Skip to main content
Log in

Modeling and managing engineering changes in a complex product development process

  • ORIGINAL ARTICLE
  • Published:
The International Journal of Advanced Manufacturing Technology Aims and scope Submit manuscript

Abstract

Today’s hypercompetitive worldwide market, demanding customers, and technological advances force corporations who develop new products to look into all the possible areas of improvement throughout the entire product life cycle management process. One of the research areas that have been overlooked in the past is engineering change management (ECM). This paper presents a simulation model for investigating the mutual impacts of ECM process and new product development (NPD) process on each other. The discrete event simulation model investigates how different NPD and ECM process characteristics are interrelated, and how these interactions eventually affect the lead time, cost, and quality of an NPD project. This model has the capacity to account for three different levels of uncertainties, namely activity uncertainty, design solution uncertainty, and environment uncertainty, and their effects on the probabilities of NPD rework. Decisions to be made by considering EC impacts are drawn from an enterprise level system perspective.

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

  1. Balakrishnan N, Chakravarty AK (1996) Managing engineering change: market opportunities and manufacturing costs. Prod Oper Manag 5(4):335–356

    Article  Google Scholar 

  2. Barzizza R, Caridi M, Cigolini R (2001) Engineering change: a theoretical assessment and a case study. Prod Plan Control 12(7):717–726

    Article  Google Scholar 

  3. Bhuiyan N, Gerwin D, Thomson V (2004) Simulation of the new product development process for performance improvement. Manag Sci 50(12):1690–1703

    Article  Google Scholar 

  4. Bhuiyan N, Gregory G, Thomson V (2006) Engineering change request management in a new product development process. Eur J Innov Manag 9(1):5–19

    Article  Google Scholar 

  5. Brown SL (1995) Product development: past research, present findings, and future directions. Acad Manag Rev 20(2):343–378

    Google Scholar 

  6. Browning TR, Eppinger SD (2002) Modeling impacts of process architecture on cost and schedule risk in product development. IEEE Trans Eng Manag 49(4):428–442

    Article  Google Scholar 

  7. Browning TR, Fricke E, Negele H (2006) Key concepts in modeling product development process. Syst Eng 9(2):104–128

    Article  Google Scholar 

  8. Browning TR, Ramasesh RV (2007) A survey of activity network-based process models for managing product development projects. J Prod Innovat Manag 16(2):160–172

    Google Scholar 

  9. Cho SH, Eppinger SD (2005) A simulation-based process model for managing complex design projects. IEEE Trans Eng Manag 52(3):316–328

    Article  Google Scholar 

  10. Dragut AB, Bertrand JWM (2008) A representation model for the solving-time. Eur J Oper Res 189(3):1217–1233

    Article  MATH  Google Scholar 

  11. Eckert C, Clarkson PJ, Zanker W (2004) Change and customisation in complex engineering domains. Res Eng Des 15(1):1–21

    Article  Google Scholar 

  12. Ford DN, Sterman JD (1998) Dynamic modeling of product development processes. Syst Dyn Rev 14(1):31–68

    Article  Google Scholar 

  13. Hillier FS, Lieberman GJ (2001) Simulation modeling & analysis, 4th edn. McGraw-Hill, New York

    Google Scholar 

  14. Ho CJ (1994) Evaluating the impact of frequent engineering changes on MRP system performance. Int J Prod Res 32(3):619–641

    Article  MATH  Google Scholar 

  15. Huang GQ, Mak KL (1994) Current practices of engineering change management in HK manufacturing industries. Int J Oper Prod Manag 19(1):21–37

    Article  Google Scholar 

  16. Krishnan V, Eppinger SD, Whitney DE (1997) A model-based framework to overlap product development activities. Manag Sci 43(4):437–451

    Article  MATH  Google Scholar 

  17. Law AM (2007) Simulation modeling & analysis, 4th edn. McGraw-Hill, New York

    Google Scholar 

  18. Lévárdy V, Browning TR (2009) An adaptive process model to support product development project management. IEEE Trans Eng Manag 56(4):600–620

    Article  Google Scholar 

  19. Loch CH, Terwiesch C (1999) Accelerating the process of engineering change orders: capacity and congestion effects. J Prod Innov Manag 16(2):145–159

    Article  Google Scholar 

  20. Smith RP, Eppinger SD (1997) A predictive model of sequential iteration in engineering design. Manag Sci 43(8):1104–1120

    Article  MATH  Google Scholar 

  21. Terwiesch C, Loch CH (1999) Managing the process of engineering change orders: the case of the climate control system in automobile development. J Prod Innov Manag 16(2):160–172

    Article  Google Scholar 

  22. Wynn DC, Grebici K, Clarkson PJ (2011) Modelling the evolution of uncertainty levels during design. Int J Interact Des Manuf 5:187–202

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Young B. Moon.

Appendices

Appendix A

Table 3 Possible NPD iterations and EECs after each decision point

Appendix B

Table 4 Rework threshold

Rights and permissions

Reprints and permissions

About this article

Cite this article

Li, W., Moon, Y.B. Modeling and managing engineering changes in a complex product development process. Int J Adv Manuf Technol 63, 863–874 (2012). https://doi.org/10.1007/s00170-012-3974-x

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s00170-012-3974-x

Keywords

Navigation