3.8 Article

An application of the analytic hierarchy process in equipment selection at Orhaneli open pit coal mine

Publisher

TAYLOR & FRANCIS LTD
DOI: 10.1179/037178404225004968

Keywords

Open Pit Mining; equipment selection; decision making; analytic hierarchy process

Ask authors/readers for more resources

Equipment selection is one of the most important factors in open pit design and production planning Equipment selection also affects economic considerations in open-pit design as a function of plan location and depth. Furthermore, equipment selection is a complex multi-person, multi-criteria decision problem. The group decision-making process can be improved by a systematic and logical approach to assess priorities based on the inputs of several specialists from different functional areas within the mine company The analytic hierarchy A/ in involving several process (AHP) can be wry use decision-makers with different conflicting objectives to arrive at a consensus decision. In this paper, the selection of a loading-haulings system using an AHP-based model was evaluated for coal production in an open pit coal mine located Orhaneli, in western Turkey The use of the proposed model indicates that it can be applied to improve group decision making in selecting equipment that satisfies optimal specifications. Also, it is found that the decision process is systematic and that using the proposed A HP model can reduce the time taken to select optimal equipment. The author is in the Mining Engineering Department, Istanbul University, Avcilar 34320, Istanbul, Turkey (E-mail: atac@istanbul.edu.tr). (C) 2004 Institute of Material, Minerals & Mining and Australasian Institute of Mining and Metallurgy. Published by Maney, on behalf of the Institutes. Manuscript received 27 February 2003; accepted in final form 1 August 2003.

Authors

I am an author on this paper
Click your name to claim this paper and add it to your profile.

Reviews

Primary Rating

3.8
Not enough ratings

Secondary Ratings

Novelty
-
Significance
-
Scientific rigor
-
Rate this paper

Recommended

No Data Available
No Data Available