Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/10090
PIRA download icon_1.1View/Download Full Text
DC FieldValueLanguage
dc.contributorDepartment of Management and Marketing-
dc.contributorDepartment of Industrial and Systems Engineering-
dc.creatorCho, V-
dc.creatorWu, GPK-
dc.creatorIp, W-
dc.date.accessioned2015-08-28T04:31:28Z-
dc.date.available2015-08-28T04:31:28Z-
dc.identifier.urihttp://hdl.handle.net/10397/10090-
dc.language.isoenen_US
dc.publisherSAGE Publicationsen_US
dc.rightsThis article is distributed under the terms of the Creative Commons Attribution 3.0 License (http://www.creativecommons.org/licenses/by/3.0/) which permits any use, reproduction and distribution of the work without further permission provided the original work is attributed as specified on the SAGE and Open Access page (http://www.uk.sagepub.com/aboutus/openaccess.htm).en_US
dc.rightsThe following publication Cho, V., Wu, G. P. K., & Ip, W. H. (2009). An aircraft service staff rostering using a hybrid GRASP algorithm. International Journal of Engineering Business Management, 1(2), 13-18 is available at https://doi.org/10.5772/6778en_US
dc.subjectHybrid approachen_US
dc.subjectGRASPen_US
dc.subjectRosteringen_US
dc.subjectAircraften_US
dc.titleAn aircraft service staff rostering using a hybrid grasp algorithmen_US
dc.typeJournal/Magazine Articleen_US
dc.identifier.spage13-
dc.identifier.epage18-
dc.identifier.volume1-
dc.identifier.issue2-
dc.identifier.doi10.5772/6778-
dcterms.abstractThe aircraft ground service company is responsible for carrying out the regular tasks to aircraft maintenace between their arrival at and departure from the airport. This paper presents the application of a hybrid approach based upon greedy randomized adaptive search procedure (GRASP) for rostering technical staff such that they are assigned predefined shift patterns. The rostering of staff is posed as an optimization problem with an aim of minimizing the violations of hard and soft constraints. The proposed algorithm iteratively constructs a set of solutions by GRASP. Furthermore, with multi-agent techniques, we efficiently identify an optimal roster with minimal constraint violations and fair to employees. Experimental results are included to demonstrate the effectiveness of the proposed algorithm.-
dcterms.accessRightsopen accessen_US
dcterms.bibliographicCitationInternational journal of engineering business management, 2009, v. 1, no. 2, p. 13-18-
dcterms.isPartOfInternational journal of engineering business management-
dcterms.issued2009-
dc.identifier.eissn1847-9790-
dc.identifier.rosgroupidr48828-
dc.description.ros2009-2010 > Academic research: refereed > Publication in refereed journal-
dc.description.oaVersion of Recorden_US
dc.identifier.FolderNumberOA_IR/PIRAen_US
dc.description.pubStatusPublisheden_US
Appears in Collections:Journal/Magazine Article
Files in This Item:
File Description SizeFormat 
Cho_Aircraft_Service_Staff.pdf719.08 kBAdobe PDFView/Open
Open Access Information
Status open access
File Version Version of Record
Access
View full-text via PolyU eLinks SFX Query
Show simple item record

Page views

101
Last Week
1
Last month
Citations as of Mar 24, 2024

Downloads

35
Citations as of Mar 24, 2024

SCOPUSTM   
Citations

1
Last Week
0
Last month
Citations as of Mar 29, 2024

Google ScholarTM

Check

Altmetric


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