Preventive Maintenance and Replacement Model for Mechanically Repairable Systems with Linearly Increasing Hazard Rate

Abstract

Most machines fail due to lack of appropriate preventive maintenance (PM) and replacement schedule, and this failure leads to higher cost of repair maintenance, distortion of production schedule, elongated downtime period and reduced productivity. These could however be avoided by the utilization of optimal PM and replacement models suited for the specific kind of system. It is on this premise that this work develops an optimal PM and replacement model for mechanically repairable systems with linearly increasing hazard rate which failure distribution of the system is characterized by the Rayleigh distribution. The failure times of a Rolls Royce dredging machine was used as real-time data to obtain the PM and replacement schedule for the machine at respective cost ratios. The results showed that the model provided an effective maintenance schedule for the machine and ensures optimal performance.