Tehrān, Iran
Tehrān, Iran

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Lashgari A.,Tarbiat Modares University | Fouladgar M.M.,Fateh Research Group | Yazdani-Chamzini A.,Fateh Research Group | Skibniewski M.J.,University of Bialystok
Journal of Civil Engineering and Management | Year: 2011

Shafts have critical importance in deep mines and underground constructions. There are several traditional and mechanized methods for shaft sinking operations. Using mechanized excavation technique is an applicable alternative to improve project performance, although impose a huge capital cost. There are a number of key parameters for this selection which often are in conflict with each other and decision maker should seek a balance between these parameters. Therefore, shaft sinking method selection is a multi criteria decision making problem. This paper intends to use the combination of analytical hierarchy process and TOPSIS (Technique for Order Performance by Similarity to Ideal Solution) methods under fuzzy environment in order to select a proper shaft sinking method. A real world application is conducted to illustrate the utilization of the model for the shaft sinking problem in Parvadeh Coal Mine. The results show that using raise boring machine is selected as the most appropriate shaft sinking method for this mine. Copyright © 2011 Vilnius Gediminas Technical University (VGTU) Press Technika.

Lashgari A.,Islamic Azad University at Tehran | Yazdani-chamzini A.,Fateh Research Group | Fouladgar M.M.,Fateh Research Group | Zavadskas E.K.,Vilnius Gediminas Technical University | And 2 more authors.
Engineering Economics | Year: 2012

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. © 2012 Inzinerine Ekonomika-Engineering Economics All right received.

Fouladgar M.M.,Fateh Research Group | Yazdani-Chamzini A.,Fateh Research Group | Zavadskas E.K.,Vilnius Gediminas Technical University
Archives of Civil and Mechanical Engineering | Year: 2012

Tunneling industry has seen great advancements in underground construction projects. Now, it has significant difference with the last two decades. In many times, tunneling projects find themselves involved in the situation where unexpected conditions threaten the continuation of project. Managers always look for a reliable technique to overcome limitations of finance and time. TOPSIS method is widely used to solve multi criteria decision making (MADM) problems. This technique assigns the best alternative among a pool of feasible alternatives. Furthermore, due to inherent uncertainties in tunneling, using fuzzy logic in order to take into account these uncertainties can be useful. In addition, new factors are introduced to promote the accuracy of risk analysis. Finally, a real world case study is presented to show the effectiveness and the accuracy of the new risk evaluation model. The results demonstrated that collapse is the riskiest parameter in Ghomroud water conveyance tunneling project. © 2012 Politechnika Wroclawska.

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