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- Publisher Website: 10.1109/ICIEEM.2009.5344195
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Conference Paper: An efficient approach for shelf space planning and display area allocation in convenience stores
Title | An efficient approach for shelf space planning and display area allocation in convenience stores |
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Authors | |
Keywords | Display location elasticity Facing space elasticity Optimisation Shelf space management |
Issue Date | 2009 |
Publisher | IEEE. |
Citation | Ie And Em 2009 - Proceedings 2009 Ieee 16Th International Conference On Industrial Engineering And Engineering Management, 2009, p. 874-878 How to Cite? |
Abstract | This paper addresses the problems of shelf space planning and display area allocation in convenience stores. A genetic algorithm is developed to obtain optimum solutions for such problems. A store trial is performed to collect data for analysis and the effects of facing space and display location on product sales are studied. The proposed approach provides a practical and effective means of managing shelf spaces in retail stores. ©2009 IEEE. |
Description | proceedings of the IEEE International Engineering Management Conference, 2009, p. 874-878 |
Persistent Identifier | http://hdl.handle.net/10722/99862 |
ISBN | |
ISI Accession Number ID | |
References |
DC Field | Value | Language |
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dc.contributor.author | Chu, LK | en_HK |
dc.date.accessioned | 2010-09-25T18:47:17Z | - |
dc.date.available | 2010-09-25T18:47:17Z | - |
dc.date.issued | 2009 | en_HK |
dc.identifier.citation | Ie And Em 2009 - Proceedings 2009 Ieee 16Th International Conference On Industrial Engineering And Engineering Management, 2009, p. 874-878 | en_HK |
dc.identifier.isbn | 978-1-4244-3672-9 | - |
dc.identifier.uri | http://hdl.handle.net/10722/99862 | - |
dc.description | proceedings of the IEEE International Engineering Management Conference, 2009, p. 874-878 | - |
dc.description.abstract | This paper addresses the problems of shelf space planning and display area allocation in convenience stores. A genetic algorithm is developed to obtain optimum solutions for such problems. A store trial is performed to collect data for analysis and the effects of facing space and display location on product sales are studied. The proposed approach provides a practical and effective means of managing shelf spaces in retail stores. ©2009 IEEE. | en_HK |
dc.language | eng | en_HK |
dc.publisher | IEEE. | en_HK |
dc.relation.ispartof | IE and EM 2009 - Proceedings 2009 IEEE 16th International Conference on Industrial Engineering and Engineering Management | en_HK |
dc.rights | ©2009 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE. | - |
dc.subject | Display location elasticity | en_HK |
dc.subject | Facing space elasticity | en_HK |
dc.subject | Optimisation | en_HK |
dc.subject | Shelf space management | en_HK |
dc.title | An efficient approach for shelf space planning and display area allocation in convenience stores | en_HK |
dc.type | Conference_Paper | en_HK |
dc.identifier.openurl | http://library.hku.hk:4550/resserv?sid=HKU:IR&issn=978-1-4244-3672-9&volume=&spage=874&epage=878&date=2009&atitle=An+efficient+approach+for+shelf+space+planning+and+display+area+allocation+in+convenience+stores | - |
dc.identifier.email | Chu, LK:lkchu@hkucc.hku.hk | en_HK |
dc.identifier.authority | Chu, LK=rp00113 | en_HK |
dc.description.nature | published_or_final_version | - |
dc.identifier.doi | 10.1109/ICIEEM.2009.5344195 | en_HK |
dc.identifier.scopus | eid_2-s2.0-77949468923 | en_HK |
dc.identifier.hkuros | 167893 | en_HK |
dc.relation.references | http://www.scopus.com/mlt/select.url?eid=2-s2.0-77949468923&selection=ref&src=s&origin=recordpage | en_HK |
dc.identifier.spage | 874 | en_HK |
dc.identifier.epage | 878 | en_HK |
dc.identifier.isi | WOS:000276840700186 | - |
dc.identifier.scopusauthorid | Chu, LK=7202233520 | en_HK |