Inference on maintenance service policy under step-stress partially accelerated life tests using progressive censoring

Abstract

In this paper, we describe how to analyze and design the accelerated life test plans to improve the quality and reliability of the item. We focus on estimating the costs of maintenance service policy because it plays an important role in assisting any manufacturing organization for sale and available equipment and maintenance cost-effective. The step-stress partially accelerated life test is assumed when the lifetime of test units follows Generalized Inverted Exponential distribution under the progressive censoring scheme. The maximum likelihood estimates,Fisher Information matrix, and the asymptotic variance and covariance matrix are obtained. The confidence intervals of the estimators are also obtained. Furthermore, a simulation study is conducted to check the accuracy of the results.