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An MILP model for optimal scheduling of the lubricant production plant

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dc.contributor.author Doganis, P en
dc.contributor.author Sarimveis, H en
dc.contributor.author Bafas, G en
dc.contributor.author Koufos, D en
dc.date.accessioned 2014-03-01T01:21:50Z
dc.date.available 2014-03-01T01:21:50Z
dc.date.issued 2005 en
dc.identifier.issn 0098-6445 en
dc.identifier.uri https://dspace.lib.ntua.gr/xmlui/handle/123456789/16391
dc.subject Finite intermediate storage en
dc.subject Lubricants production en
dc.subject Mixed integer linear programming en
dc.subject Production planning and scheduling en
dc.subject.classification Engineering, Chemical en
dc.subject.other Integer programming en
dc.subject.other Linear programming en
dc.subject.other Mathematical models en
dc.subject.other Problem solving en
dc.subject.other Binary variables en
dc.subject.other Lubricant production plants en
dc.subject.other Mixed integer linear programming (MILP) models en
dc.subject.other Production engineers en
dc.subject.other Lubricants en
dc.subject.other lubricant manufacture en
dc.subject.other optimization en
dc.title An MILP model for optimal scheduling of the lubricant production plant en
heal.type journalArticle en
heal.identifier.primary 10.1080/009864490522605 en
heal.identifier.secondary http://dx.doi.org/10.1080/009864490522605 en
heal.language English en
heal.publicationDate 2005 en
heal.abstract In this article we are developing a model that can be used for determining the optimal production schedule in a lubricant production plant. The model includes all the main stages in the lubricant production process, contains both continuous and binary variables, and results in the formulation of a mixed integer linear programming (MILP) problem that is solved using standard optimization techniques. The model can be easily adapted to any lube production facility, thus providing a valuable tool to refineries in their effort to automate the production scheduling process. The proposed tool can save valuable time and resources by eliminating the time-consuming search for a feasible production plan that production engineers go through in order to meet production demands. Copyright © Taylor & Francis Inc. en
heal.publisher TAYLOR & FRANCIS LTD en
heal.journalName Chemical Engineering Communications en
dc.identifier.doi 10.1080/009864490522605 en
dc.identifier.isi ISI:000230022900005 en
dc.identifier.volume 192 en
dc.identifier.issue 7-9 en
dc.identifier.spage 1067 en
dc.identifier.epage 1084 en


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