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Article: Centralized versus decentralized manpower resource planning. The case of a Hong Kong company

TitleCentralized versus decentralized manpower resource planning. The case of a Hong Kong company
Authors
Issue Date1991
PublisherPalgrave Macmillan Ltd. The Journal's web site is located at http://www.palgrave-journals.com/jors/index.html
Citation
Journal Of The Operational Research Society, 1991, v. 42 n. 7, p. 525-536 How to Cite?
AbstractThis paper considers the problem of planning effective servicing support of a Hong Kong-based company by providing sufficient technicians to repair/service copier machines at numerous customer sites throughout the city. As quality of service depends on its operational responsiveness, there is an urgent need to address the company's present and projected staffing. Mathematical modelling techniques based on the well-tested square-root response distance formulation of Kolesar et al. and a corresponding affine time-distance relationship are successfully applied to quantify the performance measure with respect to manpower resources. The numerical results enable model validation against collected data as well as analyses of different modes of centralized/decentralized, prioritized/non-prioritized service operations. Parametric study of performance versus resource offers further insights and directions towards the goal of optimal manpower planning. The approach is found to be very useful in an actual decision support setting, owing to its ease of adaptation, generalization and robust numerical modelling.
Persistent Identifierhttp://hdl.handle.net/10722/156057
ISSN
2015 Impact Factor: 1.225
2015 SCImago Journal Rankings: 1.026

 

DC FieldValueLanguage
dc.contributor.authorChu, Sydney CKen_US
dc.contributor.authorLin, Carrie KYen_US
dc.contributor.authorNg, Kevin YKen_US
dc.date.accessioned2012-08-08T08:40:13Z-
dc.date.available2012-08-08T08:40:13Z-
dc.date.issued1991en_US
dc.identifier.citationJournal Of The Operational Research Society, 1991, v. 42 n. 7, p. 525-536en_US
dc.identifier.issn0160-5682en_US
dc.identifier.urihttp://hdl.handle.net/10722/156057-
dc.description.abstractThis paper considers the problem of planning effective servicing support of a Hong Kong-based company by providing sufficient technicians to repair/service copier machines at numerous customer sites throughout the city. As quality of service depends on its operational responsiveness, there is an urgent need to address the company's present and projected staffing. Mathematical modelling techniques based on the well-tested square-root response distance formulation of Kolesar et al. and a corresponding affine time-distance relationship are successfully applied to quantify the performance measure with respect to manpower resources. The numerical results enable model validation against collected data as well as analyses of different modes of centralized/decentralized, prioritized/non-prioritized service operations. Parametric study of performance versus resource offers further insights and directions towards the goal of optimal manpower planning. The approach is found to be very useful in an actual decision support setting, owing to its ease of adaptation, generalization and robust numerical modelling.en_US
dc.languageengen_US
dc.publisherPalgrave Macmillan Ltd. The Journal's web site is located at http://www.palgrave-journals.com/jors/index.htmlen_US
dc.relation.ispartofJournal of the Operational Research Societyen_US
dc.rightsJournal the of Operational Research Society. Copyright © Palgrave Macmillan Ltd.-
dc.titleCentralized versus decentralized manpower resource planning. The case of a Hong Kong companyen_US
dc.typeArticleen_US
dc.identifier.emailChu, Sydney CK:schu@hkucc.hku.hken_US
dc.identifier.authorityChu, Sydney CK=rp00685en_US
dc.description.naturelink_to_subscribed_fulltexten_US
dc.identifier.doi10.2307/2583636-
dc.identifier.scopuseid_2-s2.0-0026187070en_US
dc.identifier.hkuros35751-
dc.identifier.volume42en_US
dc.identifier.issue7en_US
dc.identifier.spage525en_US
dc.identifier.epage536en_US
dc.publisher.placeUnited Kingdomen_US
dc.identifier.scopusauthoridChu, Sydney CK=7403619384en_US
dc.identifier.scopusauthoridLin, Carrie KY=8067230800en_US
dc.identifier.scopusauthoridNg, Kevin YK=7403178546en_US

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