Data-Driven Systematic Evaluation of Preventive Maintenance Performance

    Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

    Abstract

    This paper introduces a method for visualizing existing preventive maintenance actions and their performance. The current literature focuses on the mathematical evaluation of preventive maintenance actions but lacks a connection to available historical data. By utilizing historical data and policy knowledge already available in the company, the proposed methodology enables maintenance managers to make data-driven decisions.The method is applied in an offshore oil and gas company. Currently, the company tracks their preventive maintenance policies in separate document for each system. By implementing the method, it was possible to create an overview of the preventive maintenance policies described in the separate documents. This was combined with historical data to give an overview of preventive maintenance performance that was not available before.
    Original languageEnglish
    Title of host publication2021 Annual Reliability and Maintainability Symposium (RAMS)
    Number of pages7
    PublisherIEEE
    Publication date2021
    ISBN (Electronic)978-1-7281-8017-5
    DOIs
    Publication statusPublished - 2021
    EventAnnual Symposium on Reliability and Maintainability (RAMS) - Rosen Plaza Hotel, Orlando, United States
    Duration: 24 May 202127 May 2021

    Conference

    ConferenceAnnual Symposium on Reliability and Maintainability (RAMS)
    LocationRosen Plaza Hotel
    Country/TerritoryUnited States
    CityOrlando
    Period24/05/202127/05/2021

    Keywords

    • Data-driven
    • Evaluation
    • Maintenance performance
    • Preventive maintenance

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