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A COMBINED MATHEMATICAL MODELING AND ANALYTIC HIERARCHY PROCESS APPROACH FOR SPORTS SCHEDULING PROBLEMS

Yıl 2019, Cilt: 30 Sayı: 2, 111 - 122, 31.10.2019

Öz

Malaysian football is
witnessing a decrease in the number of supporters at their stadiums. Therefore,
scheduling games in timeslots that maximize attendance at the stadiums is
increasingly becoming a priority for the league administrators. We hypothesize
that spectators would prefer to watch matches at stadiums if they are more
important. That is, there is something to play for. Therefore, we propose to
define a level of importance for each fixture. The Analytic Hierarchy Process
(AHP), a theory of relative measurement with absolute scales, is utilised to
obtain these importance levels.



We also develop an integer programming model to assign
fixtures to the timeslots in a way to maximize
the number of supporters
that attend matches. The outcome of the first process is used as input to this
optimization model. We apply the methodology to a real case d
ata from the Super League Season in
Malaysia and we believed that we have produced a superior schedule which will
maximize gate receipts.

Kaynakça

  • Abdul-Hamid, N. & Kendall, G. (2008). Maximizing Stadium Attendance: A Case Study of Malaysian Football, In: Proceedings of the 7th International Conference on the Practice and Theory of Automated Timetabling PATAT, (E. Burke. and M. Gendreau., Eds.), 1-4, Montreal, Canada, http://patatconference.org/patat2008/proceedings/AbdulHamid-WC3d.pdf.
  • Amos, D., Chan, A.P., Ameyaw, E.E. (2019), Review of application of Analytic Hierarchy Process (AHP) in construction, International Journal of Construction, 19, 5, 436-452, doi: 10.1080/15623599.2018.1452098.
  • Bartsch, T., Drexl, A., & Kröger, S. (2006). Scheduling the professional soccer leagues of Austria and Germany, Computers and Operations Research, 33, 1907-1937, doi:10.1016/j.cor.2004.09.037.
  • Briskorn, D., Drexl, A. (2009). IP models for round robin tournaments, Computers & Operations Research, 36, 837-852, doi: 10.1016/j.cor.2007.11.002.
  • Buraimo, B., Forrest, D., & Simmons, R. (2009). Insights for clubs from modeling match attendance in football, Journal of Operational Research Society, 60(2), 147-155, doi: 10.1057/palgrave.jors.2602549
  • Duran, G., Guajardo, M., Miranda, J., Saure, D., Souyris, S., Weintraub, A.,Wolf, R. (2007). Scheduling the Chilean soccer league by Integer Programming, Interfaces, 37(6): 539-552, doi: 10.1287/inte.1080.0381.
  • Duran, G., Duran, S., Marenco, J., Mascialino, F., Pablo, A.R., (2019). Scheduling Argentina’s professional basketball leagues: A variation on the Travelling Tournament Problem, European Journal of Operational Research, 275(3), 1126-1138, doi: 10.1016/j.ejor.2018.12.018
  • Gunnec, D., Demir, E. (2019). Fair fixture: Minimizing carry-over effects in football leagues, Journal of Industrial and Management Optimization, (15)4, 1565-1577, doi: 10.3934/jimo.2018110.
