Stochastic flow shop scheduling model for the Panama Canal

dc.contributor.advisor John K. Jackman
dc.contributor.advisor Sigurdur Olafsson de Castillo, Zoila
dc.contributor.department Industrial and Manufacturing Systems Engineering 2018-08-24T20:09:02.000 2020-06-30T07:42:28Z 2020-06-30T07:42:28Z Sun Jan 01 00:00:00 UTC 2006 2006-01-01
dc.description.abstract <p>The Panama Canal can be modeled as a stochastic flexible flow shop for the purpose of scheduling. A metaheuristic stochastic optimization method (Nested Partition) was used to determine if current scheduling practices could be improved by reducing the makespan for vessel traffic. Results indicate that classifying the vessels according to the time that they spend transiting the canal and using some rules and metaheuristic technique for parallel flow shop improves the makespan. The schedules produced by this method show distinct patterns as described by the sequence of vessel types.</p>
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dc.identifier archive/
dc.identifier.articleid 2517
dc.identifier.contextkey 6094954
dc.identifier.s3bucket isulib-bepress-aws-west
dc.identifier.submissionpath rtd/1518
dc.language.iso en
dc.source.bitstream archive/|||Fri Jan 14 20:36:52 UTC 2022
dc.subject.disciplines Industrial Engineering
dc.subject.keywords Industrial and manufacturing systems engineering
dc.subject.keywords Industrial engineering
dc.title Stochastic flow shop scheduling model for the Panama Canal
dc.type article
dc.type.genre dissertation
dspace.entity.type Publication
relation.isOrgUnitOfPublication 51d8b1a0-5b93-4ee8-990a-a0e04d3501b1 dissertation Doctor of Philosophy
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