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dc.contributor.authorLiou, James J. H.en_US
dc.contributor.authorTzeng, Gwo-Hshiungen_US
dc.date.accessioned2017-04-21T06:48:28Z-
dc.date.available2017-04-21T06:48:28Z-
dc.date.issued2009en_US
dc.identifier.isbn978-3-642-02297-5en_US
dc.identifier.issn1865-0929en_US
dc.identifier.urihttp://dx.doi.org/10.1007/978-3-642-02298-2_117en_US
dc.identifier.urihttp://hdl.handle.net/11536/136514-
dc.description.abstractHuman resource management (HRM) is an important issue for today\'s competitive airline marketing. In this paper, we discuss a multi-objective model designed from the De Novo perspective to help airlines optimize their maintenance manpower portfolio. The effectiveness of the model and solution algorithm is demonstrated in an empirical study of the optimization of the human resources needed for airline line maintenance. Both De Novo and traditional multiple objective programming (MOP) methods are analyzed. A comparison of the results with those of traditional MOP indicates that the proposed model and solution algorithm does provide better performance and an improved human resource portfolio.en_US
dc.language.isoen_USen_US
dc.subjectHuman Resource Management (HRM)en_US
dc.subjectDe Novo, Airline Maintenanceen_US
dc.subjectResource Allocationen_US
dc.subjectMultiple Objective Decision Making (MODM)en_US
dc.titleAirline Maintenance Manpower Optimization from the De Novo Perspectiveen_US
dc.typeProceedings Paperen_US
dc.identifier.doi10.1007/978-3-642-02298-2_117en_US
dc.identifier.journalCUTTING-EDGE RESEARCH TOPICS ON MULTIPLE CRITERIA DECISION MAKING, PROCEEDINGSen_US
dc.citation.volume35en_US
dc.citation.spage806en_US
dc.citation.epage+en_US
dc.contributor.department科技管理研究所zh_TW
dc.contributor.departmentInstitute of Management of Technologyen_US
dc.identifier.wosnumberWOS:000269751700117en_US
dc.citation.woscount1en_US
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