Please use this identifier to cite or link to this item: https://hdl.handle.net/1959.11/26795
Title: Scheduling arc shut downs in a network to maximize flow over time with a bounded number of jobs per time period
Contributor(s): Boland, Natashia (author); Kalinowski, Thomas  (author)orcid ; Kaur, Simranjit (author)
Publication Date: 2016-10
Early Online Version: 2015-05-29
DOI: 10.1007/s10878-015-9910-x
Handle Link: https://hdl.handle.net/1959.11/26795
Abstract: We study the problem of scheduling maintenance on arcs of a capacitated network so as to maximize the total flow from a source node to a sink node over a set of time periods. Maintenance on an arc shuts down the arc for the duration of the period in which its maintenance is scheduled, making its capacity zero for that period. A set of arcs is designated to have maintenance during the planning period, which will require each to be shut down for exactly one time period. In general this problem is known to be NP-hard, and several special instance classes have been studied. Here we propose an additional constraint which limits the number of maintenance jobs per time period, and we study the impact of this on the complexity.
Publication Type: Journal Article
Grant Details: ARC/LP0990739
Source of Publication: Journal of Combinatorial Optimization, 32(3), p. 885-905
Publisher: Springer New York LLC
Place of Publication: United States of America
ISSN: 1573-2886
1382-6905
Fields of Research (FoR) 2008: 010303 Optimisation
010206 Operations Research
Fields of Research (FoR) 2020: 490304 Optimisation
490108 Operations research
Socio-Economic Objective (SEO) 2008: 970101 Expanding Knowledge in the Mathematical Sciences
Socio-Economic Objective (SEO) 2020: 280118 Expanding knowledge in the mathematical sciences
Peer Reviewed: Yes
HERDC Category Description: C1 Refereed Article in a Scholarly Journal
Appears in Collections:Journal Article
School of Science and Technology

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