Abstract
The problem of handling equipment selection plays a significant role in the total cost of a mining project; so that it can affect the activity and continuity of the project and is a strategic problem. In this study, an integrated model based on two fuzzy multi-criteria decision making techniques for handling equipment selection is proposed. The proposed evaluation model is derived from group decision making, fuzzy set theory, analytical hierarchy process (AHP), and Technique to Order Preference by Similarity to Ideal Solution (TOPSIS) methods. The fuzzy AHP (FAHP) method is utilized to calculate the relative importance of the evaluation criteria, then, fuzzy TOPSIS (FTOPSIS) is applied for evaluating the feasible handling equipment in order to select the best handling system among a pool of the possible alternatives. The model is applied for a real world case study to demonstrate the capability and effectiveness of the proposed model. To investigate the result sensitiveness to the changes of the criteria weights, a sensitivity analysis is finally conducted.
Highlights
Equipment selection plays a key role in mining design due to the fact that an inappropriate selection can negatively affect the overall cost and continuity of a mine
The problem of handling equipment selection is a multi criteria decision making (MCDM) issue because it comprises a set of effective criteria that are often in conflict with each other
Bazzazi et al (2011a) presented an evaluation model based on deterministic data, fuzzy numbers, interval numbers and linguistic terms to select loading–hauling system for an iron ore open pit mine
Summary
Equipment selection plays a key role in mining design due to the fact that an inappropriate selection can negatively affect the overall cost and continuity of a mine. Chakraborty and Banik (2006) developed an AHP for designing a material handling equipment selection model They used pairwise comparison matrices to measure the relative importance of each criteria, subcriteria and sub-subcriteria and determined the overall ranking of each alternative equipment. Bazzazi et al (2011a) presented an evaluation model based on deterministic data, fuzzy numbers, interval numbers and linguistic terms to select loading–hauling system for an iron ore open pit mine In this model, a combination of AHP and entropy method was applied for attribute weighting and VIKOR was employed to rank the feasible alternatives. Tuzkaya et al (2010) proposed an integrated fuzzy multi-criteria decision making methodology for material handling equipment selection problem (MHESP). An integrated model based on FTOPSIS and FAHP methods under group decision making is proposed to select the most appropriate handling equipment.
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