An MILP model for optimal scheduling of the lubricant production plant

Doganis, P; Sarimveis, H; Bafas, G; Koufos, D

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