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Optimal replacement strategy for stochastic deteriorating system with random wear limit under periodic inspections

Authors
Lee, Bae JinKang, Chang WookKim, Seong-JoonBae, Suk Joo
Issue Date
Mar-2014
Publisher
SPRINGER LONDON LTD
Keywords
Condition-based maintenance; Gamma process; Periodic inspection; Breakdown threshold; Renewal theory; Preventive maintenance
Citation
INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY, v.71, no.1-4, pp.219 - 231
Indexed
SCIE
SCOPUS
Journal Title
INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY
Volume
71
Number
1-4
Start Page
219
End Page
231
URI
https://scholarworks.bwise.kr/erica/handle/2021.sw.erica/23682
DOI
10.1007/s00170-013-5396-9
ISSN
0268-3768
Abstract
In this paper, we examine the preventive maintenance policies for systems/items which are degraded continuously in time and the degree of deterioration that can be observed through periodic inspection. The items will be replaced preventively if the wear process exceeds a limit at periodic inspection or replaced immediately on failure. The limit is assumed to be random in taking individual variation to withstand damages or unmeasurable variables latent to failure into account. Continuous wear process is modeled via a gamma process. We derive an optimal wear limit for preventive replacement so that the long-run total expected cost per unit time is minimized. The proposed method is applied to a problem of block mat inspection for the barrier's seabed protection.
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COLLEGE OF ENGINEERING SCIENCES > DEPARTMENT OF INDUSTRIAL & MANAGEMENT ENGINEERING > 1. Journal Articles

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