OMCTA: A Novel Knowledge-Based Technique To Evaluate the Influence of O&M Actions on Maintenance Management
Published 2020-06-30
abstract views: 25 // FULL TEXT ARTICLE (PDF): 0
Keywords
- Critical Systems,
- Equipment O&M,
- Maintenance Management,
- Expert Knowledge-Based Techniques
How to Cite
Copyright (c) 2023 International Journal of Industrial Engineering and Management
This work is licensed under a Creative Commons Attribution 4.0 International License.
Abstract
Human error is a major cause of unavailability of industrial equipment. Consequently, several approaches attempt to assess how this issue influences maintenance management. However, these techniques are generally limited, not distinguishing between O&M actions. In this way, this work presents a new method, named OMCTA, based on techniques already known and widespread both in academia and industry. By structuring the expert knowledge, the method separately quantifies the likelihood of O&M actions causing failures. A case study is analyzed, bringing results that clearly show the effects of the O&M actions for different Kaplan turbine failure modes.
Article history: Received (September 25, 2019); Revised (March 10, 2020); Accepted (March 24, 2020); Published online (April 14, 2020)