Productive maintenance's autonomous maintenance in achieving effectiveness: Case study

Ignatio Madanhire, Kumbi Mugwindiri, Tawanda Mutenhabundo, Charles Mbohwa

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


The research study investigated the prospects of using Autonomous Maintenance to improve maintenance effectiveness advantage for the thermal power plants. Through plant audits, critical equipment was identified using Nowlan and Heap's risk analysis method and confirmed using the criticality function (SAQM). The identified critical equipment were boilers, turbines, pumps, condensers, supeheaters, grate and belts. Autonomous Maintenance implementation procedures were developed for the plant and, the cause and effects of failure of each critical component were analysed using fishbone diagrams. Autonomous Maintenance checklists for each critical equipment were developed basing on the implementation strategy. The maintenance database checklists, KPI data and software were used as the end user interface for accessing the procedures and inputing KPI data in to the system for storage. The implementation were based on continous improvement as a cycle incorporating real time monitoring system in the plant.

Original languageEnglish
Title of host publication4th North American IEOM Conference. IEOM 2019
PublisherIEOM Society
Number of pages15
ISBN (Print)9781532359507
Publication statusPublished - 2019
Event4th North American IEOM Conference. IEOM 2019 - Toronto, Canada
Duration: 23 Oct 201925 Oct 2019

Publication series

NameProceedings of the International Conference on Industrial Engineering and Operations Management
ISSN (Electronic)2169-8767


Conference4th North American IEOM Conference. IEOM 2019


  • Advantage
  • Autonomous maintenance
  • Key performance indicators
  • Maintenance effectiveness
  • Total productive maintenance

ASJC Scopus subject areas

  • Strategy and Management
  • Management Science and Operations Research
  • Control and Systems Engineering
  • Industrial and Manufacturing Engineering


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