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Towards modeling the supply chain's performance evaluation criteria

Author

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  • Fatma Lehyani

    (LOGIQ - Logistique, Gestion Industrielle et Qualité - ISGI Sfax - Institut Supérieur de Gestion Industrielle de Sfax)

  • Alaeddine Zouari

    (LOGIQ - Logistique, Gestion Industrielle et Qualité - ISGI Sfax - Institut Supérieur de Gestion Industrielle de Sfax)

Abstract

The problem of supply chain performance is a major factor that companies have to consider for increasing its competitiveness in a market in continuous evolution. In this framework, we suggest in this paper, in first place, to identify the role and the importance of performance criteria in the achievement of the company performance. In second place, we formalize a UML class model to clarify the relationship between the supply chain, its performances criteria and their indicators. Thereafter, we present the study of the various performance criteria's junction using an interaction grid.

Suggested Citation

  • Fatma Lehyani & Alaeddine Zouari, 2015. "Towards modeling the supply chain's performance evaluation criteria," Post-Print hal-01893165, HAL.
    • Handle: RePEc:hal:journl:hal-01893165
    Note: View the original document on HAL open archive server: https://hal.science/hal-01893165
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    References listed on IDEAS

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    1. Yang, Taho & Wen, Yuan-Feng & Wang, Fang-Fang, 2011. "Evaluation of robustness of supply chain information-sharing strategies using a hybrid Taguchi and multiple criteria decision-making method," International Journal of Production Economics, Elsevier, vol. 134(2), pages 458-466, December.
    2. Ju, Jiandong & Yu, Xinding, 2015. "Productivity, profitability, production and export structures along the value chain in China," Journal of Comparative Economics, Elsevier, vol. 43(1), pages 33-54.
    3. Najmi, Ali & Gholamian, Mohammad Reza & Makui, Ahamad, 2013. "Supply chain performance models: A literature review on approaches,techniques, and criteria," Journal of Operations and Supply Chain Management (JOSCM), Fundação Getulio Vargas, Escola de Administração de Empresas de São Paulo (FGV EAESP), vol. 6(2), December.
    4. Leung, Stephen C.H. & Tsang, Sally O.S. & Ng, W.L. & Wu, Yue, 2007. "A robust optimization model for multi-site production planning problem in an uncertain environment," European Journal of Operational Research, Elsevier, vol. 181(1), pages 224-238, August.
    5. Yusuf, Yahaya Y. & Gunasekaran, Angappa & Musa, Ahmed & Dauda, Mohammed & El-Berishy, Nagham M. & Cang, Shuang, 2014. "A relational study of supply chain agility, competitiveness and business performance in the oil and gas industry," International Journal of Production Economics, Elsevier, vol. 147(PB), pages 531-543.
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    Cited by:

    1. Faissal Jelti & Amine Allouhi & Mahmut Sami Büker & Rachid Saadani & Abdelmajid Jamil, 2021. "Renewable Power Generation: A Supply Chain Perspective," Sustainability, MDPI, vol. 13(3), pages 1-22, January.

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