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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

    as
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    Cited by:

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    3. 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).

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