A MAINTENANCE PERFORMANCE MEASUREMENT FRAMEWORK THAT INCLUDES MAINTENANCE HUMAN FACTORS: A CASE STUDY FROM THE ELECTRICITY TRANSMISSION INDUSTRY

Authors

  • Rina Peach University of Pretoria
  • Herman Ellis University of Pretoria
  • Jacobus Krige Visser University of Pretoria

DOI:

https://doi.org/10.7166/27-2-1492

Keywords:

Maintenance, Management, Performance, Human factors

Abstract

Over the past two to three decades, maintenance management has undergone a paradigm shift; it is no longer seen as a necessary evil, but as an integral part of the business process that creates value for the organisation. The next step in the evolution of maintenance management is a maintenance performance measurement that includes human factors. The human factors in maintenance are well- known in the aviation industry, as it gained momentum in the early 1990s after a series of serious aviation accidents. Other industries, however, have been slow to integrate the human factor in their maintenance performance measurements. This paper discusses the results of a research project that investigated the use and importance of maintenance management performance measurements that focus specifically on human factors as part of the overall performance management system. From the research presented in this paper, ‘motivation’ and ‘competence’ were identified as the most important human performance factors in the maintenance of electricity transmission systems. 

Author Biographies

Rina Peach, University of Pretoria

Department of Engineering and Technology Management, Masters student

Herman Ellis, University of Pretoria

Department of Enginering and Technology Management, Senior Lecturer

Jacobus Krige Visser, University of Pretoria

Department of Engineering and Technology Management, Professor

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Published

2016-08-12

How to Cite

Peach, R., Ellis, H., & Visser, J. K. (2016). A MAINTENANCE PERFORMANCE MEASUREMENT FRAMEWORK THAT INCLUDES MAINTENANCE HUMAN FACTORS: A CASE STUDY FROM THE ELECTRICITY TRANSMISSION INDUSTRY. The South African Journal of Industrial Engineering, 27(2), 177–189. https://doi.org/10.7166/27-2-1492

Issue

Section

General Articles