Joint location and pricing within a user-optimized environment

In the design of service facilities, whenever the behaviour of customers is impacted by queueing or congestion, the resulting equilibrium cannot be ignored by a firm that strives to maximize revenue within a competitive environment. In the present work, we address the problem faced by a firm that ma...

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Autores principales:	Teodora Dan, Andrea Lodi, Patrice Marcotte
Formato:	article
Lenguaje:	EN
Publicado:	Elsevier 2020
Materias:	90C11 90C26 90C30 90C33 Applied mathematics. Quantitative methods T57-57.97 Electronic computers. Computer science QA75.5-76.95
Acceso en línea:	https://doaj.org/article/2fdae87787894afcaabb66b3be96c9c8
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spelling	oai:doaj.org-article:2fdae87787894afcaabb66b3be96c9c82021-12-02T05:00:33ZJoint location and pricing within a user-optimized environment2192-440610.1007/s13675-019-00120-whttps://doaj.org/article/2fdae87787894afcaabb66b3be96c9c82020-03-01T00:00:00Zhttp://www.sciencedirect.com/science/article/pii/S2192440621000071https://doaj.org/toc/2192-4406In the design of service facilities, whenever the behaviour of customers is impacted by queueing or congestion, the resulting equilibrium cannot be ignored by a firm that strives to maximize revenue within a competitive environment. In the present work, we address the problem faced by a firm that makes decisions with respect to location, service levels and prices and that takes explicitly into account user behaviour. This situation is modelled as a nonlinear mathematical program with equilibrium constraints that involves both discrete and continuous variables, and for which we propose an efficient algorithm based on an approximation that can be solved for its global optimum.Teodora DanAndrea LodiPatrice MarcotteElsevierarticle90C1190C2690C3090C33Applied mathematics. Quantitative methodsT57-57.97Electronic computers. Computer scienceQA75.5-76.95ENEURO Journal on Computational Optimization, Vol 8, Iss 1, Pp 61-84 (2020)
institution	DOAJ
collection	DOAJ
language	EN
topic	90C11 90C26 90C30 90C33 Applied mathematics. Quantitative methods T57-57.97 Electronic computers. Computer science QA75.5-76.95
spellingShingle	90C11 90C26 90C30 90C33 Applied mathematics. Quantitative methods T57-57.97 Electronic computers. Computer science QA75.5-76.95 Teodora Dan Andrea Lodi Patrice Marcotte Joint location and pricing within a user-optimized environment
description	In the design of service facilities, whenever the behaviour of customers is impacted by queueing or congestion, the resulting equilibrium cannot be ignored by a firm that strives to maximize revenue within a competitive environment. In the present work, we address the problem faced by a firm that makes decisions with respect to location, service levels and prices and that takes explicitly into account user behaviour. This situation is modelled as a nonlinear mathematical program with equilibrium constraints that involves both discrete and continuous variables, and for which we propose an efficient algorithm based on an approximation that can be solved for its global optimum.
format	article
author	Teodora Dan Andrea Lodi Patrice Marcotte
author_facet	Teodora Dan Andrea Lodi Patrice Marcotte
author_sort	Teodora Dan
title	Joint location and pricing within a user-optimized environment
title_short	Joint location and pricing within a user-optimized environment
title_full	Joint location and pricing within a user-optimized environment
title_fullStr	Joint location and pricing within a user-optimized environment
title_full_unstemmed	Joint location and pricing within a user-optimized environment
title_sort	joint location and pricing within a user-optimized environment
publisher	Elsevier
publishDate	2020
url	https://doaj.org/article/2fdae87787894afcaabb66b3be96c9c8
work_keys_str_mv	AT teodoradan jointlocationandpricingwithinauseroptimizedenvironment AT andrealodi jointlocationandpricingwithinauseroptimizedenvironment AT patricemarcotte jointlocationandpricingwithinauseroptimizedenvironment
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Joint location and pricing within a user-optimized environment

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