Please use this identifier to cite or link to this item:
http://hdl.handle.net/10397/10090
DC Field | Value | Language |
---|---|---|
dc.contributor | Department of Management and Marketing | - |
dc.contributor | Department of Industrial and Systems Engineering | - |
dc.creator | Cho, V | - |
dc.creator | Wu, GPK | - |
dc.creator | Ip, W | - |
dc.date.accessioned | 2015-08-28T04:31:28Z | - |
dc.date.available | 2015-08-28T04:31:28Z | - |
dc.identifier.uri | http://hdl.handle.net/10397/10090 | - |
dc.language.iso | en | en_US |
dc.publisher | SAGE Publications | en_US |
dc.rights | This 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.rights | The 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/10.5772/6778 | en_US |
dc.subject | Hybrid approach | en_US |
dc.subject | GRASP | en_US |
dc.subject | Rostering | en_US |
dc.subject | Aircraft | en_US |
dc.title | An aircraft service staff rostering using a hybrid grasp algorithm | en_US |
dc.type | Journal/Magazine Article | en_US |
dc.identifier.spage | 13 | - |
dc.identifier.epage | 18 | - |
dc.identifier.volume | 1 | - |
dc.identifier.issue | 2 | - |
dc.identifier.doi | 10.5772/6778 | - |
dcterms.abstract | The 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.accessRights | open access | en_US |
dcterms.bibliographicCitation | International journal of engineering business management, 2009, v. 1, no. 2, p. 13-18 | - |
dcterms.isPartOf | International journal of engineering business management | - |
dcterms.issued | 2009 | - |
dc.identifier.eissn | 1847-9790 | - |
dc.identifier.rosgroupid | r48828 | - |
dc.description.ros | 2009-2010 > Academic research: refereed > Publication in refereed journal | - |
dc.description.oa | Version of Record | en_US |
dc.identifier.FolderNumber | OA_IR/PIRA | en_US |
dc.description.pubStatus | Published | en_US |
Appears in Collections: | Journal/Magazine Article |
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File | Description | Size | Format | |
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Cho_Aircraft_Service_Staff.pdf | 719.08 kB | Adobe PDF | View/Open |
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