Crew rostering under a seniority preferential bidding environment using column generation

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dc.contributor.advisor Ryan, David en
dc.contributor.author Thornley, Megan Olive en
dc.date.accessioned 2020-07-08T05:01:04Z en
dc.date.available 2020-07-08T05:01:04Z en
dc.date.issued 1995 en
dc.identifier.uri http://hdl.handle.net/2292/52248 en
dc.description Full text is available to authenticated members of The University of Auckland only. en
dc.description.abstract Computerised scheduling using optimisation techniques presents significant potential savings opportunities, particularly for airlines where the aircraft and their crew are a costly resource. This thesis describes the development of a solution to an air crew rostering problem, formulated as a set partitioning model, for the International Pilots at Air New Zealand. The Seniority Preferential Bidding environment under which the pilots are rostered requires the minimum possible denial of crew bids in a hierarchical sense of crew seniority. An approach incorporating a column generator has been developed to ensure this problem can be optimally solved. The use of column generation is a new approach to solving the air crew rostering problem. Results are presented which demonstrate the effectiveness of this technique in this environment. The software developed during this research is currently in use in Air New Zealand's production systems. en
dc.publisher ResearchSpace@Auckland en
dc.relation.ispartof PhD Thesis - University of Auckland en
dc.relation.isreferencedby UoA9974827114002091 en
dc.rights Items in ResearchSpace are protected by copyright, with all rights reserved, unless otherwise indicated. en
dc.rights Restricted Item. Full text is available to authenticated members of The University of Auckland only. en
dc.rights.uri https://researchspace.auckland.ac.nz/docs/uoa-docs/rights.htm en
dc.title Crew rostering under a seniority preferential bidding environment using column generation en
dc.type Thesis en
thesis.degree.discipline Engineering Science en
thesis.degree.grantor The University of Auckland en
thesis.degree.level Doctoral en
thesis.degree.name PhD en
dc.rights.holder Copyright: The author en
dc.identifier.wikidata Q112854494


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