GENESYS: An expert system for production scheduling

Metaxiotis, KS; Psarras, JE; Askounis, DT

dc.contributor.author	Metaxiotis, KS	en
dc.contributor.author	Psarras, JE	en
dc.contributor.author	Askounis, DT	en
dc.date.accessioned	2014-03-01T01:17:56Z
dc.date.available	2014-03-01T01:17:56Z
dc.date.issued	2002	en
dc.identifier.issn	0263-5577	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/14713
dc.subject	Expert systems	en
dc.subject	Knowledge-based systems	en
dc.subject	Manufacturing	en
dc.subject	Production scheduling	en
dc.subject.classification	Computer Science, Interdisciplinary Applications	en
dc.subject.classification	Engineering, Industrial	en
dc.subject.other	Algorithms	en
dc.subject.other	Artificial intelligence	en
dc.subject.other	Decision making	en
dc.subject.other	Enterprise resource planning	en
dc.subject.other	Expert systems	en
dc.subject.other	Management information systems	en
dc.subject.other	Marketing	en
dc.subject.other	Multiprocessing systems	en
dc.subject.other	Scheduling	en
dc.subject.other	Software engineering	en
dc.subject.other	Strategic planning	en
dc.subject.other	User interfaces	en
dc.subject.other	Generic expert system for scheduling	en
dc.subject.other	Intelligent production scheduling	en
dc.subject.other	Computer integrated manufacturing	en
dc.title	GENESYS: An expert system for production scheduling	en
heal.type	journalArticle	en
heal.identifier.primary	10.1108/2635570210432000	en
heal.identifier.secondary	http://dx.doi.org/10.1108/2635570210432000	en
heal.language	English	en
heal.publicationDate	2002	en
heal.abstract	Planning and scheduling are forms of decision making, which play a crucial role in manufacturing as well as in service industries. In the current competitive environment, effective sequencing and scheduling has become a necessity for survival in the marketplace. A great challenge for today's companies is not only how to adapt to this changing, competitive business environment but also how to draw a competitive advantage from the way in which they choose to do so. Intelligent solutions, based on expert systems, to solve problems in the field of production planning and scheduling are becoming more and more widespread nowadays. Proposes an expert system, which uses the prevailing conditions in the industrial environment in order to select and ""fire"" dynamically the most appropriate scheduling algorithm from a library of many candidate algorithms.	en
heal.publisher	EMERALD	en
heal.journalName	Industrial Management and Data Systems	en
dc.identifier.doi	10.1108/2635570210432000	en
dc.identifier.isi	ISI:000177644700008	en
dc.identifier.volume	102	en
dc.identifier.issue	5-6	en
dc.identifier.spage	309	en
dc.identifier.epage	317	en