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Identification of Effective Factors on Mineral Processing Plant Site Selection and Ranking them by AHP Method

Publish Year: 1392
Type: Conference paper
Language: English
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ICCAU01_3004

Index date: 20 July 2014

Identification of Effective Factors on Mineral Processing Plant Site Selection and Ranking them by AHP Method abstract

Selection of a mineral processing plant location, near a mine is one of the most important parameters that directly affect the mining process. If this stage executed properly, experts can expect that efficiency will increase and on the other hand costs and destructive effects on the environment will decrease, because of such a successful decision. Factors that effect on Plant location include economical, traditional, technological, technical and etc. In this paper many efforts was done to identify the effective factors and classify them in suitable categories. Factors were identified by library studies and some current problems, caused by unsuitable location, in a number of mineral processing plants. After this stage, expert's opinions were collected by using questionnaires in pair-wise comparisons. At the end, by using AHP Method and combining 5 expert's opinions in different fields (Mining exploration, Mining excavation, Rock mechanics, Mineral processing, and Mining management), affecting factors were ranked.

Identification of Effective Factors on Mineral Processing Plant Site Selection and Ranking them by AHP Method Keywords:

Mineral Processing Plant Location , Site Selection , Analytic Hierarchy Process (AHP

Identification of Effective Factors on Mineral Processing Plant Site Selection and Ranking them by AHP Method authors

Naer Rahmani

M.Sc. Student of Mining Engineering, Shahid Bahonar University of Kerman - Iran,

Hojjat Ranjbar

Professor of Applied Remote Sensing, Shahid Bahonar University of Kerman - Iran

Abbas Sam

Assistant Professor of Mineral Processing, Shahid Bahonar University of Kerman - Iran

Ali Taghinejad

M.Sc. in Geology, Member of N.I.C.I.Co. - Iran

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Kahraman, C. (Ed.). (2008). Fuzzy multi-criteria decision making: theory and ...
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