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The development of a dynamic supply chain analysis tool--Integration of SCOR and discrete event simulation

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  • Persson, Fredrik
  • Araldi, Mirko

Abstract

The supply chain operations reference (SCOR) model is developed and maintained by the supply chain council (SCC). The SCOR model is a reference model that can be used to map, benchmark, and improve supply chain operations. SCOR provides companies with a basic process modelling tool, an extensive benchmark database, and defines a set of supply chain metrics. The software ARENA is a commercial simulation tool that can be used for simulation modelling in various applications. An integration of SCOR and ARENA provides the supply chain analyst with a comprehensive and dynamic tool. This paper reports on the ongoing work to integrate the SCOR methodology and a discrete event simulation tool. SCOR is basically used to study the static operations of a supply chain. However, there is also a need to study the dynamic effects e.g. of changes in production rate, poor quality in raw materials, and other effects related to the "bullwhip" behaviour of a supply chain.

Suggested Citation

  • Persson, Fredrik & Araldi, Mirko, 2009. "The development of a dynamic supply chain analysis tool--Integration of SCOR and discrete event simulation," International Journal of Production Economics, Elsevier, vol. 121(2), pages 574-583, October.
    • Handle: RePEc:eee:proeco:v:121:y:2009:i:2:p:574-583
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    References listed on IDEAS

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    1. Goetschalckx, Marc & Vidal, Carlos J. & Dogan, Koray, 2002. "Modeling and design of global logistics systems: A review of integrated strategic and tactical models and design algorithms," European Journal of Operational Research, Elsevier, vol. 143(1), pages 1-18, November.
    2. Fandel, G. & Stammen, M., 2004. "A general model for extended strategic supply chain management with emphasis on product life cycles including development and recycling," International Journal of Production Economics, Elsevier, vol. 89(3), pages 293-308, June.
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    2. Trigos, Federico & Vazquez, Alan R. & Cárdenas-Barrón, Leopoldo Eduardo, 2019. "A simulation-based heuristic that promotes business profit while increasing the perceived quality of service industries," International Journal of Production Economics, Elsevier, vol. 211(C), pages 60-70.
    3. Gumus, Alev Taskin & Guneri, Ali Fuat & Ulengin, Fusun, 2010. "A new methodology for multi-echelon inventory management in stochastic and neuro-fuzzy environments," International Journal of Production Economics, Elsevier, vol. 128(1), pages 248-260, November.
    4. Benoit Montreuil & Caroline Cloutier & Olivier Labarthe & Jonathan Loubier, 2015. "Holistic modelling, simulation and visualisation of demand and supply chains," International Journal of Business Performance and Supply Chain Modelling, Inderscience Enterprises Ltd, vol. 7(1), pages 53-70.
    5. Ntabe, E.N. & LeBel, L. & Munson, A.D. & Santa-Eulalia, L.A., 2015. "A systematic literature review of the supply chain operations reference (SCOR) model application with special attention to environmental issues," International Journal of Production Economics, Elsevier, vol. 169(C), pages 310-332.
    6. Persson, Fredrik, 2011. "SCOR template--A simulation based dynamic supply chain analysis tool," International Journal of Production Economics, Elsevier, vol. 131(1), pages 288-294, May.

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    Simulation SCOR ARENA Supply chain;

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