Sequential Nonparametric Estimation of an Optimal Age Replacement Policy: A Simulated Study
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Authors
Aras, Girish
Whitaker, Lyn R.
Wu, Yang-Huang
Subjects
Advisors
Date of Issue
1993
Date
1993
Publisher
Taylor & Francis
Language
Abstract
Maintenance policies can reduce the number of system failures and
minimize costs by scheduling times for replacement. Even in the most
basic scenario, where the underlying system lifetimes are assumed to be
independent and identically distributed (iid), the problem of updating
maintenance policies using past maintenance history has not been
adequately solved. In this paper, Monte-Carlo methods are used to
study a particular nonparametric procedure of Aras and Whitaker
Type
Article
Description
The article of record as published may be found at https://doi.org/10.1080/03610919308813145
Series/Report No
Department
Operations Research (OR)
Organization
Naval Postgraduate School (U.S.)
Identifiers
NPS Report Number
Sponsors
NPS Foundation
Funder
Format
20 p.
Citation
Aras, G., Whitaker, L.R., and Wu, Y.H., “Sequential Nonparametric Estimation of an Optimal Age Replacement Policy: A Simulated Study,” Communications in Statistics: Simulation and Computation, Vol. 22, 1993.
Distribution Statement
Rights
This publication is a work of the U.S. Government as defined in Title 17, United States Code, Section 101. Copyright protection is not available for this work in the United States.