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.
OPSOMMINGʼn Twee-stap metode om die faktore en aspekte wat menslike foute gedurende die instandhouding van mynmasjinerie beïnvloed, word beskryf. Die eerste stap is die oorsaak-gevolg analise, wat met ʼn dinkskrum ondersteun word, waartydens vyf faktore en een-entwintig aspekte identifiseer word. Tydens die tweede stap word die groep-wasigheid-hiërargie analise proses gebruik om die geïdentifiseerde faktore en aspekte te rangskik. ʼn Gevallestudie is op mynondernemings in Serwië geloods. Die sleutelaspekte is rangskik volgens ʼn analise wat mynonderneming risiko kenners (ʼn instandhoudingsingenieur, ʼn tegnoloog, ʼn ergonoom, ʼn sielkundige en ʼn organisatoriese wetenskaplike) ingesluit het. Nalating om tegniese instandhoudingsinstruksies te volg, swak organisasie van die opleidingsproses, onvoldoende diagnostiese toerusting en ʼn tekort aan die verstaan van die werksprosesse is geïdentifiseer as die belangrikste oorsake van menslike foute.