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Open Access Journal Article

Predictive Maintenance Strategies in Manufacturing

by Sophia Smith 1,*
1
Sophia Smith
*
Author to whom correspondence should be addressed.
MAD  2022 4(1):28; https://doi.org/10.69610/j.mad.20220322
Received: 29 January 2022 / Accepted: 26 February 2021 / Published Online: 22 March 2022
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Abstract

Predictive maintenance strategies play a crucial role in the manufacturing industry, aiming to optimize the performance and extend the lifespan of machinery. This paper explores various predictive maintenance strategies and their implementation in manufacturing processes. It discusses the importance of preventive measures, such as regular inspections and maintenance schedules, in reducing downtime and preventing unexpected failures. Furthermore, the paper examines the utilization of advanced technologies, including condition monitoring systems, data analytics, and artificial intelligence, to predict potential equipment failures before they occur. The integration of these technologies enables companies to enhance their production efficiency, minimize costs, and ensure a smooth manufacturing operation. The study also highlights the challenges faced by manufacturers in adopting predictive maintenance strategies and proposes solutions to address these issues. In conclusion, this paper emphasizes the significance of predictive maintenance in the manufacturing industry and its potential to transform traditional maintenance practices.

Keywords: Predictive Maintenance; Manufacturing Industry; Condition Monitoring; Data Analytics; Artificial Intelligence.;
Copyright: © 2022 by Smith. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY) (Creative Commons Attribution 4.0 International License). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
Cite This Paper
APA Style
Smith, S. (2022). Predictive Maintenance Strategies in Manufacturing. Management Analytics and Decision, 4(1), 28. doi:10.69610/j.mad.20220322
ACS Style
Smith, S. Predictive Maintenance Strategies in Manufacturing. Management Analytics and Decision, 2022, 4, 28. doi:10.69610/j.mad.20220322
AMA Style
Smith S. Predictive Maintenance Strategies in Manufacturing. Management Analytics and Decision; 2022, 4(1):28. doi:10.69610/j.mad.20220322
Chicago/Turabian Style
Smith, Sophia 2022. "Predictive Maintenance Strategies in Manufacturing" Management Analytics and Decision 4, no.1:28. doi:10.69610/j.mad.20220322

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ACS Style
Smith, S. Predictive Maintenance Strategies in Manufacturing. Management Analytics and Decision, 2022, 4, 28. doi:10.69610/j.mad.20220322
AMA Style
Smith S. Predictive Maintenance Strategies in Manufacturing. Management Analytics and Decision; 2022, 4(1):28. doi:10.69610/j.mad.20220322
Chicago/Turabian Style
Smith, Sophia 2022. "Predictive Maintenance Strategies in Manufacturing" Management Analytics and Decision 4, no.1:28. doi:10.69610/j.mad.20220322
APA style
Smith, S. (2022). Predictive Maintenance Strategies in Manufacturing. Management Analytics and Decision, 4(1), 28. doi:10.69610/j.mad.20220322

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