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A framework for analysing supply chain performance evaluation models

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  • Estampe, Dominique
  • Lamouri, Samir
  • Paris, Jean-Luc
  • Brahim-Djelloul, Sakina

Abstract

Supply chain management creates value for companies, customers and stakeholders interacting throughout a supply chain. The strategic dimension of supply chains makes it paramount that their performances are measured. In today's performance evaluation processes, companies tend to refer to several models that will differ in terms of corporate organisation, the distribution of responsibilities and supply chain maturity. The present article analyzes various models used to assess supply chains by highlighting their specific characteristics and applicability in different contexts. It also offers an analytical grid breaking these models down into seven layers. This grid will help managers evolve towards a model that is more suitable for their needs.

Suggested Citation

  • Estampe, Dominique & Lamouri, Samir & Paris, Jean-Luc & Brahim-Djelloul, Sakina, 2013. "A framework for analysing supply chain performance evaluation models," International Journal of Production Economics, Elsevier, vol. 142(2), pages 247-258.
    • Handle: RePEc:eee:proeco:v:142:y:2013:i:2:p:247-258
    DOI: 10.1016/j.ijpe.2010.11.024
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    References listed on IDEAS

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    1. Hau L. Lee & Kut C. So & Christopher S. Tang, 2000. "The Value of Information Sharing in a Two-Level Supply Chain," Management Science, INFORMS, vol. 46(5), pages 626-643, May.
    2. Ducq, Yves & Vallespir, Bruno & Doumeingts, Guy, 2001. "Coherence analysis methods for production systems by performance aggregation," International Journal of Production Economics, Elsevier, vol. 69(1), pages 23-37, January.
    3. Ulusoy, Gunduz, 2003. "An assessment of supply chain and innovation management practices in the manufacturing industries in Turkey," International Journal of Production Economics, Elsevier, vol. 86(3), pages 251-270, December.
    4. Bititci, Umit S., 1995. "Modelling of performance measurement systems in manufacturing enterprises," International Journal of Production Economics, Elsevier, vol. 42(2), pages 137-147, December.
    5. Beamon, Benita M., 1998. "Supply chain design and analysis:: Models and methods," International Journal of Production Economics, Elsevier, vol. 55(3), pages 281-294, August.
    6. Schmitz, J. & Platts, K. W., 2004. "Supplier logistics performance measurement: Indications from a study in the automotive industry," International Journal of Production Economics, Elsevier, vol. 89(2), pages 231-243, May.
    7. Jerôme Chandes & Dominique Estampe, 2003. "Logistics Performance of Actors in the Wine Supply Chain," Post-Print hal-00767174, HAL.
    8. Gunasekaran, A. & Patel, C. & McGaughey, Ronald E., 2004. "A framework for supply chain performance measurement," International Journal of Production Economics, Elsevier, vol. 87(3), pages 333-347, February.
    9. Comelli, Mickael & Féniès, Pierre & Tchernev, Nikolay, 2008. "A combined financial and physical flows evaluation for logistic process and tactical production planning: Application in a company supply chain," International Journal of Production Economics, Elsevier, vol. 112(1), pages 77-95, March.
    10. Nathalie Fabbe-Costes, 2002. "Evaluer la création de valeur du supply chain management," Post-Print hal-01237327, HAL.
    Full references (including those not matched with items on IDEAS)

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