THE ANALYSIS OF HUMAN ERROR AS CAUSES IN THE MAINTENANCE OF MACHINES: A CASE STUDY IN MINING COMPANIES

Authors

  • Srdja Kovacevic JP PK Kosovo Obilic, Belgrade, Serbia
  • Ljubisa Papic Faculty of Technical Sciences in Cacak, University of Kragujevac, Kragujevac, Serbia
  • Goran Janackovic University Of Nis, Faculty of Occupational Safety
  • Suzana Savic University Of Nis, Faculty of Occupational Safety

DOI:

https://doi.org/10.7166/27-4-1493

Keywords:

maintenance, human error, cause-effect analysis, multi-criteria decision making

Abstract

This paper describes the two-step method used to analyse the factors and aspects influencing human error during the maintenance of mining machines. The first step is the cause-effect analysis, supported by brainstorming, where five factors and 21 aspects are identified. During the second step, the group fuzzy analytic hierarchy process is used to rank the identified factors and aspects. A case study is done on mining companies in Serbia. The key aspects are ranked according to an analysis that included experts who assess risks in mining companies (a maintenance engineer, a technologist, an ergonomist, a psychologist, and an organisational scientist). Failure to follow technical maintenance instructions, poor organisation of the training process, inadequate diagnostic equipment, and a lack of understanding of the work process are identified as the most important causes of human error. 

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Published

2016-12-06

How to Cite

Kovacevic, S., Papic, L., Janackovic, G., & Savic, S. (2016). THE ANALYSIS OF HUMAN ERROR AS CAUSES IN THE MAINTENANCE OF MACHINES: A CASE STUDY IN MINING COMPANIES. The South African Journal of Industrial Engineering, 27(4), 193–202. https://doi.org/10.7166/27-4-1493

Issue

Vol. 27 No. 4 (2016)

Section

Case Studies

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