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Journal of Food Quality
Volume 2018, Article ID 2637075, 19 pages
Research Article

Quality Risk Evaluation of the Food Supply Chain Using a Fuzzy Comprehensive Evaluation Model and Failure Mode, Effects, and Criticality Analysis

1School of Economics and Management, Chang’an University, Xi’an 710061, China
2Wilfrid Laurier University, Waterloo, ON, N2L3C5, Canada
3School of Management, Northwestern Polytechnical University, Xi’an 710072, China

Correspondence should be addressed to Chunming Shi; ac.ulw@ihsc

Received 21 September 2017; Revised 5 January 2018; Accepted 14 January 2018; Published 4 March 2018

Academic Editor: Susana Fiszman

Copyright © 2018 Libiao Bai et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.


Evaluating the quality risk level in the food supply chain can reduce quality information asymmetry and food quality incidents and promote nationally integrated regulations for food quality. In order to evaluate it, a quality risk evaluation indicator system for the food supply chain is constructed based on an extensive literature review in this paper. Furthermore, a mathematical model based on the fuzzy comprehensive evaluation model (FCEM) and failure mode, effects, and criticality analysis (FMECA) for evaluating the quality risk level in the food supply chain is developed. A computational experiment aimed at verifying the effectiveness and feasibility of this proposed model is conducted on the basis of a questionnaire survey. The results suggest that this model can be used as a general guideline to assess the quality risk level in the food supply chain and achieve the most important objective of providing a reference for the public and private sectors when making decisions on food quality management.