IDEAS home Printed from https://ideas.repec.org/p/hal/journl/hal-01893165.html
   My bibliography  Save this paper

Towards modeling the supply chain's performance evaluation criteria

Author

Listed:
  • 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
    as

    Download full text from publisher

    File URL: https://hal.science/hal-01893165/document
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. 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.
    2. 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.
    3. 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.
    4. 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.
    5. 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.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    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.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Fatma Lehyani & Alaeddine Zouari, 2015. "Evaluating And Measuring Knowledge Management's Impact On Supply Chain Performance Using HOQ," Post-Print hal-01893159, HAL.
    2. Severino, Gonzalo & Rivera, José & Parot, Roberto & Otaegui, Ernesto & Fuentes, Andrés & Reszka, Pedro, 2024. "Workforce and task optimization to guarantee oxygen bottling under a COVID-19 pandemic scenario: A Chilean case study," International Journal of Production Economics, Elsevier, vol. 271(C).
    3. Sujan Piya & Ahm Shamsuzzoha & Mohammad Khadem & Nasr Al-Hinai, 2020. "Identification of Critical Factors and Their Interrelationships to Design Agile Supply Chain: Special Focus to Oil and Gas Industries," Global Journal of Flexible Systems Management, Springer;Global Institute of Flexible Systems Management, vol. 21(3), pages 263-281, September.
    4. Yulei Xie & Linrui Wang & Guohe Huang & Dehong Xia & Ling Ji, 2018. "A Stochastic Inexact Robust Model for Regional Energy System Management and Emission Reduction Potential Analysis—A Case Study of Zibo City, China," Energies, MDPI, vol. 11(8), pages 1-24, August.
    5. Santanu Mandal & Souvik Roy & G. Amar Raju, 2016. "Tourism supply chain agility: an empirical examination using resource-based view," International Journal of Business Forecasting and Marketing Intelligence, Inderscience Enterprises Ltd, vol. 2(2), pages 151-173.
    6. Gunasekaran, Angappa & Subramanian, Nachiappan & Papadopoulos, Thanos, 2017. "Information technology for competitive advantage within logistics and supply chains: A review," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 99(C), pages 14-33.
    7. McKenna, Claire & Chalabi, Zaid & Epstein, David & Claxton, Karl, 2010. "Budgetary policies and available actions: A generalisation of decision rules for allocation and research decisions," Journal of Health Economics, Elsevier, vol. 29(1), pages 170-181, January.
    8. Tsou, Meng-Wen & Yang, Chih-Hai, 2019. "Does gender structure affect firm productivity? Evidence from China," China Economic Review, Elsevier, vol. 55(C), pages 19-36.
    9. Rameshwar Dubey & David J. Bryde & Cyril Foropon & Gary Graham & Mihalis Giannakis & Deepa Bhatt Mishra, 2022. "Agility in humanitarian supply chain: an organizational information processing perspective and relational view," Annals of Operations Research, Springer, vol. 319(1), pages 559-579, December.
    10. Valentine Fays & Benoît Mahy & François Rycx, 2023. "Wage differences according to workers' origin: The role of working more upstream in GVCs," LABOUR, CEIS, vol. 37(2), pages 319-342, June.
    11. Silvestre, Bruno S., 2015. "Sustainable supply chain management in emerging economies: Environmental turbulence, institutional voids and sustainability trajectories," International Journal of Production Economics, Elsevier, vol. 167(C), pages 156-169.
    12. Gilani, H. & Sahebi, H. & Oliveira, Fabricio, 2020. "Sustainable sugarcane-to-bioethanol supply chain network design: A robust possibilistic programming model," Applied Energy, Elsevier, vol. 278(C).
    13. Xu, Y. & Huang, G.H. & Qin, X.S. & Cao, M.F., 2009. "SRCCP: A stochastic robust chance-constrained programming model for municipal solid waste management under uncertainty," Resources, Conservation & Recycling, Elsevier, vol. 53(6), pages 352-363.
    14. Xie, Y.L. & Huang, G.H. & Li, W. & Ji, L., 2014. "Carbon and air pollutants constrained energy planning for clean power generation with a robust optimization model—A case study of Jining City, China," Applied Energy, Elsevier, vol. 136(C), pages 150-167.
    15. Aalaei, Amin & Davoudpour, Hamid, 2017. "A robust optimization model for cellular manufacturing system into supply chain management," International Journal of Production Economics, Elsevier, vol. 183(PC), pages 667-679.
    16. Kossi Messanh Agbekponou & Ilaria Fusacchia, 2024. "Positioning and bargaining power in agri-food global value chains," Post-Print hal-04666067, HAL.
    17. Masoud Hekmatfar & M. R. M. Aliha & Mir Saman Pishvaee & Tomasz Sadowski, 2023. "A Robust Flexible Optimization Model for 3D-Layout of Interior Equipment in a Multi-Floor Satellite," Mathematics, MDPI, vol. 11(24), pages 1-41, December.
    18. Gholamreza Dehdasht & Rosli Mohamad Zin & M. Salim Ferwati & Mu’azu Mohammed Abdullahi & Ali Keyvanfar & Ronald McCaffer, 2017. "DEMATEL-ANP Risk Assessment in Oil and Gas Construction Projects," Sustainability, MDPI, vol. 9(8), pages 1-24, August.
    19. Marion Dovis & Chahir Zaki, 2018. "Global Value Chains and Business Environment: Which Factors Do Really Matter?," Working Papers 1270, Economic Research Forum, revised 19 Dec 2018.
    20. George Vairaktarakis & Joseph G. Szmerekovsky & Jiayan Xu, 2016. "Level workforce planning for multistage transfer lines," Naval Research Logistics (NRL), John Wiley & Sons, vol. 63(7), pages 577-590, October.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:hal:journl:hal-01893165. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: CCSD (email available below). General contact details of provider: https://hal.archives-ouvertes.fr/ .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.