  • Forrest, D. & Simmons, R. (2000). Forecasting sport: the behaviour and performance of football tipsters. International Journal of Forecasting, 16(3): 317-33, doi:10.1016/S0169-2070(00)00050-9.
  • Forrest, D., Goddard, J., Simmons, R. (2005). Odds-setters as forecasters: The case of English football, International Journal of Forecasting, 21(3): 551-564, doi: 10.1016/j.ijforecast.2005.03.003.
  • Gholamian, M. R., S. Ghomi, Ghazanfari, M. (2007). Farsjum, A fuzzy system for ranking sparse judgment matrices: A case study in soccer tournaments, International Journal of Uncertainty Fuzziness and Knowledge-Based Systems 15(1): 115-129, doi: 10.1142/S0218488507004406.
  • Kabassi, K. (2018). Analytic Hierarchy Process for web site evaluation, Intelligent Decision Technologies, 12(2), 137-148, doi: 10.3233/IDT-170316.
  • Kendall G., (2008). Scheduling English Football Fixtures Over Holiday Periods. Journal of the Operational Research Society, 59(6), 743-755, doi: 10.1057/palgrave.jors.2602382.
  • Kendall, G., Knust, S., Ribeiro, C. C., Urrutia, S. (2010). Scheduling in sports: An annotated bibliography, Computers & Operations Research 37(1): 1-19, doi: 10.1016/j.cor.2009.05.013.
  • Lee J.H., Lee, Y.H. & Lee Y.H. (2006). Mathematical Modeling and Tabu Search Heuristic for the Traveling Tournament Problem. In: M. Gavrilova et al. (Eds) ICCSA 2006, LNCS 3982, Berlin Heidelberg: Springer-Verlag, 875-884. http://apps.webofknowledge.com/full_record.do?
  • product=WOS&search_mode=GeneralSearch&qid=36&SID=D2MOeW8H46dSjHQVOdX&page=1&doc=1Partovi, F. Y., & Corredoira, R. A. (2002). Quality function deployment for the good of soccer, European Journal of Operational Research, 137(3), 642-656, doi: 10.1016/S0377-2217(01)00072-8.
  • Saaty T.L.(1980). Multicriteria Decision Making: The Analytic Hierarchy Process. McGraw-Hill, New York. ISBN: 978-0962031724.
  • Scarf P., Shi X., (2008). The importance of a match in a tournament, Computers and Operations Research, 35( 7): 2406-2418, doi: 10.1016/j.cor.2006.11.005.
  • Vaidya, O. S. &Kumar, S. (2006). Analytic hierarchy process: An overview of applications, European Journal of Operational Research, 169(1): 1-29, doi: 10.1016/j.ejor.2004.04.028.
  • Vecer, J., Ichiba, T., & Laudanovic, M., (2007). On Probabilistic Excitement of Sports Games, Journal of Quantitative Analysis in Sports: 3(3), 6-6,1-21, doi: 10.2202/1559-0410.1066.
  • Wright, M. B. (2006). Scheduling fixtures for Basketball New Zealand, Computers & Operations Research, 33(7): 1875-1893, doi: 10.1016/j.cor.2004.09.024.
  • Wright, M. B. (2007). Case study: problem formulation and solution for a real-world sports scheduling problem, Journal of the Operational Research Society 58: 439-445, doi: 10.1057/palgrave.jors.2602175.
  • Turner, S. J. (2010). Website statistics 2.0: Using Google Analytics to measure library website effectiveness. Technical Services Quarterly, 27, 261-278. doi: http://dx.doi.org/10.1080/07317131003765910.

