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Supply chain risk assessment approach for process quality risks

Samir Dani (Business School, University of Huddersfield, Huddersfield, UK)

International Journal of Quality & Reliability Management

ISSN: 0265-671X

Article publication date: 7 August 2017

Abstract

Purpose

The purpose of this paper is to proactively analyse and mitigate the root causes of the product and security 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 context.

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 are collected and analyzed through interviews, questionnaires, expert opinions and quantitative modelling for some interesting insights.

Findings

Fuzzy logic approach for failure mode and effect analysis (FMEA) provides a structured approach for understanding complex behaviour of failure modes and their associated risks for products and processes. Today’s managers should conduct robust risk assessment during the design stage to avoid product safety and security risks such as recalls.

Research limitations/implications

The research is based on the single case study and multiple cases from different industry sectors may provide some additional insights.

Originality/value

The study attempts to mitigate the root causes of product and processes using fuzzy approach to FMEA in supply chain network.

Keywords

Citation

Ghadge, A., Fang, X., Dani, S. and Antony, J. (2017), "Supply chain risk assessment approach for process quality risks", International Journal of Quality & Reliability Management, Vol. 34 No. 7, pp. 940-954. https://doi.org/10.1108/IJQRM-01-2015-0010

Publisher

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Emerald Publishing Limited

Copyright © 2017, Emerald Publishing Limited