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AI Summary of Peer-Reviewed Research

This page presents an AI-generated summary of a published research paper. The original authors did not write or review this article. [See full disclosure ↓]

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A new ranking approach for emergency logistics providers

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A modern warehouse interior with workers managing logistics operations, featuring organized shelving with supplies, a forklift with operator, stacked cylindrical containers on the floor, and professional warehouse infrastructure with industrial ceiling and lighting.
Research area:Operations researchMultiple-criteria decision analysisSupply Chain Resilience and Risk Management

What the study found

The study found that a two-stage multi-criteria decision-making approach can be used to evaluate and rank emergency third-party logistics service providers, while taking dependencies among criteria into account. In the case study, six sub-criteria stood out: delivery/service performance, cost, safe and healthy work environment, policies related to human resources, technological capabilities, and financial capability.

Why the authors say this matters

The authors conclude that including economic, social, Industry 4.0, and circular economy criteria provides a new way to assess emergency third-party logistics service providers. They also suggest that considering relationships among criteria changes the final weights and the ranking outcome.

What the researchers tested

The researchers developed a two-stage hybrid method based on multi-criteria decision-making, which is a structured way to compare options using several factors. First, they identified evaluation criteria and calculated independent weights with fuzzy stepwise weight assessment ratio analysis (fuzzy SWARA), then they used the weighted influence non-linear gauge system (WINGS) to rank providers while accounting for interdependencies among criteria.

What worked and what didn't

The approach was validated in a disaster management organization in Iran using input from five experts and an assessment of five emergency third-party logistics service providers across 27 sub-criteria. The comparative analysis indicated that accounting for dependency among criteria had a significant effect on the final weights and on provider rankings. The abstract does not report which provider ranked highest or describe any failed criteria or methods.

What to keep in mind

The summary is based on one validation case in a disaster management organization in Iran, so the scope described in the abstract is limited. The abstract does not provide detailed limitations beyond that case context.

Key points

  • A two-stage fuzzy SWARA and WINGS approach was used to evaluate emergency third-party logistics service providers.
  • The study incorporated economic, social, Industry 4.0, and circular economy criteria.
  • Five experts evaluated five providers using 27 sub-criteria in an Iranian disaster management organization.
  • Delivery/service performance, cost, and technological capabilities were among the important sub-criteria identified.
  • Considering dependencies among criteria changed the final weights and affected the rankings.

Disclosure

Research title:
A new ranking approach for emergency logistics providers
Authors:
Hassan Mina, Samira Mehrabi, Roya Ashrafidehkordi, Parisa Karimi-Ashtiani
Institutions:
Islamic Azad University South Tehran Branch, Khatam University, Malaysia University of Science and Technology, University of North Texas
Publication date:
2026-01-28
DOI:
10.1108/jhlscm-05-2025-0076
OpenAlex record:
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AI provenance: This post was generated by gpt-5.4-mini (OpenAI). The original authors did not write or review this post.