Equipment selection using Fuzzy Multi Criteria Decision Making model: Key study of Gole Gohar iron mine

Lashgari, Ali, Yazdani-Chamzini, Abdolreza, Fouladgar, Mohammad Majid, Zavadskas, Edmundas Kazimieras, Shafiee, Shahriar and Abbate, Nick (2012) Equipment selection using Fuzzy Multi Criteria Decision Making model: Key study of Gole Gohar iron mine. Inzinerine Ekonomika - Engineering Economics, 23 2: 125-136. doi:10.5755/

Author Lashgari, Ali
Yazdani-Chamzini, Abdolreza
Fouladgar, Mohammad Majid
Zavadskas, Edmundas Kazimieras
Shafiee, Shahriar
Abbate, Nick
Total Author Count Override 6
Title Equipment selection using Fuzzy Multi Criteria Decision Making model: Key study of Gole Gohar iron mine
Journal name Inzinerine Ekonomika - Engineering Economics
ISSN 1392-2785
Publication date 2012
Sub-type Article (original research)
DOI 10.5755/
Volume 23
Issue 2
Start page 125
End page 136
Total pages 12
Place of publication Kaunas, Lithuania
Publisher Kauno Technologijos Universitetas
Collection year 2013
Language eng
Abstract Loading and hauling contribute significantly towards expenses in surface mines. Thus selecting the most suitable system which minimizes the cost per ton and meets production needs is one of the main concerns of mine design and planning. It is also at times difficult to select the optimum equipment, as there are many possible options and influencing factors in selecting a system. Furthermore, some of these factors can be either quantitative or qualitative. As a result, the use of multi attribute decision making methods can be useful. In this article, the selection of the equipment fleet of Gole Gohar mine was done though four stages. First, feasible technical and operational options were determined. Next, the weights of influential criteria were determined using a hybrid method of fuzzy analytical hierarchical process and analytical network process. Then, the alternative preference rating matrix was calculated using fuzzy TOPSIS method and finally, the hierarchy of alternatives was decided by combining the available weight and ranking matrix. This model considers all affecting parameters simultaneously and facilitates making a reasonable decision about the most appropriate material handling equipment. For the purpose of evaluation in this method, the cost of each equipment fleet was assessed and compared using the traditional method. Results show that the use of the fleet of cable shovel and truck is the most economical loading and hauling system. The results not only indicate that proposed model offers chances to choose the best alternative among possible loading and hauling systems, but also help equipment managers to make an accurate and reasonable decision regarding all effective parameters.
Keyword MCDM
Fuzzy sets
Integrated model
Q-Index Code C1
Q-Index Status Confirmed Code
Institutional Status UQ

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