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Product quality in an inclusive manufacturing system: some considerations

Author

Listed:
  • Vedpal Arya

    (Indian Institute of Technology Delhi)

  • S. G. Deshmukh

    (Indian Institute of Technology Delhi)

  • Naresh Bhatnagar

    (Indian Institute of Technology Delhi)

Abstract

In our technology-intensive world, manufacturing is transforming rapidly and is now driven by personalized demand. To deal with the modern manufacturing challenges, one requires an inclusive approach and therefore, a new paradigm has evolved shifting the manufacturing closer to the customer. This paper highlights the need for inclusive manufacturing along with its important aspects of automation, workforce diversity, and environment-friendly manufacturing operations. Variables pertaining to an inclusive manufacturing system were identified from the literature and were shortlisted based on the opinion of domain specialists. The causal relations among the variables are modeled using Bayesian network. The overall focus of the study lies in evaluating the impact of identified variables affecting product quality through the lens of an inclusive manufacturing system. Cascading effect of variables and the sensitivity analysis further build this study to conclude important observations and managerial insights.

Suggested Citation

  • Vedpal Arya & S. G. Deshmukh & Naresh Bhatnagar, 2019. "Product quality in an inclusive manufacturing system: some considerations," Journal of Intelligent Manufacturing, Springer, vol. 30(8), pages 2871-2884, December.
    • Handle: RePEc:spr:joinma:v:30:y:2019:i:8:d:10.1007_s10845-018-1423-x
    DOI: 10.1007/s10845-018-1423-x
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    References listed on IDEAS

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    Cited by:

    1. Mateo Ramos-Merino & Juan M. Santos-Gago & Luis M. Álvarez-Sabucedo, 2021. "Fuzzy traceability: using domain knowledge information to estimate the followed route of process instances in non-exhaustive monitoring environments," Journal of Intelligent Manufacturing, Springer, vol. 32(8), pages 2235-2255, December.

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