Optimal multi-period service capacity allocation and pricing allowing for uncertain competitive entry / H. Zhang in Journal of the operational research society (JORS), Vol. 61 N° 5 (Mai 2010)  

Public ISBD [article]  inJournal of the operational research society (JORS) > Vol. 61 N° 5 (Mai 2010) . - pp. 780–789 Titre : Optimal multi-period service capacity allocation and pricing allowing for uncertain competitive entry Type de document : texte imprimé Auteurs : H. Zhang, Auteur ; H. I. Mesak, Auteur Année de publication : 2010 Article en page(s) : pp. 780–789 Note générale : Recherche opérationnelle Langues : Anglais (eng) Mots-clés : Capacity allocation Nonlinear programming Pricing Service operations Simulation Index. décimale : 001.424 Résumé : A nonlinear programming model is formulated in this paper to determine the optimal scheme of capacity allocation and prices over a multi-period planning horizon for a service provider in the absence and presence of uncertain competitive entry. The model is solved for constant, decreasing, and increasing price sensitivities employing a combination of analytical and numerical methods. The study highlights the importance of advance selling of service prior to its eventual consumption in the spot period and investigates the impact of uncertain competitive entry on the optimal capacity allocation policy and its related profit if the entry is more or less likely or if the rival is more or less influential. The findings of the study reveal that the conclusions drawn from a two-period model are not necessarily generalizable to a model of a multi-period planning horizon. DEWEY : 001.424 ISSN : 0361-5682 En ligne : http://www.palgrave-journals.com/jors/journal/v61/n5/abs/jors200929a.html [article] Optimal multi-period service capacity allocation and pricing allowing for uncertain competitive entry [texte imprimé] / H. Zhang, Auteur ; H. I. Mesak, Auteur . - 2010 . - pp. 780–789. Recherche opérationnelle Langues : Anglais (eng) in Journal of the operational research society (JORS) > Vol. 61 N° 5 (Mai 2010) . - pp. 780–789 Mots-clés : Capacity allocation Nonlinear programming Pricing Service operations Simulation Index. décimale : 001.424 Résumé : A nonlinear programming model is formulated in this paper to determine the optimal scheme of capacity allocation and prices over a multi-period planning horizon for a service provider in the absence and presence of uncertain competitive entry. The model is solved for constant, decreasing, and increasing price sensitivities employing a combination of analytical and numerical methods. The study highlights the importance of advance selling of service prior to its eventual consumption in the spot period and investigates the impact of uncertain competitive entry on the optimal capacity allocation policy and its related profit if the entry is more or less likely or if the rival is more or less influential. The findings of the study reveal that the conclusions drawn from a two-period model are not necessarily generalizable to a model of a multi-period planning horizon. DEWEY : 001.424 ISSN : 0361-5682 En ligne : http://www.palgrave-journals.com/jors/journal/v61/n5/abs/jors200929a.html

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