Fuzzy Rule-Based System to Predict the Sustainability in Machining Process

Authors

  • Veeramani. V Assistant Professor, Mathematics and Computing Skills Unit, Preparatory Studies Centre, University of Technology and Applied Sciences, Salalah, Sultanate of Oman
  • M. Sangeetha Lecturer, Computer Engineering, University of Technology and Applied Sciences, Nizwa
  • Roaa Adam Hussein Mohamed Lecturer, Computer Engineering Department, University of Technology and Applied Sciences, Nizwa
  • G. Arul Dalton Associate Professor, Department of CSE, Saveetha Engineering College
  • Rajendra Kumar Ramadass Assistant Trainer, Electrical Engineering Section, College of Engineering and Technology, University of Technology and Applied Sciences, Shinas - Oman, OMAN

Keywords:

Industry 5.0, Augmented Intelligence, Fuzzy rule based method, save time and money

Abstract

Industry 5.0 is the highly widespread version at present, with a time- and energy-efficient functioning procedure. Industry 5.0 focuses an immense value on augmented intelligence (AuI), which indicates both artificial and human intelligence are integrated in this industrial version. Industry 5.0 can promote environmentally friendly targets like durability, socio-environmental reliability, and human-centricity, extending outside the profit-centered effectiveness of Industry 4.0. For any industry to be worthwhile, the machine's sustainability remains the top priority. This research article delivers a fuzzy rule-based strategy for Industry 5.0 which is a human-robot collaboration. The primary justification for adopting this fuzzy rule-based strategy in this machine sustainability forecast mechanism is that it is an If-Then rule-based reasoning method. This will offer an extremely precise and familiar prediction of sustainability in machining, enhancing industrial wealth while minimizing expenditure. The Augmented Intelligence (AuI) has turned popular recently in the industries given that when contrasted with industry 4.0, it is noticeable that industry 5.0 is persistently profitable, dependable, and offers greatest outcomes at a suitable hour. Any business will save time and money due to the manufacturing process rarely yields a significant level of waste and employs a sufficient quantity of input equipment. Consequently, this industrial 5.0 can deliver positive results without any losses thanks to its fuzzy rule-based method.

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Published

30.12.2023

How to Cite

V, V. ., Sangeetha, M. ., Mohamed, R. A. H. ., Dalton, G. A. ., & Ramadass, R. K. (2023). Fuzzy Rule-Based System to Predict the Sustainability in Machining Process. International Journal of Intelligent Systems and Applications in Engineering, 12(9s), 550 –. Retrieved from https://www.ijisae.org/index.php/IJISAE/article/view/4407

Issue

Vol. 12 No. 9s (2024)

Section

Research Article

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