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Supply chain risk assessment approach for process quality risks

Ghadge, A., Fang, X., Dani, Samir and Antony, J. (2017) Supply chain risk assessment approach for process quality risks. International Journal of Quality & Reliability Management. ISSN 0265-671X

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Purpose- The purpose of the paper is to proactively analyse and mitigate root causes of the
process quality risks. The case study approach examines the effectiveness of the fuzzy logic
approach for assessing the product and process related failure modes within global supply chain
Design/Methodology/approach- The case study of a printed circuit board company in China
is used as a platform for conducting the research. Using data triangulation, the data is collected
and analysed through interviews, questionnaires, expert opinions and quantitative modelling
for drawing useful insights.
Findings- The fuzzy logic approach to FMEA provides a structured approach for
understanding complex behaviour of failure modes and their associated risks for products and
processes. Supply Chain Managers should conduct robust risk assessment during the design
stage to avoid product safety and security risks.
Research Limitations/implications- The research is based on a single case study. Multiple
cases from different industry sectors may support in generalising the findings.
Originality/Value- The study attempts to mitigate the root causes of product and processes
using fuzzy approach to FMEA in supply chain network.

Item Type: Article
Subjects: H Social Sciences > H Social Sciences (General)
H Social Sciences > HB Economic Theory
Schools: Huddersfield Business School
Related URLs:
Depositing User: Sara Taylor
Date Deposited: 31 May 2016 14:46
Last Modified: 28 Aug 2021 17:06


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