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Gresilient Supplier Evaluation and Selection under Uncertainty Using a Novel Streamlined Full Consistency Method

Author

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  • Mohammad Hashemi-Tabatabaei

    (Department of Industrial Management, Faculty of Management and Accounting, Allameh Tabataba’i University, Tehran 14348-63111, Iran)

  • Maghsoud Amiri

    (Department of Industrial Management, Faculty of Management and Accounting, Allameh Tabataba’i University, Tehran 14348-63111, Iran)

  • Mehdi Keshavarz-Ghorabaee

    (Department of Management, Faculty of Humanities (Azadshahr Branch), Gonbad Kavous University, Gonbad Kavous 49717-99151, Iran)

Abstract

Background : Supply chain management (SCM) plays a fundamental role in the progress and success of organizations and has continuously evolved to better adapt to today’s complex business environments. Consequently, the issue of supplier evaluation and selection (SES), which is one of the most critical decisions in SCM, has gained special significance and has been examined from various perspectives. The concept of green and resilient (gresilient) SCM has emerged in response to recent concerns about environmentally friendly production and operations, as well as organizations’ ability to cope with crises and disasters. In the rapidly growing construction industry, applying gresilient principles can ensure green operations and help overcome future challenges. Methods : This study focuses on gresilient SES in a real-world construction case study, proposing a streamlined FUCOM (S-FUCOM) approach. The proposed method streamlines traditional FUCOM processes to solve decision-making problems in deterministic and uncertain environments. Several numerical examples are provided to illustrate its applicability. Results : the case study results identify air emissions, environmental management systems, and restorative capacity as the most critical gresilient SES criteria. Conclusions : The third supplier emerged as the top performer based on decision-making indicators. Finally, a sensitivity analysis was conducted across 20 scenarios, demonstrating that S-FUCOM is robust and provides stable results.

Suggested Citation

  • Mohammad Hashemi-Tabatabaei & Maghsoud Amiri & Mehdi Keshavarz-Ghorabaee, 2024. "Gresilient Supplier Evaluation and Selection under Uncertainty Using a Novel Streamlined Full Consistency Method," Logistics, MDPI, vol. 8(3), pages 1-39, September.
    • Handle: RePEc:gam:jlogis:v:8:y:2024:i:3:p:90-:d:1476754
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    References listed on IDEAS

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