Abstract
A heavy-duty equipment, such as a dump truck operated in a mining industry experiences degradation caused by usage and operational condition. There are operational conditions influencing dump truck failure rate, such as load weight, road inclination and environmental conditions. In this research, dump truck failure is modeled using proportional hazard model (PHM) considering operational condition, age, and usage factors. Maintenance action is needed to control continuing failure to maintain the equipment always in good operation condition. A dump truck will need both preventive and corrective maintenance actions in order to be readily available for operation in mining industry. Considering that dump trucks are very complex and expensive, maintenance will be economical if it is conducted by an agent. In this research maintenance contract involved 2 parties, the owner and the agent. The agent offers 3 (three) options of maintenance contracts: (i) in house preventive maintenance conducting by the owner and corrective maintenance conducted by the agent (ii) both preventive and corrective maintenance conducted by the agent, (iii) preventive maintenance by the agent and in-house corrective maintenance by the owner, and determination of the optimal contract price for each option. Next the owner will choose the best option based on several options offered by the agent. The model used for decision is formulated by Nash game theory.
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