Scheduling the Main Professional Football League of Argentina

Guillermo Durán (), Mario Guajardo (), Facundo Gutiérrez (), Javier Marenco (), Denis Sauré () and Gonzalo Zamorano ()
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Guillermo Durán: Department of Mathematics and Calculus Institute, University of Buenos Aires, Ciudad Autónoma de Buenos Aires C1428EGA, Argentina; National Scientific and Technical Research Council, Ciudad Autónoma de Buenos Aires C1425FQB, Argentina; Department of Industrial Engineering, University of Chile, Santiago 8370456, Chile
Mario Guajardo: Department of Business and Management Science, NHH Norwegian School of Economics, N-5045 Bergen, Norway
Facundo Gutiérrez: Department of Mathematics and Calculus Institute, University of Buenos Aires, Ciudad Autónoma de Buenos Aires C1428EGA, Argentina; National Scientific and Technical Research Council, Ciudad Autónoma de Buenos Aires C1425FQB, Argentina
Javier Marenco: Sciences Institute, University of General Sarmiento, Los Polvorines 1613, Argentina
Denis Sauré: Department of Industrial Engineering, University of Chile, Santiago 8370456, Chile
Gonzalo Zamorano: Department of Industrial Engineering, University of Chile, Santiago 8370456, Chile

Interfaces, 2021, vol. 51, issue 5, 361-372

Abstract: In this paper, we describe our work in scheduling Argentina’s First Division professional football league, the Superliga . Following existing work in sports scheduling, we develop an integer programming model for the Superliga season schedule and then, solve it using a decomposition approach. Unlike previous work, this scheme is based on the creation and assignment of cluster patterns , which take advantage of the model’s geographically driven handling of sporting fairness. We also model the assignment of matches to specific dates and time slots while simultaneously considering various conditions relating to or imposed by game broadcasters, the government, and international tournament calendars. Our work was implemented to schedule the Superliga’s 2018–2019 and 2019–2020 seasons, achieving clear improvements on a number of criteria over the previous approach.

Keywords: combinatorial optimization; sports scheduling; integer programming; decomposition schemes (search for similar items in EconPapers)
Date: 2021
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Citations: View citations in EconPapers (2)

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Persistent link: https://EconPapers.repec.org/RePEc:inm:orinte:v:51:y:2021:i:5:p:361-372

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