Publication Type : Journal Article
Publisher : Informa UK Limited
Source : Production Planning & Control
Url : https://doi.org/10.1080/09537287.2026.2667344
Campus : Coimbatore
School : School of Engineering
Department : Mechanical Engineering
Year : 2026
Abstract : Efficient operation on the factory floor has been hindered by data latency and communication delays, leading to production downtime and associated costs. This research investigates the use of an IoT-enabled Andon system integrated with a vendor-neutral Business Intelligence (BI) visualisation layer, within a genset manufacturing business. Through a sociotechnical intervention, this work examines how integration of real-time monitoring, data visualisation, and visual management influences operational performance. The single-case study method confirms the effect of implementing an IoT-enabled Andon: a 55.55% reduction in unscheduled downtime and a 4% increase in Overall Equipment Effectiveness. The effectiveness of the Andon and Power BI system was due to ‘technology’ and, importantly, its empowerment of operators to make responsive and aligned production decisions. The research provides empirical validation of an integrated Industry 4.0 intervention through a sociotechnical lens. It highlights the synergy between digital tools and human decision-making, offering strategic directions for digital transformation.
Cite this Research Publication : M.S. Narassima, Angappa Gunasekaran, M. Thenarasu, Vidyadhar V. Gedam, Koppiahraj Karuppiah, An integrated Lean-IoT-business intelligence model of IS success on the manufacturing shop floor, Production Planning & Control, Informa UK Limited, 2026, https://doi.org/10.1080/09537287.2026.2667344