R. (1972). Managing group and intergroup relations. Irwin Series in Management and the Behavioral Sciences, Homewood, III.: Richard D. Irwin.

  • MIT DSM website. (2005). Address: http://www.dsmweb.org/, viewed: July 27, 2005.

  • Project Management Institute. (2004). A guide to the project management body of knowledge: PMBOK ® guide. Pennsylvania, USA: Project Management Institute, Inc.

  • Rogers, J. L. (1996). Integrating a generic algorithm into a knowledge-based system for ordering complex design processes. NASA, Hampton, VA, Technical Manual TM-110247, April.

  • Sharif, S. A. (2006). Development of an enterprise knowledge base (EKB) framework for new product development (NPD) in customer order driven engineering (CODE) environment. Masters (Research) Thesis, School of Mechanical and Manufacturing Engineering, The University of New South Wales, Sydney, NSW 2052, Australia.

  • Steward D.V. (1981a). The design structure system: A method for managing the design of complex systems. IEEE Transactions on Engineering Management 28(3): 71–74

    Google Scholar 

  • Steward D.V. (1981b). Systems analysis and management: Structure, strategy, and design. NJ, Petrocelli Books

    Google Scholar 

  • Tham, K. M. (2006). Implementing concurrent engineering with integration of intelligent agent based system in complex product. School of Mechanical and Manufacturing Engineering, The University of New South Wales, Sydney, NSW 2052, Australia.

  • Tham, K. M., Sharif, S. A., & Kayis, B. (2006). Enterprise knowledge based database (KBDB) for new product development (NPD) process. The 3rd IEEE International Conference on Management of Innovation and Technology (ICMIT 2006) (pp. 427–431). 21–23 June, Singapore.

  • Warfield J.N. (1976) Social systems: Planning, policy, and complexity. New York, John Wiley & Sons

    Google Scholar 

  • Yassine A., Falkenburg D., Chelst K. (1999). Engineering design management: An information structure approach. International Journal of Production Research 37(19): 2957–2975

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Syed A. Sharif.

Rights and permissions

Reprints and permissions

About this article

Cite this article

Sharif, S.A., Kayis, B. DSM as a knowledge capture tool in CODE environment. J Intell Manuf 18, 497–504 (2007). https://doi.org/10.1007/s10845-007-0058-0

Download citation

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s10845-007-0058-0

Keywords

Navigation