Please use this identifier to cite or link to this item: https://hdl.handle.net/10419/178251 
Year of Publication: 
2015
Citation: 
[Journal:] Operations Research Perspectives [ISSN:] 2214-7160 [Volume:] 2 [Publisher:] Elsevier [Place:] Amsterdam [Year:] 2015 [Pages:] 73-80
Publisher: 
Elsevier, Amsterdam
Abstract: 
Management decisions regarding maintenance protocols critically hinge on the underlying probability distribution of the time between failures in most repairable systems. Replacement of the system with a new one resets the system age to zero, whereas a repair does not alter the system age but may shift the parameters of the failure-time distribution. Additionally, maintenance decisions lead to left-truncated observations, and right-censored observations. Thus, the underlying stochastic process governing a repairable system evolves based on the management decision taken.
Subjects: 
Kijima model
Decision dependence
Maintenance schedule
Repairable system
Spiral down effect
Persistent Identifier of the first edition: 
Creative Commons License: 
cc-by-nc-nd Logo
Document Type: 
Article

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