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September 14, 2026International Journal of Quality & Reliability Management

Development of a model based on FMEA, AHP and 2-tuple fuzzy linguistic representation for supply risk assessment

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Authors

LOLauro OsiroTUTúlio Fígaro UlhoaRLRafael Henrique Palma Lima

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Overview

Methodological study demonstrates effective supply risk scoring across critical hospital suppliers, highlighting the utility of integrating qualitative judgments with quantitative records.

Key Points

  • Develop and test a hybrid decision-making model combining failure mode and effect analysis, analytic hierarchy process, and 2-tuple fuzzy linguistic representation to assess supplier risks for critical inventory.
  • Integrated analytic hierarchy process (AHP) to weight the relative importance of failure modes and 2-tuple fuzzy linguistic representation to synthesize qualitative judgments and historical quantitative data.
  • Calculated Risk Priority Number (RPN) scores across three surgical glove suppliers at a philanthropic hospital evaluating unit costs, delivery reliability, quality, and service.
  • Demonstrated that AHP weighted failure mode importance while the 2-tuple linguistic model successfully combined expert qualitative evaluations with historical quantitative metrics.
  • Identified low quality risks across all three evaluated glove suppliers, but revealed elevated unit-cost risk concentrated in one supplier.

Cite This Study

Osiro et al. (2026) studied this question.

synapsesocial.com/papers/6aa7b40e0926e14a848b379fhttps://doi.org/10.1108/ijqrm-11-2021-0401
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