Cost Optimization of Some Stochastic Maintenance Policies

Ehud Menipaz

doi:10.1109/TR.1979.5220522

Cost Optimization of Some Stochastic Maintenance Policies

Ehud Menipaz

Research output: Contribution to journal › Article › peer-review

6 Scopus citations

Abstract

This paper examines a preparedness policy of a stochastically failing system. It deals with two yet unsolved problems in the field of maintenance policies. Problem 1 analyzes a model that includes a discount factor. Problem 2 analyzes a model that includes maintenance costs that change over time. The models are solved by a conventional method and by dynamic programming.

Original language	English
Pages (from-to)	133-136
Number of pages	4
Journal	IEEE Transactions on Reliability
Volume	R-28
Issue number	2
DOIs	https://doi.org/10.1109/TR.1979.5220522
State	Published - 1 Jan 1979
Externally published	Yes

Keywords

Discounting
Maintenance policiess
Optimization
Preparedness policies
Stochastic processes

ASJC Scopus subject areas

Safety, Risk, Reliability and Quality
Electrical and Electronic Engineering

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10.1109/TR.1979.5220522

Cite this

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abstract = "This paper examines a preparedness policy of a stochastically failing system. It deals with two yet unsolved problems in the field of maintenance policies. Problem 1 analyzes a model that includes a discount factor. Problem 2 analyzes a model that includes maintenance costs that change over time. The models are solved by a conventional method and by dynamic programming.",

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AB - This paper examines a preparedness policy of a stochastically failing system. It deals with two yet unsolved problems in the field of maintenance policies. Problem 1 analyzes a model that includes a discount factor. Problem 2 analyzes a model that includes maintenance costs that change over time. The models are solved by a conventional method and by dynamic programming.

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KW - Preparedness policies

KW - Stochastic processes

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Cost Optimization of Some Stochastic Maintenance Policies

Abstract

Keywords

ASJC Scopus subject areas

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