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Information Journal Paper

Title

SELECTION OF THE MOST APPROPRIATE DRILLING MACHINE BY USING MADM METHODS, CASE STUDY: IRON ORE MINE OF SANGAN

Pages

  93-111

Abstract

 The issues of decision-making, the ultimate goal is to achieve appropriate and efficient decision. Given today's mining complex conditions and multiple choices, decisions, procedures, have been very useful. Open pit mines equipment selection due to high investment levels for varying conditions, an important issue is that if the wrong decision is taken, it can exploit the mine deal with that question. Multi-criteria decision-making methods for ease of use and perfect results are more fortunate among managers and engineers enjoy this. In this study, Linear Assignment (LA), Technique for order Preference by Similarity to ideal Solution (TOPSIS) and Simple Additive Weighting (SAW) as the most important methods of multiple Attribute decision making (MADM), to select the most appropriate DRILLING MACHINE for mine of SANGAN has been used. Based on the results of the most appropriate machine for DRILLING MACHINE Sandvic DI100 model was selected.

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    Cite

    APA: Copy

    HYATI, M., & ATAEI, M.. (2013). SELECTION OF THE MOST APPROPRIATE DRILLING MACHINE BY USING MADM METHODS, CASE STUDY: IRON ORE MINE OF SANGAN. JOURNAL OF OPERATIONAL RESEARCH AND ITS APPLICATIONS (JOURNAL OF APPLIED MATHEMATICS), 10(2 (37)), 93-111. SID. https://sid.ir/paper/164674/en

    Vancouver: Copy

    HYATI M., ATAEI M.. SELECTION OF THE MOST APPROPRIATE DRILLING MACHINE BY USING MADM METHODS, CASE STUDY: IRON ORE MINE OF SANGAN. JOURNAL OF OPERATIONAL RESEARCH AND ITS APPLICATIONS (JOURNAL OF APPLIED MATHEMATICS)[Internet]. 2013;10(2 (37)):93-111. Available from: https://sid.ir/paper/164674/en

    IEEE: Copy

    M. HYATI, and M. ATAEI, “SELECTION OF THE MOST APPROPRIATE DRILLING MACHINE BY USING MADM METHODS, CASE STUDY: IRON ORE MINE OF SANGAN,” JOURNAL OF OPERATIONAL RESEARCH AND ITS APPLICATIONS (JOURNAL OF APPLIED MATHEMATICS), vol. 10, no. 2 (37), pp. 93–111, 2013, [Online]. Available: https://sid.ir/paper/164674/en

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