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Unraveling Future of Smart Manufacturing and Diffusion Mechanical Fault Diagnosis Prognosis: IoT in Industry 5.0 Fostering Sustainability
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Author(s): Bhupinder Singh (Sharda University, India), Christian Kaunert (Dublin City University, Ireland & University of South Wales, UK), Kittisak Wongmahesak (North Bangkok University, Thailand), Saurabh Chandra (Bennett University, Greater Noida, India), Ashima Jain (Manipal University Jaipur, India)and Gaurav Kumar Sharma (ICFAI University, India)
Copyright: 2026
Pages: 26
Source title:
Transforming Sustainability and Value Creation with Logistics and Supply Chain Management
Source Author(s)/Editor(s): Saurav Negi (Modern College of Business and Science, Oman)and Reason Masengu (Middle East College, Oman)
DOI: 10.4018/979-8-3373-0649-0.ch013
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Abstract
Industry 5.0 the next wave of smart manufacturing as the era of Industry 5.0 is upon us, characterized by human-centric, sustainable, and resilient production systems, and is already starting to influence the future of smart manufacturing. Central to this evolution is IoT-based mechanical fault diagnosis and prognosis. IoT systems utilize sensors for real-time data monitoring of machinery, or fault detection and failure prediction to adopt preventive maintenance strategies. This method reduces downtime, lowers operating costs, increases productivity and is also environmentally friendly. Issues related to data security and system interoperability offer challenges, but continued evolution in IoT frameworks offers transformative opportunities. In their own right, IoT-based fault management not only transforms manufacturing but also corresponds to global sustainability targets while establishing a stronger foundation for resilience in industries moving forward.
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