Sustainable supplier selection based on VIKOR with single-valued neutrosophic sets
Xiaochun Luo1,2, Zilong Wang1, Liguo Yang3
1College of Economics and Management, Nanjing University of Aeronautics and Astronautis, Nanjing, China.
This study introduces a novel method for selecting sustainable supply chain partners using the VlseKriterijumska Optimizacija I Kompromisno Resenje (VIKOR) technique with single-valued neutrosophic sets (SVNS). It addresses uncertainty in multi-criteria decision-making for improved supplier selection.
Area of Science:
- Operations Research
- Supply Chain Management
- Decision Science
Background:
- Supply chain sustainability is critical due to economic, environmental, and social factors.
- Supplier selection is a key strategic element for organizational competitiveness and sustainability.
- Multi-criteria decision-making (MCDM) with uncertainty complicates sustainable supplier selection.
Purpose of the Study:
- To develop a robust method for sustainable supplier selection under uncertainty.
- To address the challenges of insufficient information and decision-maker subjectivity in MCDM.
- To enhance the consistency and reliability of sustainable supplier evaluations.
Main Methods:
- Application of the VlseKriterijumska Optimizacija I Kompromisno Resenje (VIKOR) technique.
- Integration of single-valued neutrosophic sets (SVNS) to handle uncertainty and imprecision.
- Sensitivity and comparative analyses to validate the proposed framework.
Main Results:
- The VIKOR-SVNS method effectively manages fuzzy and uncertain information in supplier selection.
- The approach minimizes the impact of personal biases and factor correlations on evaluation outcomes.
- Demonstrated improved consistency and reliability in selecting high-caliber, sustainable suppliers.
Conclusions:
- The proposed framework offers a valuable tool for MCDM in sustainable supply chain management.
- It provides a systematic approach to selecting suppliers with sustainable business practices.
- The method enhances decision-making transparency and reduces decision-maker regret.
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