Supplier selection by using the fuzzy analytic hierarchy process

It has been argued that supplier selection is of paramount importance for production companies. In particular, selecting appropriate suppliers may improve production outputs’ quality for firms. Until date, some methods have been developed to select suppliers; yet, some weaknesses still exist. To fill the literature gap, this paper aims to set up a model for judging and selecting potential suppliers from manufactures’ perspectives by the fuzzy Analytic Hierarchy Process (fuzzy AHP). It is posulated that fuzzy AHP is not only applicable for supplier selection, but also helpful in assessing staff’s operational efficiency, evaluating product quality, and appraising the types of technologies to use in the production line.

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Publication Details

Journal
Journal of Development and Integration
Published
2024-08-26
DOI
https://doi.org/10.61602/jdi.2024.77.01
Primary Topic
Multi-Criteria Decision Making
Type
article
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article

Supplier selection by using the fuzzy analytic hierarchy process

Nguyen Tan Huynh
Journal of Development and Integration
Multi-Criteria Decision Making
article

Supplier selection by using the fuzzy analytic hierarchy process

Nguyen Tan Huynh
article en

Abstract

It has been argued that supplier selection is of paramount importance for production companies. In particular, selecting appropriate suppliers may improve production outputs’ quality for firms. Until date, some methods have been developed to select suppliers; yet, some weaknesses still exist. To fill the literature gap, this paper aims to set up a model for judging and selecting potential suppliers from manufactures’ perspectives by the fuzzy Analytic Hierarchy Process (fuzzy AHP). It is posulated that fuzzy AHP is not only applicable for supplier selection, but also helpful in assessing staff’s operational efficiency, evaluating product quality, and appraising the types of technologies to use in the production line.

Journal of Development and Integration(77)
Industry, innovation and infrastructure
Openalex Percentile: Top 83%
Multi-Criteria Decision Making
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