Periodical Preventive Maintenance Schedule for Minimum Cost Using Geometric Process Model in Accelerated life Testing With Exponentiated Weibull Failure Data

Abstract
Maintenance may be considered the heath care of our manufacturing machines
and equipment. It is required to effectively reduce waste and run an efficient, continuous manufacturing operation, business, or service operation. The planned maintenance of equipment will help to improve equipment life. The goal of this paper is to estimate the Periodical Preventive Maintenance Schedule which minimize  the total cost of maintenance. The research concern on estimating the parameters of time failures Exponentiated Weibull distribution using Geometric process model in accelerated life testing . Maximum likelihood method is used to estimate the model parameters and acceleration factor of lifetime distribution from the test data. Confidence Interval for the model parameters  are constructed using  normal approximation  and bootstrap method. we used the estimated parameters to obtain periodical preventive maintenance schedule which minimizes the total maintenance cost. Finally, Some numerical illustrations are provided .