 Productivity improvement in a paper manufacturing company through lean and IoT - a case studyK.R. Shriram, S. Kishore Karthiban, A. Charan Kumar, S.K. Mathiarasu and P.G. Saleeshya International Journal of Business and Systems Research, 2023, vol. 17, issue 1, 97-119 Abstract: Industries implemented lean techniques experienced a saturation of leanness after a certain period of time. This forced them to look out for optimised lean models. The combination of lean and the internet of things (IoT) promise astonishing advances in the improvement of leanness. This paper focuses on the improvement of leanness with the aid of IoT systems. A case study was performed in a leading board paper manufacturing industry. Fuzzy logic-based lean assessment model assessed the leanness of the industry. Lean tools like value stream mapping, root cause analysis, Jidoka, etc. were performed to identify and eliminate the lean wastes. IoT-based systems were modelled. Leanness of the industry was computed before implementation, after lean implementation and after IoT implementation. The results were used to contrast the improvements shown by lean practices and IoT systems individually, and proved that the combination of lean and IoT have a greater potential for industries in the future. Keywords: lean manufacturing; leanness; lean index; fuzzy logic; digitalisation; internet of things; IoT. (search for similar items in EconPapers) Downloads: (external link) Related works: Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text Persistent link: https://EconPapers.repec.org/RePEc:ids:ijbsre:v:17:y:2023:i:1:p:97-119 Access Statistics for this article More articles in International Journal of Business and Systems Research from Inderscience Enterprises Ltd |
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