Please use this identifier to cite or link to this item: http://hdl.handle.net/10174/22308

Title: OVERCOMING INFEASIBILITY IN BCC MODELS UNDER DELETED DOMAIN, WITH AN APPLICATION.
Authors: Santos, Jorge
Cavique, Luis
Alberca, Pilar
Editors: Saavedra, Javier
Fernández, Salvador
Keywords: Data Envelopment Analysis
Efficiency Analysis
Variable Returns to Scale
Linear Programming
Issue Date: Oct-2017
Publisher: Departamento de Matemáticas da Universidade da Coruña, Sociedade Galega para a Promoción da Estatística e a Investigación de Operacións (SGAPEIO)
Citation: Pilar Alberca, Luís Cavique, Jorge Santos. OVERCOMING INFEASIBILITY IN BCC MODELS UNDER DELETED DOMAIN, WITH AN APPLICATION. - In: ACTAS XIII Congreso Galego de Estatística e Investigación de Operacións Ferrol, 26, 27 e 28 de outubro de 2017, pp. 9-13
Abstract: It is a well-known fact that the Banker Charnes and Cooper models under deleted domain can originate unfeasible linear programs for extreme observations. In this paper, we introduce a way to overcome this issue introducing some extra constraints in the multiplier model. Finally, we apply these models to data of the Spanish hotel industry.
URI: http://sgapeio2017.udc.es/docs/xiiisgapeio_libro_actas.pdf
http://hdl.handle.net/10174/22308
ISBN: 978-84-697-6999-7
Type: article
Appears in Collections:MAT - Artigos em Livros de Actas/Proceedings

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