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A goal programming-based fuzzy best-worst method for the viable supplier selection problem: a case study.

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Summary

This study introduces a viable supplier selection framework for the medical device industry, using a novel GP-FBWM method to prioritize suppliers for oxygen concentrators post-COVID-19.

Keywords:
Fuzzy best–worst methodGoal programmingOxygen concentratorViable supplier selection

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Area of Science:

  • Supply Chain Management
  • Operations Research
  • Medical Device Industry

Background:

  • The COVID-19 pandemic necessitated enhanced industrial capability and flexibility.
  • The concept of a viable supply chain integrates leagile, resilient, sustainable, and digital aspects.
  • A gap exists in research concerning viable supplier selection within supply chain management.

Purpose of the Study:

  • To develop a decision-making framework for viable supplier selection.
  • To address the gap in literature regarding viable supplier selection.
  • To apply the framework to the critical oxygen concentrator device sector.

Main Methods:

  • A novel Goal Programming-based Fuzzy Best-Worst Method (GP-FBWM) was developed to compute indicator weights.
  • The Fuzzy Vlse Kriterijumsk Optimizacija Kompromisno Resenje (VIKOR) method was employed for alternative prioritization.
  • The framework was implemented using oxygen concentrator suppliers as a case study.

Main Results:

  • The study successfully incorporated viability concepts into the medical device supplier selection process.
  • The GP-FBWM method demonstrated efficiency in measuring criterion importance.
  • Prioritized supplier alternatives were identified based on the developed framework.

Conclusions:

  • The research provides a novel framework and method for viable supplier selection in the medical device industry.
  • The findings offer practical insights for enhancing supply chain viability and resilience.
  • The study contributes to both theoretical understanding and practical application of viable supply chain management.