Mine maintenance time as a non‐linear optimization problem under uncertainty

Abstract

Purpose

During operation, mines experience safety, reliability, environmental and financial problems. In order to avoid these problems or idle capacities, mining operations should be performed within the specified reliability level of the system. Therefore, mining sub‐systems such as drilling, blasting, loading, hauling, ventilation, hoisting and supporting should be designed and maintained carefully. In this context, maintenance time causes a critical optimization problem in mines. The purpose of this paper is to address these issues.

Design/methodology/approach

The problem is formulated as a non‐linear optimization problem and solved by genetic algorithms. A case study is conducted to demonstrate to the performance of approach for an underground operation.

Findings

The results show that the approach can be used to determine the best action time.

Practical implications

The approach can be applicable to different mining methods in more sophisticated sub‐systems.

Originality/value

The paper recommends a genetic algorithmic approach to make a decision on optimal timing of maintenance of a mine.

Citation

Kumral, M. (2009), "Mine maintenance time as a non‐linear optimization problem under uncertainty", Journal of Quality in Maintenance Engineering, Vol. 15 No. 3, pp. 297-307. https://doi.org/10.1108/13552510910983233