Optimal replacement of a system with markov-modulated degradation

M. Yasin Ulukus; Jeffrey P. Kharoufeh; Lisa M. Maillart

Optimal replacement of a system with markov-modulated degradation

M. Yasin Ulukus
, Jeffrey P. Kharoufeh
, Lisa M. Maillart

Univ. of Pittsburgh

Araştırma sonucu: Konferansa katkı › Yazı › bilirkişi

Özet

We examine the problem of optimally maintaining a stochastically degrading system using preventive replacements. The system's rate of degradation is governed by an external environment, and the system fails once its cumulative degradation level reaches a fixed threshold. The objective is to minimize the total expected discounted cost of preventive and emergency replacements. To this end, we provide a Markov decision process model and present preliminary structural and numerical results.

Orijinal dil	İngilizce
Yayın durumu	Yayınlandı - 2010
Harici olarak yayınlandı	Evet
Etkinlik	IIE Annual Conference and Expo 2010 - Cancun, Mexico Süre: 5 Haz 2010 → 9 Haz 2010

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???event.eventtypes.event.conference???	IIE Annual Conference and Expo 2010
Ülke/Bölge	Mexico
Şehir	Cancun
Periyot	5/06/10 → 9/06/10

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Link to publication in Scopus

Alıntı Yap

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title = "Optimal replacement of a system with markov-modulated degradation",

abstract = "We examine the problem of optimally maintaining a stochastically degrading system using preventive replacements. The system's rate of degradation is governed by an external environment, and the system fails once its cumulative degradation level reaches a fixed threshold. The objective is to minimize the total expected discounted cost of preventive and emergency replacements. To this end, we provide a Markov decision process model and present preliminary structural and numerical results.",

keywords = "Degradation, Markov decision process, Replacement",

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TY - CONF

T1 - Optimal replacement of a system with markov-modulated degradation

AU - Ulukus, M. Yasin

AU - Kharoufeh, Jeffrey P.

AU - Maillart, Lisa M.

PY - 2010

Y1 - 2010

N2 - We examine the problem of optimally maintaining a stochastically degrading system using preventive replacements. The system's rate of degradation is governed by an external environment, and the system fails once its cumulative degradation level reaches a fixed threshold. The objective is to minimize the total expected discounted cost of preventive and emergency replacements. To this end, we provide a Markov decision process model and present preliminary structural and numerical results.

AB - We examine the problem of optimally maintaining a stochastically degrading system using preventive replacements. The system's rate of degradation is governed by an external environment, and the system fails once its cumulative degradation level reaches a fixed threshold. The objective is to minimize the total expected discounted cost of preventive and emergency replacements. To this end, we provide a Markov decision process model and present preliminary structural and numerical results.

KW - Degradation

KW - Markov decision process

KW - Replacement

UR - https://www.scopus.com/pages/publications/84901044750

M3 - Paper

AN - SCOPUS:84901044750

T2 - IIE Annual Conference and Expo 2010

Y2 - 5 June 2010 through 9 June 2010

ER -

Optimal replacement of a system with markov-modulated degradation

Özet

???event.eventtypes.event.conference???

Diğer Dosyalar ve Linkler

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