Supply chain risk assessment approach for process quality risks

Abhijeet Ghadge, Xie Fang, Samir Dani, Jiju Antony

    Research output: Contribution to journalArticlepeer-review

    15 Citations (Scopus)

    Abstract

    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 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 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.

    Keywords- Fuzzy, FMEA, Supply Chain Risk Management, Product Safety and Security
    Original languageEnglish
    Pages (from-to)940-954
    JournalInternational Journal of Quality and Reliability Management
    Volume34
    Issue number7
    DOIs
    Publication statusPublished - 10 Aug 2017

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