Mean throughput rate in restart-upon-failure systems subject to random disruptions
Haldun Aytug and
Anand Paul
IISE Transactions, 2022, vol. 54, issue 6, 578-589
Abstract:
We model a manufacturing or service system processing a fixed number of tasks subject to random disruptions generated by a renewal process, such that a task has to start over from scratch if it is interrupted. We study the impact of an increase in disruption rate on the mean throughput of the system, using tools from stochastic ordering. We show that a system that is stochastically better than another does not necessarily have a higher mean throughput–the deciding factor is the hazard rate of the underlying disruption process. We prove that a system that is better than another in the sense of hazard rate ordering of time between disruptions is guaranteed to enjoy a higher average throughput.
Date: 2022
References: Add references at CitEc
Citations:
Downloads: (external link)
http://hdl.handle.net/10.1080/24725854.2021.1975061 (text/html)
Access to full text is restricted to subscribers.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:taf:uiiexx:v:54:y:2022:i:6:p:578-589
Ordering information: This journal article can be ordered from
http://www.tandfonline.com/pricing/journal/uiie20
DOI: 10.1080/24725854.2021.1975061
Access Statistics for this article
IISE Transactions is currently edited by Jianjun Shi
More articles in IISE Transactions from Taylor & Francis Journals
Bibliographic data for series maintained by Chris Longhurst ().