DSpace
 

EPrints@IIT Delhi >
Faculty Research Publicatons  >
Mechanical Engineering >

Please use this identifier to cite or link to this item: http://eprint.iitd.ac.in/handle/2074/1416

Full metadata record

DC FieldValueLanguage
dc.contributor.authorChan, Felix T S-
dc.contributor.authorChung, S H-
dc.contributor.authorWadhwa, Subhash-
dc.date.accessioned2006-02-23T04:41:06Z-
dc.date.available2006-02-23T04:41:06Z-
dc.date.issued2005-
dc.identifier.citationOmega, 33(4), 345-355en
dc.identifier.urihttp://eprint.iitd.ac.in/dspace/handle/2074/1416-
dc.description.abstractThis paper develops a hybrid genetic algorithm for production and distribution problems in multi-factory supply chain models. Supply chain problems usually may involve multi-criterion decision-making, for example operating cost, service level, resources utilization, etc. These criteria are numerous and interrelated. To organize them, analytic hierarchy process (AHP) will be utilized. It provides a systematic approach for decision makers to assign weightings and relate them. Meanwhile, genetic algorithms (GAs) will be utilized to determine jobs allocation into suitable production plants. Genetic operators adopted to improve the genetic search algorithm will be introduced and discussed. Finally, a hypothetical production–distribution problem will be solved by the proposed algorithm. The optimization results show that it is reliable and robust.en
dc.format.extent474422 bytes-
dc.format.mimetypeapplication/pdf-
dc.language.isoenen
dc.subjectGenetic algorithmsen
dc.subjectAnalytic hierarchy processen
dc.subjectMulti-factoryen
dc.subjectMulti-criterionen
dc.titleA hybrid genetic algorithm for production and distributionen
dc.typeArticleen
Appears in Collections:Mechanical Engineering

Files in This Item:

File Description SizeFormat
chandrasekareff2005.pdf463.3 kBAdobe PDFView/Open
View Statistics

Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.

 

Valid XHTML 1.0! DSpace Software Copyright © 2002-2010  Duraspace - Feedback