Data-Driven Systematic Evaluation of Preventive Maintenance Performance

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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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