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Incorporating management opinion in green supplier selection model using quality function deployment and interactive

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This study introduces a new model for selecting green suppliers, integrating fuzzy programming and Quality Function Deployment. It helps businesses achieve sustainability goals by optimizing environmental, cost, quality, and time factors.

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Area of Science:

  • Operations Research
  • Environmental Management
  • Supply Chain Management

Background:

  • Increasing environmental concerns necessitate integrating ecological aspects into business operations.
  • Green supplier selection is crucial for organizations aiming to comply with environmental regulations.
  • Traditional supplier selection models often overlook critical environmental performance indicators.

Purpose of the Study:

  • To develop a multi-objective interactive fuzzy programming model for green supplier selection.
  • To integrate Quality Function Deployment (QFD) for weighting green factors.
  • To provide a decision-making tool for enhancing organizational sustainability through eco-friendly supply chains.

Main Methods:

  • A multi-objective interactive fuzzy programming model was developed.
  • Quality Function Deployment (QFD) was integrated to determine weights of green factors.
  • A fuzzy linguistic scale and triangular membership functions were used to incorporate expert opinions.

Main Results:

  • The model achieved 100% satisfaction for cost and time in a textile industry case study.
  • A 75% satisfaction score was obtained for the green appraisal, and 93.95% for quality.
  • The model effectively balances multiple objectives in green supplier selection.

Conclusions:

  • The proposed model offers a robust framework for selecting green suppliers.
  • It aids decision-makers in improving supply chain sustainability and environmental performance.
  • The integration of fuzzy logic and QFD provides a practical approach for complex supplier selection problems.