Mathematical programming approach to applicant selection for a degree program based on affirmative action

In 2007, the Department of Industrial Engineering at the University of Chile allied with a major Chilean mining company to inaugurate a master's degree program in globalization management. The program's objective is to address the challenges Chile faces in its development of human and soci...

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Autores principales: Durán, G., Wolf-Yadlin, R.
Formato: JOUR
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Acceso en línea:http://hdl.handle.net/20.500.12110/paper_00922102_v41_n3_p278_Duran
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spelling todo:paper_00922102_v41_n3_p278_Duran2023-10-03T14:55:08Z Mathematical programming approach to applicant selection for a degree program based on affirmative action Durán, G. Wolf-Yadlin, R. Affirmative action Equity Integer programming Operations research Robust selection In 2007, the Department of Industrial Engineering at the University of Chile allied with a major Chilean mining company to inaugurate a master's degree program in globalization management. The program's objective is to address the challenges Chile faces in its development of human and social capital by training young professionals. This paper describes the use of mathematical programming models in the program's applicant selection procedure for the first three entering classes, subject to equity criteria on gender, regional origin, and socioeconomic background. The models generated robust solutions in minutes, an achievement practically impossible using manual methods. The application's success demonstrates how mathematical programming and operations research can contribute to social policy. © 2011 INFORMS. JOUR info:eu-repo/semantics/openAccess http://creativecommons.org/licenses/by/2.5/ar http://hdl.handle.net/20.500.12110/paper_00922102_v41_n3_p278_Duran
institution Universidad de Buenos Aires
institution_str I-28
repository_str R-134
collection Biblioteca Digital - Facultad de Ciencias Exactas y Naturales (UBA)
topic Affirmative action
Equity
Integer programming
Operations research
Robust selection
spellingShingle Affirmative action
Equity
Integer programming
Operations research
Robust selection
Durán, G.
Wolf-Yadlin, R.
Mathematical programming approach to applicant selection for a degree program based on affirmative action
topic_facet Affirmative action
Equity
Integer programming
Operations research
Robust selection
description In 2007, the Department of Industrial Engineering at the University of Chile allied with a major Chilean mining company to inaugurate a master's degree program in globalization management. The program's objective is to address the challenges Chile faces in its development of human and social capital by training young professionals. This paper describes the use of mathematical programming models in the program's applicant selection procedure for the first three entering classes, subject to equity criteria on gender, regional origin, and socioeconomic background. The models generated robust solutions in minutes, an achievement practically impossible using manual methods. The application's success demonstrates how mathematical programming and operations research can contribute to social policy. © 2011 INFORMS.
format JOUR
author Durán, G.
Wolf-Yadlin, R.
author_facet Durán, G.
Wolf-Yadlin, R.
author_sort Durán, G.
title Mathematical programming approach to applicant selection for a degree program based on affirmative action
title_short Mathematical programming approach to applicant selection for a degree program based on affirmative action
title_full Mathematical programming approach to applicant selection for a degree program based on affirmative action
title_fullStr Mathematical programming approach to applicant selection for a degree program based on affirmative action
title_full_unstemmed Mathematical programming approach to applicant selection for a degree program based on affirmative action
title_sort mathematical programming approach to applicant selection for a degree program based on affirmative action
url http://hdl.handle.net/20.500.12110/paper_00922102_v41_n3_p278_Duran
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