ACTUAL BLENDING LINEAR-PROGRAMMING MODEL IS DEVELOPED.

Magoulas, K; Kouris, DMarinos; Lygeros, A

dc.contributor.author	Magoulas, K	en
dc.contributor.author	Kouris, DMarinos	en
dc.contributor.author	Lygeros, A	en
dc.date.accessioned	2014-03-01T01:39:23Z
dc.date.available	2014-03-01T01:39:23Z
dc.date.issued	1988	en
dc.identifier.issn	00301388	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/22747
dc.relation.uri	http://www.scopus.com/inward/record.url?eid=2-s2.0-0024050291&partnerID=40&md5=b0e5f09664763cf6a5cc9a470d7a9db7	en
dc.subject.other	MATHEMATICAL PROGRAMMING, LINEAR	en
dc.subject.other	PRODUCTION CONTROL - Optimization	en
dc.subject.other	GASOLINE BLENDING	en
dc.subject.other	LINEAR PROGRAMMING/LP	en
dc.subject.other	GASOLINE	en
dc.title	ACTUAL BLENDING LINEAR-PROGRAMMING MODEL IS DEVELOPED.	en
heal.type	journalArticle	en
heal.publicationDate	1988	en
heal.abstract	Linear programming (LP) is useful to optimize gasoline blending problems. The LP mathematically represents the blending problem, taking into account the various blend components and their properties, the availability or inventory of the components, and the economic consequences associated with each particular blend. This last article of a two-part series shows how an LP model is set up for an actual gasoline blending problem. Its use is then demonstrated by two case studies that optimize catalytic reformer and fluid catalytic cracker (FCC) severities and lead level, and unleaded gasoline production. 4 Refs.	en
heal.journalName	Oil and Gas Journal	en
dc.identifier.volume	86	en
dc.identifier.issue	29	en
dc.identifier.spage	44	en
dc.identifier.epage	48	en