Optimum Life Testing Plans under Progressive Censoring  
Author Ritwik Bhattacharya


Co-Author(s) Biswabrata Pradhan; Anup Dewanji


Abstract This article considers the determination of optimum settings of design parameters of a life testing experiment under progressive censoring scheme by minimizing the total cost associated with the experiment. It is shown that the proposed cost function is scale invariant for location-scale and log-location-scale families of distribution. This is a discrete optimization problem, in which the optimum solution cannot be obtained analytically. However, a metaheuristic algorithm based on variable neighborhood search approach is proposed to obtain optimum censoring scheme. Finally, a well-planned sensitivity analysis is done in order to study the effect of mis-specification of parameter values and cost components on the optimum solution.


Keywords Discrete optimization, Fisher information, Optimum censoring schemes, Scale invariant, Type-II progressive censoring
    Article #:  20327
Proceedings of the 20th ISSAT International Conference on Reliability and Quality in Design
August 7-9, 2014 - Seattle, Washington, U.S.A.