Exploring the effect of physical, human and technical factors on bucket wheel excavators' efficiency: a fuzzy cognitive map approach Online publication date: Sun, 12-Jan-2020
by Maria Menegaki; Theodoros Michalakopoulos; Christos Roumpos
International Journal of Mining and Mineral Engineering (IJMME), Vol. 10, No. 2/3/4, 2019
Abstract: Several parameters, e.g., characteristics of the excavated material, number and thickness of lignite layers, bucket wheel capacity, experience of personnel, etc., affect the efficiency of bucket wheel excavators (BWEs). In this paper, the fuzzy cognitive map (FCM) approach is used to explore the factors affecting the efficiency of BWEs as well as their interlinkages and interdependencies, based on an extensive review of scientific literature and expert intervention. The main goal is to provide a transparent and flexible model and propose a different simulation approach for complex mining systems that can interconnect the factors influencing system's behaviour. The implementation of the proposed model revealed significant differences in BWEs' efficiency under favourable and hostile conditions. This is a first step towards simulations intended to help mining practitioners, bridging the gap between 'pure' qualitative and quantitative approaches.
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