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Data-Based Method for the Implementation Planning of Engineering Changes in the Automotive Industry

Published online by Cambridge University Press:  26 May 2022

R. Capistrano Burgos ,
F. Sippl ,
O. Radisic-Aberger  and
T. Weisser
R. Capistrano Burgos*
Affiliation:
Technical University of Munich, Germany
F. Sippl
Affiliation:
Technical University of Munich, Germany
O. Radisic-Aberger
Affiliation:
University of Siegen, Germany
T. Weisser
Affiliation:
University of Siegen, Germany
*
raquelcapistranob@gmail.com

Abstract

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Each year, automotive OEMs implement a variety of Engineering Changes (ECs) in their production. In the timing of ECs, different KPIs are often in conflict with one another or even unknown to the OEMs. Therefore, OEMs struggle to identify the optimal date to implement an EC. This paper presents a method to determine the cost-optimal implementation date for each EC, considering time, cost, and quality KPIs based on a new EC classification rule-set. To evaluate the presented method, case-studies at a German automotive OEM were performed, two of which are discussed.

Keywords

engineering changechange managementcost managementimplementation planning
Type
Article
Information
Proceedings of the Design Society , Volume 2: DESIGN2022 , May 2022 , pp. 343 - 352
Creative Commons
Creative Common License - CCCreative Common License - BYCreative Common License - NCCreative Common License - ND
This is an Open Access article, distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivatives licence (http://creativecommons.org/licenses/by-nc-nd/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is unaltered and is properly cited. The written permission of Cambridge University Press must be obtained for commercial re-use or in order to create a derivative work.
Copyright
The Author(s), 2022.

References

Balakrishnan, N. and Chakravarty, A. K. (1996), “Managing engineering change: market opportunities and manufacturing costs”, Production and Operations Management, Vol. 5 No. 4, pp. 335–356. 10.1111/j.1937-5956.1996.tb00404.xCrossRefGoogle Scholar
Balcerak, K. J. and Dale, B. G. (1992), “Engineering change administration: the key issues”, Computer Integrated Manufacturing Systems, Vol. 5 No. 2, pp. 125–132. 10.1016/0951-5240(92)90007-YGoogle Scholar
Barzizza, R., Caridi, M. and Cigolini, R. (2001), “Engineering change: A theoretical assessment and a case study”, Production Planning & Control, Vol. 12 No. 7, pp. 717–726. 10.1080/09537280010024054Google Scholar
Bhuiyan, N., Gatard, G. and Thomson, V. (2006), “Engineering change request management in a new product development process”, European Journal of Innovation Management, Vol. 9 No. 1, pp. 5–19. 10.1080/09537280010024054Google Scholar
Clark, K. B. and Fujimoto, T. (1991), Product Development Performance: Strategy, Organization, and Management in the World Auto Industry, Harvard Business School Press, Boston.Google Scholar
Cusumano, M. A. and Selby, R. W. (1998), Microsoft Secrets: How the World's Most Powerful Software Company Creates Technology, Shapes Markets, and Manages People, Simon & Schuster, New York.Google Scholar
Diprima, M. (1982), “Engineering change control and implementation considerations”, Production & Inventory Management, Vol. 23 No. 1, pp. 81–87.Google Scholar
Hamraz, B., Caldewll, N. H. M. and Clarkson, P. J. (2013), “A holistic categorization framework for literature on engineering change management”, Systems Engineering, Vol. 16 No. 4, pp. 473–505. 10.1002/sys.21244CrossRefGoogle Scholar
Jania, T. (2004), Änderungsmanagement auf Basis eines integrierten Prozess- und Produktdatenmodells mit dem Ziel einer durchgängigen Komplexitätsbewertung, [PhD Thesis], University of Paderborn.Google Scholar
Jarratt, T. A. W., Eckert, C. M., Caldwell, N. H. M. and Clarkson, P. J. (2011), “Engineering change: An overview and perspective on the literature”, Research in Engineering Design, Vol. 22 No. 2, pp. 103–124. 10.1007/s00163-010-0097-yGoogle Scholar
Jin, Y. L. and Tang, T. (2013), “Research on manufacturing engineering change implementation planning”, Advanced Materials Research, Vol. 658, pp. 460–463. 10.4028/www.scientific.net/AMR.658.460Google Scholar
Meissner, M., Jacobs, G., Jagla, P. and Sprehe, J. (2021), “Model based systems engineering as enabler for rapid engineering change management”, Procedia CIRP, Vol. 100, pp. 61–66. 10.1016/j.procir.2021.05.010CrossRefGoogle Scholar
Oh, G. and Hong, Y. S. (2017), “Change propagation management by active batching”, Proceedings of the 21st International Conference on Engineering Design (ICED17), Vancouver, Canada, August 21-25, 2017, Vol. 4, pp. 613–622.Google Scholar
Barroso, Pimentel, P. (2019), Engineering Change Management Framework for Products with Multiple Parts and Sub-System Assembly Produced as High Volume at Small-Time Rate, [PhD Thesis], Federal University of Santa Catarina.Google Scholar
Shiau, J.Y. and Li, X. (2009), “Product configuration for engineering change decision”, Proceedings of the 2009 International Conference on Networking, Sensing and Control, Okayama, Japan, March 26-29, 2009, IEEE, pp. 691–696. 10.1109/ICNSC.2009.4919361Google Scholar
Schuh, G., Aleksic, S. and Arnoscht, J. (2013), “Module based release planning for technical changes”, 2013 Proceedings of PICMET'13: Technology Management in the IT-driven Services, San Jose, California, July 28- August 1, 2013, IEEE, New York, pp. 1604–1617.Google Scholar
Schuh, G., Prote, J.P., Luckert, M., Basse, F., Thomson, V. et al. . (2018), “Adaptive design of engineering change management in highly iterative product development”, Procedia CIRP, Vol. 70, pp. 72–77. 10.1016/j.procir.2017.01.025CrossRefGoogle Scholar
Singer, C. (2018), “Methods for change management in automotive release processes”, In: Winner, H., Prokop, G., and Maurer, M. (Eds.), Automotive Systems Engineering II, Springer International Publishing, Cham, pp. 31–58. 10.1016/j.procir.2018.02.016CrossRefGoogle Scholar
Stekolschik, A. (2016), “Engineering change management method framework in mechanical engineering”, IOP Conference Series: Materials Science and Engineering, Vol. 157. 10.1088/1757-899X/157/1/012008Google Scholar
Vom Brocke, J., Simons, A., Niehaves, B., Riemer, K., Plattfaut, R. et al. . (2009), “Reconstructing the giant: On the importance of rigour in documenting the literature search process”, Proceedings of the European Conference on Information Systems (ECIS) 2009.Google Scholar
Wänström, C. and Jonsson, P. (2006), “The impact of engineering changes on materials planning”, Journal of Manufacturing Technology Management, Vol. 17 No. 5, pp. 561–584. 10.1108/17410380610668522CrossRefGoogle Scholar
Wänström, C., Lind, F. and Wintertidh, O. (2006), “Creating a model to facilitate the allocation of materials planning resources in engineering change situations”, International Journal of Production Research, Vol. 44 No. 18-19, pp. 3775–3796. 10.1080/00207540600622506Google Scholar
Wong, W. K. O. (2017), Automotive Global Value Chain: The Rise of Mega Suppliers, Routledge, London.Google Scholar