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SCML: An information framework to support supply chain modeling

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  • Chatfield, Dean C.
  • Harrison, Terry P.
  • Hayya, Jack C.

Abstract

We develop an open information standard to assist supply chain modeling, analysis, and decision support. The Supply Chain Modeling Language (SCML) is a platform- and methodology-independent Extensible Markup Language (XML)-based markup language for storing supply chain structural and managerial information. SCML enables supply chain problem instance reuse and sharing, provides a common format for analytical software interoperability, and can improve the quality of the supply chain description. We develop several pieces of software to aid both users and developers in the utilization of SCML. We demonstrate SCML's applicability by developing a supply chain simulation tool (SISCO) that utilizes the SCML format.

Suggested Citation

  • Chatfield, Dean C. & Harrison, Terry P. & Hayya, Jack C., 2009. "SCML: An information framework to support supply chain modeling," European Journal of Operational Research, Elsevier, vol. 196(2), pages 651-660, July.
    • Handle: RePEc:eee:ejores:v:196:y:2009:i:2:p:651-660
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    References listed on IDEAS

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    1. Dejonckheere, J. & Disney, S. M. & Lambrecht, M. R. & Towill, D. R., 2003. "Measuring and avoiding the bullwhip effect: A control theoretic approach," European Journal of Operational Research, Elsevier, vol. 147(3), pages 567-590, June.
    2. Frank Chen & Zvi Drezner & Jennifer K. Ryan & David Simchi-Levi, 2000. "Quantifying the Bullwhip Effect in a Simple Supply Chain: The Impact of Forecasting, Lead Times, and Information," Management Science, INFORMS, vol. 46(3), pages 436-443, March.
    3. van Houtum, G. J. & Inderfurth, K. & Zijm, W. H. M., 1996. "Materials coordination in stochastic multi-echelon systems," European Journal of Operational Research, Elsevier, vol. 95(1), pages 1-23, November.
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    2. Roberto Dominguez & Salvatore Cannella, 2020. "Insights on Multi-Agent Systems Applications for Supply Chain Management," Sustainability, MDPI, vol. 12(5), pages 1-13, March.

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