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

Authors: Arun Karthikeyan; S. Vinodh

Addresses: Department of Production Engineering, National Institute of Technology, Tiruchirappalli, Tamil Nadu, India ' Department of Production Engineering, National Institute of Technology, Tiruchirappalli, Tamil Nadu, India

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.

Keywords: internet of things; IoT; lean manufacturing; multi criteria decision making; fuzzy TOPSIS; smart factory.

DOI: 10.1504/IJSOM.2024.137317

International Journal of Services and Operations Management, 2024 Vol.47 No.3, pp.366 - 381

Received: 29 Jun 2021
Accepted: 13 Nov 2021
Published online: 12 Mar 2024 *

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