Comparative Analysis of Optimal Maintenance Policies Under General Repair With Underlying Weibull Distributions

Various replacement policies under Kijima's general repair model with the underlying Weibull distribution function are studied via two efficient methods. The first one is based on our previously derived approximate formula for the g-renewal function; the second is an improved Monte Carlo method. These methods enable an in-depth, comparative analysis of the maintenance polices in question. An efficient algorithm is suggested for finding optimal preventive replacement times. The influence of restoration factor, including the deviation from a minimal repair assumption, on the optimal solution is studied. A practical study illustration is provided.