Current and Future Trends in Manufacturing Maintenance Strategies

B. B.S. Makhanya, J. H.C. Pretorius, H. Nel

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

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 languageEnglish
Title of host publication2023 IEEE International Conference on Industrial Engineering and Engineering Management, IEEM 2023
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1335-1339
Number of pages5
ISBN (Electronic)9798350323153
DOIs
Publication statusPublished - 2023
Event2023 IEEE International Conference on Industrial Engineering and Engineering Management, IEEM 2023 - Singapore, Singapore
Duration: 18 Dec 202321 Dec 2023

Publication series

Name2023 IEEE International Conference on Industrial Engineering and Engineering Management, IEEM 2023

Conference

Conference2023 IEEE International Conference on Industrial Engineering and Engineering Management, IEEM 2023
Country/TerritorySingapore
CitySingapore
Period18/12/2321/12/23

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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