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A hierarchical decomposition approach to retail shelf space management and assortment decisions / J. Irion in Journal of the operational research society (JORS), Vol. 62 N° 10 (Octobre 2011) 

Public ISBD [article]  in Journal of the operational research society (JORS) > Vol. 62 N° 10 (Octobre 2011) . - pp. 1861–1870 Titre : A hierarchical decomposition approach to retail shelf space management and assortment decisions Type de document : texte imprimé Auteurs : J. Irion, Auteur ; J-C. Lu, Auteur ; F. A. Al-Khayyal, Auteur Année de publication : 2011 Article en page(s) : pp. 1861–1870 Note générale : Recherche opérationnelle Langues : Anglais (eng) Mots-clés : Shelf  management  Assortment  Allocation  Hierarchical  decomposition  technique Index. décimale : 001.424 Résumé : Shelf management is a crucial task in retailing. Because of the large number of products found in most retail stores (sometimes more than 60 000), current shelf space management models can only solve sub-problems of the overall store optimization problem, since the size of the complete optimization problem would be prohibitively large. Consequently, an optimal allocation of store shelf space to products has not yet been achieved. We show that a hierarchical decomposition technique, consisting of two interwoven models, is suitable to overcome this limitation and, thus, is capable of finding accurate solutions to very large and complex shelf space management problems. We further conclude that other important variables (such as product-price) can be included into the methodology and their optimal values can be determined using the same solution technique. Our methodology is illustrated on a real-life application where we predict a 22.33% increase in store profits if our model's solution is implemented. DEWEY : 001.424 ISSN : 0160-5682 En ligne : http://www.palgrave-journals.com/jors/journal/v62/n10/abs/jors2010147a.html [article] A hierarchical decomposition approach to retail shelf space management and assortment decisions [texte imprimé] / J. Irion, Auteur ; J-C. Lu, Auteur ; F. A. Al-Khayyal, Auteur . - 2011 . - pp. 1861–1870. Recherche opérationnelle Langues : Anglais (eng) in Journal of the operational research society (JORS) > Vol. 62 N° 10 (Octobre 2011) . - pp. 1861–1870 Mots-clés : Shelf  management  Assortment  Allocation  Hierarchical  decomposition  technique Index. décimale : 001.424 Résumé : Shelf management is a crucial task in retailing. Because of the large number of products found in most retail stores (sometimes more than 60 000), current shelf space management models can only solve sub-problems of the overall store optimization problem, since the size of the complete optimization problem would be prohibitively large. Consequently, an optimal allocation of store shelf space to products has not yet been achieved. We show that a hierarchical decomposition technique, consisting of two interwoven models, is suitable to overcome this limitation and, thus, is capable of finding accurate solutions to very large and complex shelf space management problems. We further conclude that other important variables (such as product-price) can be included into the methodology and their optimal values can be determined using the same solution technique. Our methodology is illustrated on a real-life application where we predict a 22.33% increase in store profits if our model's solution is implemented. DEWEY : 001.424 ISSN : 0160-5682 En ligne : http://www.palgrave-journals.com/jors/journal/v62/n10/abs/jors2010147a.html