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Environmental sustainability

Advanced Optimization Models for Sustainable Supply Chain Management

Strategic Insights

— 1 min read

As the growth of e-commerce continues to drive consumer demand, environmental sustainability has become a crucial concern for organizations. To address this issue, researchers at Xiamen University of Technology have developed a novel hybrid multi-criteria decision-making (MCDM) model to evaluate and prioritize green suppliers under uncertainty. This innovative approach integrates the rough-Dombi best-worst method (BWM) and an improved Technique for Order Preference by Similarity to Ideal Solution (TOPSIS), addressing key challenges such as inconsistency in expert judgments and ranking instability.

Key Takeaways:

  • The proposed model integrates the rough-Dombi BWM and an improved TOPSIS to evaluate and prioritize green suppliers under uncertainty.
  • The rough-Dombi BWM leverages interval-valued rough numbers to model subjective expert preferences, while the Dombi operator ensures flexible and precise weight aggregation.
  • The modified TOPSIS incorporates a dynamic distance metric to strengthen ranking robustness and mitigate rank reversal.
  • A case study of five e-commerce suppliers validates the model's effectiveness, identifying cost, green competitiveness, and external environmental management as the dominant evaluation dimensions.
  • The model prioritizes key indicators such as product price, pollution control, and green design using the proposed framework.
  • Theoretical contributions include a new rough-Dombi fusion for criteria weighting under uncertainty and a stabilized TOPSIS variant with reduced sensitivity to data perturbations.
  • Practically, the model provides e-commerce enterprises with a computationally efficient tool for sustainable supplier selection, enhancing resource allocation and green innovation.

Statistics:

  • The proposed model integrates two key methods: rough-Dombi BWM and improved TOPSIS.
  • The model addresses two key challenges: inconsistency in expert judgments and ranking instability.
  • The case study involves five e-commerce suppliers.
  • The dominant evaluation dimensions are cost, green competitiveness, and external environmental management.
  • The most prioritized indicators are product price, pollution control, and green design.

Sources:

  • VerticalNews. "Current Study Results on Systems Engineering Published." Journal of Engineering, 13 Oct 2025, p 5519.
  • NewsRx LLC. "Xiamen University of Technology Researchers Have Provided New Data on Systems Engineering (Green Supplier Evaluation in E-Commerce Systems: An Integrated Rough-Dombi BWM-TOPSIS Approach)." Journal of Engineering, October 13, 2025, p 5519.
  • Shao, Q., et al. "Green Supplier Evaluation in E-Commerce Systems: An Integrated Rough-Dombi BWM-TOPSIS Approach." Systems, 2025, 13(9), 731. doi: 10.3390/systems13090731 (https://doi.org/10.3390/systems13090731).

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