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Supplier quality evaluation is a vital decision for buyer organizations. Every year, several organizations suffer not only monetary loss but waste of materials, man power, resources etc. due to poor quality product and services leading to loss of clientele and market reputation. In this paper, we address the problem of supplier quality evaluation and propose a multi-perspective fuzzy multicriteria decision making approach based on fuzzy TOPSIS. Four perspectives namely product quality, process quality, service quality, and organizational quality are considered to identify the supplier quality evaluation criteria. Supplier quality evaluation is performed by a committee of decision making experts who use linguistic assessments to rank the criteria and the suppliers in the lack of quantitative information. These assessments are then combined through fuzzy TOPSIS to generate an overall performance score for each alternative. The alternative with the highest score is finally chosen and recommended for procurement. A practical application is provided. Sensitivity analysis and comparison with another approach called fuzzy SAW is performed for model verification and validation. The novelty of the proposed approach is supplier quality evaluation from multiple perspectives namely product quality, process quality, organizational quality, and service quality and ability to perform supplier quality evaluation under limited or lack of quantitative data.
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