Mill-wide optimization based on mathematical programming techniques

Sarimveis, H; Angelou, A; Retsina, T

dc.contributor.author	Sarimveis, H	en
dc.contributor.author	Angelou, A	en
dc.contributor.author	Retsina, T	en
dc.date.accessioned	2014-03-01T02:49:15Z
dc.date.available	2014-03-01T02:49:15Z
dc.date.issued	2002	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/34438
dc.relation.uri	http://www.scopus.com/inward/record.url?eid=2-s2.0-0142188152&partnerID=40&md5=9e0636507a90e31247d0456afe464531	en
dc.subject.other	Integer programming	en
dc.subject.other	Inventory control	en
dc.subject.other	Linear programming	en
dc.subject.other	Production control	en
dc.subject.other	Mixed integer linear programming (MILP)	en
dc.subject.other	Paper and pulp mills	en
dc.subject.other	Inventory Control	en
dc.subject.other	Linear Programing	en
dc.subject.other	Paper Mills	en
dc.subject.other	Production Control	en
dc.title	Mill-wide optimization based on mathematical programming techniques	en
heal.type	conferenceItem	en
heal.publicationDate	2002	en
heal.abstract	In this work we present a methodology, which can help the mill managers to make successful decisions towards the best possible operation of the mill. The objective is the maximization of profit through optimal management of inventories and selection of production rates. In order to use this methodology, a mill wide detailed model is first developed, taking into account the mass and energy balances, system constraints, storage capacities etc. MILP (Mixed Integer Linear Programming) optimization techniques are then utilized so as to minimize the economical impact of the scheduled shutdowns and the daily disturbances, which are due to machine breakdowns, real time pricing of utilities and changing production demands.	en
heal.journalName	TAPPI Technology Summit	en
dc.identifier.spage	177	en
dc.identifier.epage	185	en