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A framework for analysing supply chain performance evaluation models

Author

Listed:
  • Dominique Estampe

    (Bordeaux Management School (BEM))

  • Samir Lamouri

    (LISMMA - Laboratoire d'Ingénierie des Systèmes Mécaniques et des MAtériaux - UP8 - Université Paris 8 Vincennes-Saint-Denis - SUPMECA - SUPMECA - Institut supérieur de mécanique de Paris)

  • Jean-Luc Paris

    (LIMOS - Laboratoire d'Informatique, de Modélisation et d'optimisation des Systèmes - UBP - Université Blaise Pascal - Clermont-Ferrand 2 - UdA - Université d'Auvergne - Clermont-Ferrand I - SIGMA Clermont - SIGMA Clermont - ENSM ST-ETIENNE - Ecole Nationale Supérieure des Mines de St Etienne - CNRS - Centre National de la Recherche Scientifique)

  • Sakina Brahim-Djelloul

    (Institut National de Commerce)

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

  • Dominique Estampe & Samir Lamouri & Jean-Luc Paris & Sakina Brahim-Djelloul, 2013. "A framework for analysing supply chain performance evaluation models," Post-Print hal-01910995, HAL.
  • Handle: RePEc:hal:journl:hal-01910995
    DOI: 10.1016/j.ijpe.2010.11.024
    Note: View the original document on HAL open archive server: https://hal.science/hal-01910995
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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. Craig Shepherd & Hannes Günter, 2006. "Measuring supply chain performance: current research and future directions," International Journal of Productivity and Performance Management, Emerald Group Publishing Limited, vol. 55(3/4), pages 242-258, April.
    3. 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.
    4. 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.
    5. 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.
    6. 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.
    7. 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.
    8. Jerôme Chandes & Dominique Estampe, 2003. "Logistics Performance of Actors in the Wine Supply Chain," Post-Print hal-00767174, HAL.
    9. 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.
    10. Nathalie Fabbe-Costes, 2002. "Evaluer la création de valeur du supply chain management," Post-Print hal-01237327, HAL.
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    Cited by:

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    2. Yang, Zhiqing & Liu, Peiyao & Luo, Lianfa, 2023. "Growing exports through ISO 9001 quality certification: Firm-level evidence from Chinese agri-food sectors," Food Policy, Elsevier, vol. 117(C).
    3. Thi Thuy Hanh Nguyen, 2024. "Measuring Supply Chain Performance Using the SCOR Model," SN Operations Research Forum, Springer, vol. 5(2), pages 1-28, June.

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