Revolutionizing Efficiency in Smart Manufacturing Through IoT and Predictive Maintenance

Mohan S, Anitha G

2023

Abstract

The Internet of Things (IoT) has emerged as a catalyst for providing a competitive edge to companies through its diverse applications and tools. One prominent application is within the domain of smart manufacturing, which harnesses the power of the Industrial Internet of Things (IIoT) to streamline operations, enhance efficiency, and curtail costs by automating tasks that were previously manual. A pivotal focus of this paradigm is predictive maintenance, aimed at reducing downtime and optimizing equipment reliability. Predictive maintenance operates on the premise that issues can be foreseen and addressed before they disrupt operations. For instance, it encompasses preventive maintenance strategies such as scheduled inspections and the testing of critical engine components to mitigate unscheduled downtime. In the context of high equipment volumes and energy consumption, even marginal efficiency gains wield significant influence on operational costs and overall energy consumption.

Paper Citation

in Harvard Style

S M. and G A. (2023). Revolutionizing Efficiency in Smart Manufacturing Through IoT and Predictive Maintenance. In Proceedings of the 1st International Conference on Artificial Intelligence for Internet of Things: Accelerating Innovation in Industry and Consumer Electronics - Volume 1: AI4IoT; ISBN 978-989-758-661-3, SciTePress, pages 271-275. DOI: 10.5220/0012613500003739

in Bibtex Style

@conference{ai4iot23,
author={Mohan S and Anitha G},
title={Revolutionizing Efficiency in Smart Manufacturing Through IoT and Predictive Maintenance},
booktitle={Proceedings of the 1st International Conference on Artificial Intelligence for Internet of Things: Accelerating Innovation in Industry and Consumer Electronics - Volume 1: AI4IoT},
year={2023},
pages={271-275},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0012613500003739},
isbn={978-989-758-661-3},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 1st International Conference on Artificial Intelligence for Internet of Things: Accelerating Innovation in Industry and Consumer Electronics - Volume 1: AI4IoT
TI - Revolutionizing Efficiency in Smart Manufacturing Through IoT and Predictive Maintenance
SN - 978-989-758-661-3
AU - S M.
AU - G A.
PY - 2023
SP - 271
EP - 275
DO - 10.5220/0012613500003739
PB - SciTePress