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Journal of Information and Optimization Sciences

(Since 1980)
Hybrid ·Peer-reviewed·ISSN (Online): 2169-0103·ISSN (Print): 0252-2667

WoS  JIF 2026 : 0.4 (Q4)

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Monthly Journal: Publishes theoretical and applied research on topics in information and optimization sciences.

Issues up to 2022 co-published with and available at:Taylor & Francis
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Journal of Information and Optimization Sciences
Open Access Research Article

Stochastic optimization model to simulate football games as logistics networks

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pp. 1–23Vol. 45Issue 1January 2024DOI: 10.47974/JIOS-1049XML
Received:
09 Jun 2021
Published Online:
05 Feb 2024
Article type:
Research Article
Language:
EN
Article no.:
JIOS-1049
Pages:
1–23

Abstract

Football industry grows and improves day by day. All successes in universal tournaments results in huge revenue. Since the individual performances of the players determine the performance of the team, players` performances are measured by commercial companies with a higher reliability. Significant football models have been produced from several produced data. The proposed model, in this study, develops an attack routing model based on deviations in players` performances because the performances of players fluctuate from game to game. These fluctuations are handled by incorporating stochasticity. Thus, the developed mathematical model is stochastic and compares attack routes according to variations in performances of players. As a case study, one of the best team, which ranked in top three in its league for last two years, is analyzed and results show the adequacy of the model very clearly.

Keywords

Transshipment problemOptimizationSpatio-temporal dataFootballSoccerStochastic modellingChance constraint

Subject Classifications

Primary 65K05Secondary 91B70

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