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Decision Support System Applications for Scheduling in Professional Team Sport. The Team's Perspective

Bibliographic Data

ID5285771
AuthorsXavier Schelling (Victoria University, corresponding author), José Fernandez, Javier Fernández (0000-0003-4427-3935, Australian Catholic University), Patrick Ward (0000-0003-1925-9744, University of Technology Sydney), Sam Robertson (0000-0002-8330-0011, Victoria University)
Year2021
Volume3
Pages678489-678489
Publication date2021-06-04
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueFrontiers in Sports and Active Living (JOURNAL)
Journal identifiersISSN: 2624-9367 • E-ISSN: 2624-9367
PublisherFrontiers Media SA (PUBLISHER • CH)
DOI10.3389/fspor.2021.678489
PMID34151262
OpenAlexW3167018103
LanguageEN
Citations received1
References cited39

Background: Periodization implies the systematic planning of training and competition with the goal of reaching the best possible performance in the most important competition. In team sports, this consists of finding a flight-and-practice schedule that maximizes the opportunities to perform the periodized contents (e.g., trips, practices, games, and days off). This process is conducted whilst considering known constraints (e.g., competitive schedule, roster availability, weather, especial events, holidays, or emotional effect of days away). The way a scheduling decision support system (DSS) leads users to make a decision should allow for flexibility, whilst minimizing users' confusion and facilitating the understanding of the recommendation given by the scheduling decision support system. Traditional approaches to solving scheduling problems use either simulation models, analytical models, heuristic approaches or a combination of these methods. When it comes to evaluate how the scheduling DSS is performing, three overarching aspects need to be reviewed: context satisfaction, process efficiency, and output quality. Appropriate training periodization and scheduling of trips and training sessions are critical for teams to optimize training and recovery processes in order to maximize health and performance. This article presents a methodological framework for designing decision-support systems for scheduling in professional team sports

Decision support system · Dynamic priority scheduling · Operations management · Operations research · Schedule · Scheduling (production processes · TRIPS architecture · Computer Science · Educational Games and Gamification · Engineering · Scheduling and Timetabling Solutions · Sports Analytics and Performance · Artificial Intelligence

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Unique citing works1
Citations per year0,5
Citation span2024 - 2024 (1)
Citation velocityrecent
Highly citedNo
Citation typesNeutral: 1

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