A NEW FUZZY MULTI CRITERIA DECISION MAKING MODEL FOR OPEN PIT MINES EQUIPMENT SELECTION

Abbas Aghajani Bazzazi, Morteza Osanloo and Behrooz Karimi
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Abbas Aghajani Bazzazi: Department of Mining Engineering, Savadkooh Branch Islamic Azad University, Savadkooh, Iran
Morteza Osanloo: Department of Mining & Metallurgical Engineering Amirkabir University of Technology, Tehran, Iran
Behrooz Karimi: Department of Industrial Engineering Amirkabir University of Technology, Tehran, Iran

Asia-Pacific Journal of Operational Research (APJOR), 2011, vol. 28, issue 03, 279-300

Abstract: Nowadays, the capital cost of open-pit mining equipment is very high so any mistake in the selection of quantity, type and capacity of equipment may cause irreparable impact on the net present value of mining project. Mine planning engineers generally use their intuition and experience in decision making even though equipment selection is a complex multi criteria decision problem. Considering the tangible along with intangible factors in the mine equipment selection problem, this paper proposes a new method of multi criteria decision making (MCDM) that makes it possible to select the optimal equipment that satisfies the decision maker. In a real-world situation, because of incomplete or non-obtainable information, the data (attributes) are often not deterministic but they are usually fuzzy-imprecise. Our proposed model considers objective, critical, and subjective factors as the three main common factors in equipment selection analysis. The last two factors, critical and subjective factors, are defined by decision maker's judgments for more adoption with real world problems. A case study is presented to illustrate the use of the proposed model and to demonstrate the capability of the model. The result of this study shows significant reduction of time consumption of calculation and good precision compared to customary methods such as Chang's fuzzy AHP method.

Keywords: Fuzzy sets; multiple criteria analysis; decision support systems; mining equipment selection (search for similar items in EconPapers)
Date: 2011
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Citations: View citations in EconPapers (7)

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DOI: 10.1142/S0217595911003247

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