dc.contributor.author |
El Raheb, K |
en |
dc.contributor.author |
Kiranoudis, CT |
en |
dc.contributor.author |
Repoussis, PP |
en |
dc.contributor.author |
Tarantilis, CD |
en |
dc.date.accessioned |
2014-03-01T01:22:58Z |
|
dc.date.available |
2014-03-01T01:22:58Z |
|
dc.date.issued |
2005 |
en |
dc.identifier.issn |
1335-9150 |
en |
dc.identifier.uri |
https://dspace.lib.ntua.gr/xmlui/handle/123456789/16749 |
|
dc.relation.uri |
http://www.scopus.com/inward/record.url?eid=2-s2.0-30844473076&partnerID=40&md5=51ef1be1281f65d393b88568a0f4c863 |
en |
dc.relation.uri |
http://www.informatik.uni-trier.de/~ley/db/journals/cai/cai24.html#RahebKRT05 |
en |
dc.subject |
Heuristic search |
en |
dc.subject |
Parallel machine scheduling |
en |
dc.subject |
Precedence constraints |
en |
dc.subject.classification |
Computer Science, Artificial Intelligence |
en |
dc.subject.other |
VEHICLE-ROUTING PROBLEM |
en |
dc.subject.other |
DEPENDENT SETUP TIMES |
en |
dc.subject.other |
APPROXIMATION ALGORITHM |
en |
dc.subject.other |
LOCAL SEARCH |
en |
dc.subject.other |
PROJECT |
en |
dc.title |
Production scheduling with complex precedence constraints in parallel machines |
en |
heal.type |
journalArticle |
en |
heal.language |
English |
en |
heal.publicationDate |
2005 |
en |
heal.abstract |
Heuristic search is a core area of artificial intelligence and the employment of an efficient search algorithm is critical to the performance of an intelligent system. This paper addresses a production scheduling problem with complex precedence constraints in an identical parallel machines environment. Although this particular problem can be found in several production and other scheduling applications; it is considered to be A(P-hard due to its high computational complexity. The solution approach we adopt is based on a comparison among several dispatching rules combined with a diagram analysis methodology. Computational results on large instances provide relatively high quality practical solutions in very short computational times, indicating the applicability of the methodology in real life-production scheduling applications. |
en |
heal.publisher |
SLOVAK ACADEMY SCIENCES INST INFORMATICS |
en |
heal.journalName |
Computing and Informatics |
en |
dc.identifier.isi |
ISI:000234751700005 |
en |
dc.identifier.volume |
24 |
en |
dc.identifier.issue |
3 |
en |
dc.identifier.spage |
297 |
en |
dc.identifier.epage |
319 |
en |