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Scheduling the Italian National Volleyball Tournament

Guido Cocchi (), Alessandro Galligari (), Federica Picca Nicolino (), Veronica Piccialli (), Fabio Schoen () and Marco Sciandrone ()
Additional contact information
Guido Cocchi: DINFO, Università degli Studi di Firenze, 50139 Florence FI, Italy
Alessandro Galligari: DINFO, Università degli Studi di Firenze, 50139 Florence FI, Italy
Federica Picca Nicolino: DINFO, Università degli Studi di Firenze, 50139 Florence FI, Italy
Veronica Piccialli: DICII, Università di Roma Tor Vergata, 00173 Rome RM, Italy
Fabio Schoen: DINFO, Università degli Studi di Firenze, 50139 Florence FI, Italy
Marco Sciandrone: DINFO, Università degli Studi di Firenze, 50139 Florence FI, Italy

Interfaces, 2018, vol. 48, issue 3, 271-284

Abstract: In this paper, we present our approach to sports scheduling, a process that led the Italian Volleyball League to adopt our calendar for the 2016–2017 and subsequent seasons. Sports scheduling is a hard combinatorial optimization problem whose solution requires modeling many different aspects of sports, some of which are unique to each sport or nation. The capability of producing a high-quality schedule is important for both balancing undesirable matches among teams and ensuring adequate coverage by television and other media. Through strong interaction with the Italian Volleyball League, we modeled and solved the problem to optimality using standard mathematical programming solvers. We also tested our solution using previous seasons’ tournaments to prove the capability of our model.

Keywords: sports scheduling; round-robin tournament; mixed-integer programming; volleyball (search for similar items in EconPapers)
Date: 2018
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (7)

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https://doi.org/10.1287/inte.2017.0932 (application/pdf)

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