A Concept of Simulation-based SC Performance Analysis Using SCOR Metrics

Irīna Šitova, Jeļena Pečerska

Abstract


The paper discusses a common approach to describing and analysing supply chains between simulation specialists and supply chain managers, which is based on Supply Chain Operations Reference (SCOR) model indicators and metrics. SCOR is a reference model of supply chain business processes. It is based on best practices and used in various business areas of supply chains. Supply chain performance indicators are defined by numerous measurable SCOR metrics. Some metrics can be estimated with simulation models. For an efficient supply chain analysis, one should evaluate the conformity of SCOR metrics with simulation-based assessment of performance indicators. Analysing projects in Supply Chain (SC) modelling area as well as analysing types of simulation results enables one to assess the conformity of the simulation-based performance indicators with SCOR model metrics of different levels. Supply chain simulation modelling coordinated with the SCOR model expands the scope of simulation model applications for analysing supply chain performance indicators. It helps one estimate specific metrics with simulation results.


Keywords:

Performance measures; SCOR metrics; SCOR model; simulation supply chain; supply chain management

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References


Supply Chain Council, Inc., Supply Chain Operations Reference Model. Revision 11.0. Supply Chain Council, Inc., 2012.

F. Campuzano and J. Mula, Supply Chain Simulation: A System Dynamics Approach for Improving Performance. Springer, 2011.

L. D. Fredendall and E. Hill, Basics of Supply Chain Management, The St. Lucie Press and APICS Series on Resource Management, 2001.

J. Merkurjevs, J. Pečerska and J. Tolujevs, “Simulation-Based Analysis of Logistic Systems,” Humanities and Social Sciences, vol. 4, no. 57, pp. 27–48, 2008.

S. Robinson, “A Tutorial on Conceptual Modeling for Simulation,” in Proceedings of the 2015 Winter Simulation Conference (WSC), Dec. 2015. https://doi.org/10.1109/wsc.2015.7408298

F. Persson, C. Bartoll, A. Ganovic, M. Lidberg, M. Nilsson, J. Wibaeus and F. Winge, “Supply Chain Dynamics in the SCOR Model – a Simulation Modeling Approach,” in Proceedings of the 2012 Winter Simulation Conference, 2012. https://doi.org/10.1109/wsc.2012.6465030

S. Robinson, R. Brooks, K. Kotiadis and D. J. van der Zee, Conceptual Modeling for Discrete-Event Simulation. Francis Group, LLC, 2011.

F. Persson and M. Araldi, “The Development of a Dynamic Supply Chain Analysis Tool – Integration of SCOR and Discrete Event Simulation,” International Journal of Production Economics, vol. 121, no. 2, pp. 574– 583, Oct. 2009. https://doi.org/10.1016/j.ijpe.2006.12.064

F. Persson, “SCOR Template – a Simulation Based Dynamic Supply Chain Analysis Tool,” International Journal of Production Economics, vol. 131, no. 1, pp. 288–294, May 2011. https://doi.org/10.1016/j.ijpe.2010.09.029

Gensym [Online]. Available: http://www.gensym.com/solutions/g2-enterprise-applications/escor/

M. W. Barnett and C. J. Miller, “Analysis of the Virtual Enterprise Using Distributed Supply Chain Modeling and Simulation: An Application of E-SCOR,” in Proceedings of the 2000 Winter Simulation Conference, 2000. https://doi.org/10.1109/wsc.2000.899738

J. Dong, H. Ding, C. Ren and W. Wang, “IBM SmartSCOR – A SCOR Based Supply Chain Transformation Platform Through Simulation and Optimization Techniques,” in Proceedings of the 2006 Winter Simulation Conference, 2006. https://doi.org/10.1109/wsc.2006.323142

G. Pundoor and J. W. Herrmann, “A hierarchical approach to supply chain simulation modelling using the Supply Chain Operations Reference model,” International Journal of Simulation and Process Modelling, vol. 2, no. 3/4, p. 124, 2006. https://doi.org/10.1504/ijspm.2006.012641

C. Chandra and J. Grabis, Supply Chain Configuration. Concepts, Solutions, and Applications. Springer, 2007.

A. R. Ravindran, Operations Research and Management Science Handbook. NY: CRC Press, 2008.

S. Robinson, Simulation: The Practice of Model Development and Use. Chichester: John Wiley & Sons Ltd, 2004.

M. Pidd, Systems Modelling: Theory and Practice. Chichester: John Wiley & Sons Ltd, 2004.

A. M. Law and W. Kelton, Simulation Modeling and Analysis, Third ed. Mc Graw Hill Osborne, 2000.

P. Bolstorff and R. Rosenbaum, Supply Chain Excellence: A Handbook for Dramatic Improvement Using the SCOR Model, Third ed. Amacon, 2012.

S. Chopra and P. Meindl, Supply Chain Management: Strategy, Planning, and Operations, Fifth ed. Pearson, 2013.

D. Simchi-Levi and P. Kaminsky, Managing the Supply Chain: The Definitive Guide for the Business. The McGraw-Hill Companies, 2004.

C. G. Cassandras and S. Lafortune, Introduction to Discrete Event Systems, Second ed. Springer Science+Business Media, LLC, pp. 573– 574, 2008.


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