Abstract
Businesses and industries are implementing their business objectives with the assistance of machines. Unfortunately, machines deteriorate with time. The current study investigates global manufacturing industry maintenance strategies and their projected evolution. We used secondary data from Statista databases published between 2016 and 2023 and English as the language of the study. According to the findings of the study, preventive maintenance is the most prevalent strategy for asset care in the manufacturing industry. Trends indicated that predictive maintenance and other maintenance strategies were declining. It was suggested that future research investigate the challenges of implementing predictive and reliability-centred maintenance strategies in order to assist the manufacturing industry in reaping the benefits.
| Original language | English |
|---|---|
| Title of host publication | 2023 IEEE International Conference on Industrial Engineering and Engineering Management, IEEM 2023 |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| Pages | 1335-1339 |
| Number of pages | 5 |
| ISBN (Electronic) | 9798350323153 |
| DOIs | |
| Publication status | Published - 2023 |
| Event | 2023 IEEE International Conference on Industrial Engineering and Engineering Management, IEEM 2023 - Singapore, Singapore Duration: 18 Dec 2023 → 21 Dec 2023 |
Publication series
| Name | 2023 IEEE International Conference on Industrial Engineering and Engineering Management, IEEM 2023 |
|---|
Conference
| Conference | 2023 IEEE International Conference on Industrial Engineering and Engineering Management, IEEM 2023 |
|---|---|
| Country/Territory | Singapore |
| City | Singapore |
| Period | 18/12/23 → 21/12/23 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 9 Industry, Innovation, and Infrastructure
Keywords
- Maintenance
- Manufacture
- Strategies
- Trends
ASJC Scopus subject areas
- Artificial Intelligence
- Decision Sciences (miscellaneous)
- Statistics, Probability and Uncertainty
- Industrial and Manufacturing Engineering
- Modeling and Simulation
- Strategy and Management
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