On-line scheduling in metal removal processing using variable routings and control strategies

Mamalis, AG; Malagardis, I; Pachos, E

dc.contributor.author	Mamalis, AG	en
dc.contributor.author	Malagardis, I	en
dc.contributor.author	Pachos, E	en
dc.date.accessioned	2014-03-01T01:11:21Z
dc.date.available	2014-03-01T01:11:21Z
dc.date.issued	1995	en
dc.identifier.issn	0951-5240	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/11609
dc.subject	on-line scheduling	en
dc.subject	simulation program	en
dc.subject	variable routing/control strategies	en
dc.subject.classification	Computer Science, Interdisciplinary Applications	en
dc.subject.classification	Engineering, Manufacturing	en
dc.subject.classification	Operations Research & Management Science	en
dc.subject.other	Algorithms	en
dc.subject.other	Calculations	en
dc.subject.other	Control systems	en
dc.subject.other	Data structures	en
dc.subject.other	Machine tools	en
dc.subject.other	Online systems	en
dc.subject.other	Optimization	en
dc.subject.other	Performance	en
dc.subject.other	Process control	en
dc.subject.other	Reciprocating pumps	en
dc.subject.other	Relational database systems	en
dc.subject.other	Scheduling	en
dc.subject.other	Metal removal processing	en
dc.subject.other	Online scheduling	en
dc.subject.other	Variable routing/control strategies	en
dc.subject.other	Computer simulation	en
dc.title	On-line scheduling in metal removal processing using variable routings and control strategies	en
heal.type	journalArticle	en
heal.identifier.primary	10.1016/0951-5240(95)92811-8	en
heal.identifier.secondary	http://dx.doi.org/10.1016/0951-5240(95)92811-8	en
heal.language	English	en
heal.publicationDate	1995	en
heal.abstract	In this paper, a simulation program for the analysis of operations in a manufacturing system is presented. The simulation program is integrated using a control algorithm and a relational data model implemented on the ORACLE RDBMS into a scheduling control system. The control algorithm considers the on-line use of alternative machines tools and/or alternative control strategies in order to optimize a given criterion, which in the present case corresponds to the total delay of jobs in the shop. A series of variables, such as the average machine utilization, were chosen to be the output. A sequential optimization approach, where the dynamically calculated average delay per job is assumed to represent the system state up to the current decision stage, is used for the control algorithm. An application of the scheduling control system to the manufacturing of a piston pump is also presented. The on-line utilization of variable routings and strategies was investigated, demonstrating the overall performance of the algorithm, namely a reduction of the total processing time up to 30%. © 1995.	en
heal.publisher	BUTTERWORTH-HEINEMANN LTD	en
heal.journalName	Computer Integrated Manufacturing Systems	en
dc.identifier.doi	10.1016/0951-5240(95)92811-8	en
dc.identifier.isi	ISI:A1995QL55200005	en
dc.identifier.volume	8	en
dc.identifier.issue	1	en
dc.identifier.spage	35	en
dc.identifier.epage	40	en