Production planning for multiproduct dehydration plants

Kiranoudis, CT; Maroulis, ZB; Marinos-Kouris, D

dc.contributor.author	Kiranoudis, CT	en
dc.contributor.author	Maroulis, ZB	en
dc.contributor.author	Marinos-Kouris, D	en
dc.date.accessioned	2014-03-01T01:10:10Z
dc.date.available	2014-03-01T01:10:10Z
dc.date.issued	1994	en
dc.identifier.issn	0307-904X	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/11327
dc.relation.uri	http://www.scopus.com/inward/record.url?eid=2-s2.0-0028372404&partnerID=40&md5=f7524c20e6914ae4f6e0da676875786e	en
dc.subject	conveyor belt dryers	en
dc.subject	inventory	en
dc.subject	modelling	en
dc.subject	multiple products	en
dc.subject	nonlinear optimization	en
dc.subject	time horizon	en
dc.subject.classification	Engineering, Multidisciplinary	en
dc.subject.classification	Mathematics, Interdisciplinary Applications	en
dc.subject.classification	Mechanics	en
dc.subject.other	Agricultural products	en
dc.subject.other	Belt conveyors	en
dc.subject.other	Industrial plants	en
dc.subject.other	Inventory control	en
dc.subject.other	Mathematical models	en
dc.subject.other	Operations research	en
dc.subject.other	Optimization	en
dc.subject.other	Production control	en
dc.subject.other	Storage (materials)	en
dc.subject.other	Strategic planning	en
dc.subject.other	Conveyor belt dryers	en
dc.subject.other	Multiple products	en
dc.subject.other	Multiproduct dehydration plant	en
dc.subject.other	Production planning	en
dc.subject.other	Storage capacity	en
dc.subject.other	Nonlinear programming	en
dc.subject.other	Drying	en
dc.subject.other	Planning	en
dc.subject.other	Production methods	en
dc.title	Production planning for multiproduct dehydration plants	en
heal.type	journalArticle	en
heal.language	English	en
heal.publicationDate	1994	en
heal.abstract	A nonlinear programming (NLP) approach to short- and long-term production planning for a multiproduct dehydration plant involving continuous conveyor belt dryers, utilized for the dehydration of agricultural products over a finite time horizon, is presented in this paper. Limitations imposed by storage capacity and customer orders, as well as constraints dictated by supply and demand patterns of raw materials and final products, respectively, are considered. The two problems dealt with are expressed in NLP formulations, which include in their objective function an operational cost component, inferred by deducing the mathematical model for all units participating in the plant. Characteristic examples are presented to demonstrate the effectiveness of the proposed approach. © 1994.	en
heal.publisher	BUTTERWORTH-HEINEMANN	en
heal.journalName	Applied Mathematical Modelling	en
dc.identifier.isi	ISI:A1994MT45600001	en
dc.identifier.volume	18	en
dc.identifier.issue	2	en
dc.identifier.spage	58	en
dc.identifier.epage	71	en