Expert systems in production planning and scheduling: A state-of-the-art survey

Metaxiotis, KS; Askounis, D; Psarras, J

dc.contributor.author	Metaxiotis, KS	en
dc.contributor.author	Askounis, D	en
dc.contributor.author	Psarras, J	en
dc.date.accessioned	2014-03-01T01:17:53Z
dc.date.available	2014-03-01T01:17:53Z
dc.date.issued	2002	en
dc.identifier.issn	0956-5515	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/14692
dc.subject	Artificial intelligence	en
dc.subject	Expert systems	en
dc.subject	Intelligent manufacturing	en
dc.subject	Production planning	en
dc.subject	Scheduling	en
dc.subject.classification	Computer Science, Artificial Intelligence	en
dc.subject.classification	Engineering, Manufacturing	en
dc.subject.other	Artificial intelligence	en
dc.subject.other	Computer integrated manufacturing	en
dc.subject.other	Planning	en
dc.subject.other	Problem solving	en
dc.subject.other	Production engineering	en
dc.subject.other	Scheduling	en
dc.subject.other	Technological forecasting	en
dc.subject.other	Intelligent manufacturing	en
dc.subject.other	Production planning	en
dc.subject.other	Expert systems	en
dc.title	Expert systems in production planning and scheduling: A state-of-the-art survey	en
heal.type	journalArticle	en
heal.identifier.primary	10.1023/A:1016064126976	en
heal.identifier.secondary	http://dx.doi.org/10.1023/A:1016064126976	en
heal.language	English	en
heal.publicationDate	2002	en
heal.abstract	Intelligent solutions, based on expert systems, to solve problems in the field of production planning and scheduling are becoming more and more widespread nowadays. Especially the last decade has witnessed a growing number of manufacturing companies, including glass, oil, aerospace, computers, electronics, metal and chemical industries - to name just a few - interested in the applications of expert systems (ESs) in manufacturing. This paper is a state-of-the-art review of the use of ESs in the field of production planning and scheduling. The paper presents famous expert systems known in the literature and current applications, analyzes the relative benefits and concludes by sharing thoughts and estimations on ESs future prospects in this area.	en
heal.publisher	KLUWER ACADEMIC PUBL	en
heal.journalName	Journal of Intelligent Manufacturing	en
dc.identifier.doi	10.1023/A:1016064126976	en
dc.identifier.isi	ISI:000176503500003	en
dc.identifier.volume	13	en
dc.identifier.issue	4	en
dc.identifier.spage	253	en
dc.identifier.epage	260	en