Abstract
In this paper we want to share our findings from our industrial experience in the field of system design, more precisely in production system design. We start by the observation that many rigorous designs of production systems are not facing the implementation success they suggest. We indicate three basic reasons for this: limited stakeholder involvement, lack of out-of-the-box thinking and the dominance of financial and technical evaluation criteria. Based on these findings, we suggest a five step approach: the stakeholder analysis, the definition of key performance indicators, the scenario generation, the scenario ranking and the scenario implementation.
Chapter PDF
References
Beyan, O.D., Baykal, N.: A knowledge based search tool for performance measures in health care systems. Journal of Medical Systems 36(1), 201–221 (2012)
Brailsford, S.C.: System dynamics: What’s in it for healthcare simulation modelers? In: Simulation Conference, WSC 2008, pp. 1478–1483. IEEE (Winter 2008)
Brailsford, S.C., Lattimer, V., Tarnaras, P., Turnbull, J.: Emergency and on-demand health care: modelling a large complex system. Journal of the Operational Research Society 55(1), 34–42 (2004)
Clarkson, P.J., Buckle, P., Coleman, R., Stubbs, D., Ward, J., Jarrett, J., Lane, R., Bound, J.: Design for patient safety: a review of the effectiveness of design in the UK health service. Journal of Engineering Design 15(2), 123–140 (2004)
Decouttere, C., Vandaele, N.: A broader view on health care system design and modelling, 2013, KBI Research Report 1323, KU Leuven 37 pp. (submitted for publication)
Donaldson, K., Ishii, K., Sheppard, S.: Customer value chain analysis. Research in Engineering Design 16(4), 174–183 (2006)
Elias, A.A., Cavana, R.Y., Jackson, L.S.: Stakeholder analysis for R&D project management. R&D Management 32(4), 301–310 (2002)
Freeman, R.E.: Strategic management: A stakeholder approach. Cambridge University Press (2010)
Lambrecht, M. R. and Vandaele, N. J. (1996). A general approximation for the single product lot sizing model with queueing delays. European Journal of Operational Research, 95(1):73 – 88.
Mitchell, R.K., Agle, B.R., Wood, D.J.: Toward a theory of stakeholder identification and salience: Defining the principle of who and what really counts. The Academy of Management Review 22(4), 853–886 (1997)
Solaimani, S., Guldemond, N., Bouwman, H.: Dynamic stakeholder interaction analysis: Innovative smart living design cases. Electronic Markets, 1–12 (2013)
Suri, R., Sanders, J., Kamath, M.: Performance evaluation of production networks. In: Logistics of Production and Inventory, Elsevier Science Publishers (1993)
Vandaele, N., Nieuwenhuyse, I.V., Cupers, S.: Optimal grouping for a nuclear magnetic resonance scanner by means of an open queueing model. European Journal of Operational Research 151(1), 181–192 (2003)
Vandaele, N., Landrieux, B., Decouttere, C.: The Sustainable Reconciliation between Technological, Financial and People Aspects in R&D Portfolio Management. In: Proceedings of the 6th IEEE International Conference on Management of Innovation and Technology, pp. 57–61 (2012)
Vandaele, N.J., Decouttere, C.J.: Sustainable R&D portfolio assessment. Decision Support Systems 54(4), 1521–1532 (2013)
Whitt, W.: The queueing network analyzer. The Bell System Technical Journal 62(9), 2779–2815 (1983)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2014 IFIP International Federation for Information Processing
About this paper
Cite this paper
Vandaele, N.J., Decouttere, C.J. (2014). A Framework for Production System Design: Insights from Industrial Experience. In: Grabot, B., Vallespir, B., Gomes, S., Bouras, A., Kiritsis, D. (eds) Advances in Production Management Systems. Innovative and Knowledge-Based Production Management in a Global-Local World. APMS 2014. IFIP Advances in Information and Communication Technology, vol 440. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-44733-8_10
Download citation
DOI: https://doi.org/10.1007/978-3-662-44733-8_10
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-662-44732-1
Online ISBN: 978-3-662-44733-8
eBook Packages: Computer ScienceComputer Science (R0)