Abstract
Manufacturing enterprises are facing a competitive challenge. This paper proposes the use of a value chain based approach to support the modelling and simulation of manufacturing enterprise processes. The aim is to help experts to make relevant decisions on product design and/or product manufacturing process planning. This decision tool is based on the value chain modelling, by considering the product requirements. In order to evaluate several performance indicators, a simulation of various potential value chains adapted to market demand was conducted through a Value Chains Simulator (VCS). A discrete event simulator is used to perform the simulation of these scenarios and to evaluate the value as a global performance criterion (balancing cost, quality, delivery time, services, etc.). An Analytical Hierarchy Process module supports the analysis process. The value chain model is based on activities and uses the concepts of resource consumption, while integrating the benefiting entities view point. A case study in the microelectronic field is carried out to corroborate the validity of the proposed VCS.
This is a preview of subscription content, log in via an institution to check access.
Similar content being viewed by others
References
Ayag Z., R.G. (2006) A fuzzy AHP approach to evaluating machine tool alternatives. Journal of Intelligent Manufacturing 17: 179–190
Ayag Z. (2007) A hybrid approach to machine-tool selection through AHP and simulation. International Journal of Production Research 45-9: 2029–2050
Bennour M., Crestani D. (2007) Using competencies in performance estimation: From the activity to the process. Computers in Industry 58-2: 151–163
Bernard, A., Labrousse, M., & Perry, N. (2005) LC universal model for the enterprise information system structure. In: D. Brissaud, S. Tichkiewitch, & P. Zwolinski (Eds.), Innovation in life cycle engineering and sustainable development (pp. 429–446). Springer, ISBN: 1-4020-4601-4.
Bernard A., Perry N. (2003) Fundamental concepts of product/technology/process informational integration for process modelling and process planning. International Journal of Computer Integrated Manufacturing 16–7/8: 557–565
Berrah L., Mauris G., Haurat A., Foulloy L. (2000) Global vision and performance indicators for an industrial improvement approach. Computers in Industry 43: 211–225
Chen K. S., Huang M. L. (2006) Performance measurement for a manufacturing system based on quality, cost and time. International Journal of Production Research 44-11: 2221–2243
Elhamdi, M. (2005). Modélisation et simulation de chaînes de valeurs en entreprise—Une approche dynamique des systèmes et aide à la décision : SimulValor. Ph.D in Industrial Engineering of Ecole Centrale Paris, France.
Gunasekaran A., Marri H. B., Grieve R. J. (1999) Activity based costing in small and medium enterprises. Computers & Industrial Engineering 37: 407–411
Huber Swinarski, Z., Morard, B., & Pauli, N. (2000). Les inducteurs de coût et l’approximation des coûts par produits: application dans le secteur hospitalier. Working paper from Ecole des Hautes Etudes Commerciales, Université de Genève.
Keeney R., Raiffa H. (1993) Decisions with multiple objectives. Preferences and value tradeoffs. Cambridge University Press, Cambridge
Labrousse, M. (2004). Proposition d’un modèle conceptuel unifié pour la gestion dynamique des connaissances d’entreprise. Ph.D. Thesis in Mechanical Engineering from Université et Ecole Centrale de Nantes, Nantes, France.
Lian Y.-H., Van Landeghem H. (2007) Analysing the effects of Lean manufacturing using a value stream mapping-based simulation generator. International Journal of Production Research 45-13: 3037–3058
Lonchampt, P. (2004). Co-évolution et processus de conception intégrée de produits : Modèle et support de l’activité de conception. Ph.D in Industrial Engineering of INPG, France.
Lonchampt, P., Prudhomme, G., Brissaud D. (2002). Assessment of mechanical products during the conceptual design stage using value criteria. In IDMME 2002, Clermont-Ferrand, France, May 14–16.
Mauchand, M. (2007). Modélisation pour la simulation de chaînes de production de valeur en entreprise industrielle comme outil d’aide à la décision en phase de conception/ industrialisation. Ph.D. Thesis in Mechanical Engineering from Université de Nantes et Ecole Centrale de Nantes, Nantes, France.
Mauchand, M., Bernard A., Siadat A., & Perry N. (2007a). Enterprise processes performance analysis based on value chain modelling and simulation. In 2nd International conference on changeable, agile, reconfigurable and virtual production, CARV 2007, Toronto, Canada, July 22–24.
Mauchand, M., Siadat, A., Perry, N., & Bernard A. (2007b). Manufacturing system performance analysis based on value chain modelling and simulation. In 40th CIRP international seminar on manufacturing systems, Liverpool, May 30–June 1.
Mévellec, P. (2005). Les systèmes de coûts—Objectifs, paramètres de conception et analyse comparée. Paris: Dunod, ISBN 2 10 049474 0.
Mévellec P., Perry N. (2006) Whole life cycle cost: A new approach. International Journal of Product Lifecycle Management 1–4: 400–414
Miller, S., & Pegden, D. (2000). Introduction To manufacturing simulation. In: J. A. Joines, R. R. Barton, K. Kang, & P. A. Fishwick (Eds.), Proceedings of the 2000 winter simulation conference.
Olivares-Benitez E., Gonzalez-Velarde J. L. (2008) A metaheuristic approach for selecting a common platform for modular products based on product performance and manufacturing cost. Journal of Intelligent Manufacturing 19: 599–610
Otto K., Hölttä-Otto K. (2007) A multi-criteria assessment tool for screening preliminary product platform concepts. Journal of Intelligent Manufacturing 18: 59–75
Perrin, J. (2001). Analyse de la valeur et valeur économique des biens et services. Revue Française de Gestion Industrielle, 20(2)
Porter, M. (1985). Competitive advantage—Creating and sustaining superior performance. The Free Press, ISBN 0-02-925090-0.
Rabelo L., Eskandari H., Shaalan T., Helal M. (2007) Value chain analysis using hybrid simulation and AHP. International Journal of Production Economics 105: 536–547
Roy B., Vanderpooten D. (1996) The European school of MCDA: Emergence, basic features and current works. Journal of Multi-Criteria Decision Analysis 5: 22–38
Saaty T.L. (1980) The analytical hierarchy process. McGraw Hill, New York
Trick, M. A. (1995). An introduction to simulation. Carnegie Mellon University, Pittsburgh, http://mat.gsia.cmu.edu/simul/simul.html.
Yannou, B. (1999). Proposition de deux nouveaux outils d’aide à la décision en analyse de la valeur bases sur une définition opérationnelle de la valeur. La Valeur, 7–14.
Author information
Authors and Affiliations
Corresponding author
Rights and permissions
About this article
Cite this article
Bosch-Mauchand, M., Siadat, A., Perry, N. et al. VCS: value chains simulator, a tool for value analysis of manufacturing enterprise processes (a value-based decision support tool). J Intell Manuf 23, 1389–1402 (2012). https://doi.org/10.1007/s10845-010-0452-x
Received:
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s10845-010-0452-x