Optimization Model for Maintenance Planning of Loading Equipment in Open Pit Mines



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Submitted Oct 1, 2022
Published Oct 26, 2022
10.24018/ejeng.2022.7.5.2907

Abstract viewed = 537 times

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Maintenance plays a significant role in operating costs in the mining industry. Improving this matter controls maintenance costs and enhances productivity and production effectively. Shovels are one of the most widely used loading machines in non-continuous activities. Thus, evaluating and optimizing their availability is one of the essential solutions to achieving high productivity and cost reduction. This paper presents a mathematical programming model to maximize availability and minimize the total expected costs. We programmed the proposed nonlinear planning model using the Symbiotic Organisms Search (SOS) meta-heuristic algorithm in Matlab software. It determines the optimal maintenance intervals for different parts of the shovel. The maintenance benefit analysis approach selects various maintenance activities in optimal maintenance intervals. The model is implemented in a practical case study, Chadormalu Iron Mine, to evaluate its performance. The failure distribution matches the Weibull distribution function. The computational results show the efficiency of the presented approach.

Keywords: Multi-Objective Model, Symbiotic Organisms Search (SOS), Meta-Heuristic Algorithm, Weibull Distribution, and Maintenance-Benefit Analysis.

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