File Download

There are no files associated with this item.

  Links for fulltext
     (May Require Subscription)
Supplementary

Conference Paper: An integrated platform for distributed knowledge-based production scheduling

TitleAn integrated platform for distributed knowledge-based production scheduling
Authors
Choi, SHKang, SG
Issue Date2005
Citation
Proceedings - Sixth International Conference On Computational Intelligence And Multimedia Applications, Iccima 2005, 2005, p. 111-117 How to Cite?
DOI: http://dx.doi.org/10.1109/ICCIMA.2005.10
AbstractProduction scheduling is a complex decision-making process that is becoming more important than ever in competitive markets today. However, effective production scheduling remains a very challenging task, and the current production scheduling systems tend to be inflexible and expensive. Although domain knowledge and information are very important to scheduling decisions, scheduling systems usually cannot effectively make use of them. In this paper, A Multi-Scenario Analysis (MSA) model is proposed for distributed collaborative decision-making, based on which a Multi-Scenario Analysis-based Production Scheduling Platform (MSAPSP) is developed. The platform comprises a toolkit (MSADev) and an engine (MSARE) powered by a script language (EXASL). It provides a flexible and cost-effective tool to exploit domain knowledge and information for scheduling and rescheduling decisions. © 2005 IEEE.
Persistent Identifierhttp://hdl.handle.net/10722/99971
References
References in Scopus

 

DC FieldValueLanguage
dc.contributor.authorChoi, SHen_HK
dc.contributor.authorKang, SGen_HK
dc.date.accessioned2010-09-25T18:51:42Z-
dc.date.available2010-09-25T18:51:42Z-
dc.date.issued2005en_HK
dc.identifier.citationProceedings - Sixth International Conference On Computational Intelligence And Multimedia Applications, Iccima 2005, 2005, p. 111-117en_HK
dc.identifier.urihttp://hdl.handle.net/10722/99971-
dc.description.abstractProduction scheduling is a complex decision-making process that is becoming more important than ever in competitive markets today. However, effective production scheduling remains a very challenging task, and the current production scheduling systems tend to be inflexible and expensive. Although domain knowledge and information are very important to scheduling decisions, scheduling systems usually cannot effectively make use of them. In this paper, A Multi-Scenario Analysis (MSA) model is proposed for distributed collaborative decision-making, based on which a Multi-Scenario Analysis-based Production Scheduling Platform (MSAPSP) is developed. The platform comprises a toolkit (MSADev) and an engine (MSARE) powered by a script language (EXASL). It provides a flexible and cost-effective tool to exploit domain knowledge and information for scheduling and rescheduling decisions. © 2005 IEEE.en_HK
dc.languageengen_HK
dc.relation.ispartofProceedings - Sixth International Conference on Computational Intelligence and Multimedia Applications, ICCIMA 2005en_HK
dc.titleAn integrated platform for distributed knowledge-based production schedulingen_HK
dc.typeConference_Paperen_HK
dc.identifier.emailChoi, SH:shchoi@hkucc.hku.hken_HK
dc.identifier.authorityChoi, SH=rp00109en_HK
dc.description.naturelink_to_subscribed_fulltext-
dc.identifier.doi10.1109/ICCIMA.2005.10en_HK
dc.identifier.scopuseid_2-s2.0-33749417684en_HK
dc.identifier.hkuros130120en_HK
dc.relation.referenceshttp://www.scopus.com/mlt/select.url?eid=2-s2.0-33749417684&selection=ref&src=s&origin=recordpageen_HK
dc.identifier.spage111en_HK
dc.identifier.epage117en_HK
dc.identifier.scopusauthoridChoi, SH=7408119615en_HK
dc.identifier.scopusauthoridKang, SG=7405687065en_HK

Export via OAI-PMH Interface in XML Formats

OR

Export to Other Non-XML Formats