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Analysis of factors influencing internet of things integration in lean manufacturing using fuzzy TOPSIS: a case study

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  • Arun Karthikeyan
  • S. Vinodh

Abstract

Nowadays, with the support of internet of things (IoT) technology, all activities and processes are able to achieve shorter lead-time and reduced waste. Thus, IoT is able to give significant benefits upon its integration with lean manufacturing and results in creating 'smart factory'. Hence, this paper is focused on analysis of factors influencing integration of IoT in lean manufacturing. Twelve factors influencing IoT in lean manufacturing were identified through extensive literature review. Through fuzzy TOPSIS (a MCDM technique), the aspects/factors identified were prioritised and ranked based on benefit to cost criteria. It was found that 'decentralised and knowledge-based decision making' is the most significant factor with highest benefit criteria and least cost criteria. The last stage involved suggesting necessary improvements from IoT viewpoint for higher efficiency, which creates a new paradigm of smart factory.

Suggested Citation

  • Arun Karthikeyan & S. Vinodh, 2024. "Analysis of factors influencing internet of things integration in lean manufacturing using fuzzy TOPSIS: a case study," International Journal of Services and Operations Management, Inderscience Enterprises Ltd, vol. 47(3), pages 366-381.
    • Handle: RePEc:ids:ijsoma:v:47:y:2024:i:3:p:366-381
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