Advertisement

An Enhanced Interface Analysis Method for Engineering Change Management

  • Unal YildirimEmail author
  • Felician Campean
Conference paper
Part of the Lecture Notes in Production Engineering book series (LNPE)

Abstract

The complexity of automotive systems has increased dramatically, driven by the requirement to address environmental and safety concerns and the pressure to offer higher level consumer technologies. This places a great challenge on product development organizations to manage the multidisciplinary systems integration in a reliable and robust manner. Engineering changes, which are integral part of the iterative automotive product development process, need to be managed in a way that efficiently addresses the integration requirements of complex multidisciplinary systems. The aim of this paper is to present a structured approach for engineering change management which is based on an enhanced interface analysis method which aims to identify comprehensively the system integration functional requirements as the basis for both engineering change prediction and support of robust engineering change design. The framework will be illustrated with an industrial case study on the development of an electric vehicle powertrain. The effectiveness of the proposed approach will be discussed in contrast with other methods for engineering change management.

Keywords

Interface Matrix Interface Analysis Table ECM 

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. 1.
    Cash, P.A.: Right first time production releases. MSc thesis, University of Bradford (2003)Google Scholar
  2. 2.
    Wasmer, A., et al.: An industry approach to shared, cross-organizational engineering change handling—The road towards standards for product data processing. Computer-Aided Design (2010), doi: 10.1016/j.cad.2010.10.002Google Scholar
  3. 3.
    Webb, R.D.: Investigation into the application of robustness and reliability tools to the design process. MSc thesis, University of Bradford (2002)Google Scholar
  4. 4.
    Clarkson, P.J., Simons, C., Eckert, C.: Predicting change propagation in complex design. In: ASME 2001 Design Engineering Technical Conferences and Computers and Information in Engineering Conference, Proceedings of DETC 2001, Pittsburgh, September 9-12 (2001)Google Scholar
  5. 5.
    Clarkson, J., Simons, C., Eckert, C.: Change prediction for product redesign. In: International Conference on Design-ICED 2001, Conference Proceedings, Glasgow, August 21-23 (2001)Google Scholar
  6. 6.
    Jarratt, T., Eckert, C., Clarkson, P.J.: Development of a product model to support engineering change management. In: Proceedings of the TCME 2004, Lausanne, April 12-16 (2004) Google Scholar
  7. 7.
    Jarratt, T.A.W.: A model-based approach to support the management of engineering change. PhD thesis, University of Cambridge (2004)Google Scholar
  8. 8.
    Browning, T.R.: Applying the design structure matrix to system decomposition and integration problems: A review and new directions. IEEE Transactions on Engineering Management, Conference Proceedings, Processing 48(3), 292–306 (2001)Google Scholar
  9. 9.
    Danilovic, M., Browning, T.R.: Managing complex product development projects with design structure matrices and domain mapping matrices. International Journal of Management 25, 300–314 (2007)Google Scholar
  10. 10.
    Henshall, E., Campean, F.: Implementing failure mode avoidance. Society of Automotive Engineers Technical paper: 2009-01-0990 (2009)Google Scholar
  11. 11.
    Campean, I.F., Henshall, E., Brunson, D.: Failure mode avoidance paradigm in automotive engineering design. In: International Congress on Automotive and Transport Engineering – CONAT, Conference Proceedings, Brasov, October 25-27, pp. 207–214 (2010) Google Scholar
  12. 12.
    Albers, A., Braun, A., Clarkson, P.J., Enkler, H.-J., Wynn, D.: Contact and channel modelling to support early design of technical systems. In: International Conference on Engineering Design – ICED 2009, Stanford, August 24-27 (2009)Google Scholar
  13. 13.
    Albers, A., Oerding, J., Alink, T.: Abstract objectives can become more tangible with the contact and channel model (C&CM). In: Models and Methods for Variation Management in Global Product Development: Proceedings of the 20th CIRP Design Conference, Ecole Centrale de Nantes, Nantes, pp. 203–213. Springer, Berlin (2011)Google Scholar
  14. 14.
    Pahl, G., Beitz, W., Feldhusen, J., Grote, K.H.: Engineering Design: A systematic approach, 3rd edn. Springer, London (2007)Google Scholar
  15. 15.
    Pimmler, T.U., Eppinger, S.D.: Integration analysis of product decompositions. In: ASME Design Theory and Methodology Conference, Minneapolis (September 1994)Google Scholar
  16. 16.
    Campean, I.F., Henshall, E., Brunson, D., Day, A., McLellan, R., Hartley, J.: A structured approach for function analysis of complex automotive systems. Society of Automotive Engineers Technical paper: 2011-01-1268 (2011)Google Scholar
  17. 17.
    Campean, I.F., Henshall, E.J.: Systems Engineering Design through Failure Mode Avoidance – an Automotive Industry Perspective. In: Proceedings of the 1st International Conference on Through-life Engineering Services, pp. 99–107 (2012)Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2013

Authors and Affiliations

  1. 1.University of BradfordBradfordUK

Personalised recommendations