A COMBINED MATHEMATICAL MODELING AND ANALYTIC HIERARCHY PROCESS APPROACH FOR SPORTS SCHEDULING PROBLEMS

Yıl 2019, Cilt: 30 Sayı: 2, 111 - 122, 31.10.2019

Öz

Malaysian football is witnessing a decrease in the number of supporters at their stadiums. Therefore, scheduling games in timeslots that maximize attendance at the stadiums is increasingly becoming a priority for the league administrators. We hypothesize that spectators would prefer to watch matches at stadiums if they are more important. That is, there is something to play for. Therefore, we propose to define a level of importance for each fixture. The Analytic Hierarchy Process (AHP), a theory of relative measurement with absolute scales, is utilised to obtain these importance levels.

We also develop an integer programming model to assign fixtures to the timeslots in a way to maximize the number of supporters that attend matches. The outcome of the first process is used as input to this optimization model. We apply the methodology to a real case data from the Super League Season in Malaysia and we believed that we have produced a superior schedule which will maximize gate receipts.

Kaynakça

  • Abdul-Hamid, N. & Kendall, G. (2008). Maximizing Stadium Attendance: A Case Study of Malaysian Football, In: Proceedings of the 7th International Conference on the Practice and Theory of Automated Timetabling PATAT, (E. Burke. and M. Gendreau., Eds.), 1-4, Montreal, Canada, http://patatconference.org/patat2008/proceedings/AbdulHamid-WC3d.pdf.
  • Amos, D., Chan, A.P., Ameyaw, E.E. (2019), Review of application of Analytic Hierarchy Process (AHP) in construction, International Journal of Construction, 19, 5, 436-452, doi: 10.1080/15623599.2018.1452098.
  • Bartsch, T., Drexl, A., & Kröger, S. (2006). Scheduling the professional soccer leagues of Austria and Germany, Computers and Operations Research, 33, 1907-1937, doi:10.1016/j.cor.2004.09.037.
  • Briskorn, D., Drexl, A. (2009). IP models for round robin tournaments, Computers & Operations Research, 36, 837-852, doi: 10.1016/j.cor.2007.11.002.
  • Buraimo, B., Forrest, D., & Simmons, R. (2009). Insights for clubs from modeling match attendance in football, Journal of Operational Research Society, 60(2), 147-155, doi: 10.1057/palgrave.jors.2602549
  • Duran, G., Guajardo, M., Miranda, J., Saure, D., Souyris, S., Weintraub, A.,Wolf, R. (2007). Scheduling the Chilean soccer league by Integer Programming, Interfaces, 37(6): 539-552, doi: 10.1287/inte.1080.0381.
  • Duran, G., Duran, S., Marenco, J., Mascialino, F., Pablo, A.R., (2019). Scheduling Argentina’s professional basketball leagues: A variation on the Travelling Tournament Problem, European Journal of Operational Research, 275(3), 1126-1138, doi: 10.1016/j.ejor.2018.12.018
  • Gunnec, D., Demir, E. (2019). Fair fixture: Minimizing carry-over effects in football leagues, Journal of Industrial and Management Optimization, (15)4, 1565-1577, doi: 10.3934/jimo.2018110.
  • Forrest, D. & Simmons, R. (2000). Forecasting sport: the behaviour and performance of football tipsters. International Journal of Forecasting, 16(3): 317-33, doi:10.1016/S0169-2070(00)00050-9.
  • Forrest, D., Goddard, J., Simmons, R. (2005). Odds-setters as forecasters: The case of English football, International Journal of Forecasting, 21(3): 551-564, doi: 10.1016/j.ijforecast.2005.03.003.
  • Gholamian, M. R., S. Ghomi, Ghazanfari, M. (2007). Farsjum, A fuzzy system for ranking sparse judgment matrices: A case study in soccer tournaments, International Journal of Uncertainty Fuzziness and Knowledge-Based Systems 15(1): 115-129, doi: 10.1142/S0218488507004406.
  • Kabassi, K. (2018). Analytic Hierarchy Process for web site evaluation, Intelligent Decision Technologies, 12(2), 137-148, doi: 10.3233/IDT-170316.
  • Kendall G., (2008). Scheduling English Football Fixtures Over Holiday Periods. Journal of the Operational Research Society, 59(6), 743-755, doi: 10.1057/palgrave.jors.2602382.
  • Kendall, G., Knust, S., Ribeiro, C. C., Urrutia, S. (2010). Scheduling in sports: An annotated bibliography, Computers & Operations Research 37(1): 1-19, doi: 10.1016/j.cor.2009.05.013.
  • Lee J.H., Lee, Y.H. & Lee Y.H. (2006). Mathematical Modeling and Tabu Search Heuristic for the Traveling Tournament Problem. In: M. Gavrilova et al. (Eds) ICCSA 2006, LNCS 3982, Berlin Heidelberg: Springer-Verlag, 875-884. http://apps.webofknowledge.com/full_record.do?
  • product=WOS&search_mode=GeneralSearch&qid=36&SID=D2MOeW8H46dSjHQVOdX&page=1&doc=1Partovi, F. Y., & Corredoira, R. A. (2002). Quality function deployment for the good of soccer, European Journal of Operational Research, 137(3), 642-656, doi: 10.1016/S0377-2217(01)00072-8.
  • Saaty T.L.(1980). Multicriteria Decision Making: The Analytic Hierarchy Process. McGraw-Hill, New York. ISBN: 978-0962031724.
  • Scarf P., Shi X., (2008). The importance of a match in a tournament, Computers and Operations Research, 35( 7): 2406-2418, doi: 10.1016/j.cor.2006.11.005.
  • Vaidya, O. S. &Kumar, S. (2006). Analytic hierarchy process: An overview of applications, European Journal of Operational Research, 169(1): 1-29, doi: 10.1016/j.ejor.2004.04.028.
  • Vecer, J., Ichiba, T., & Laudanovic, M., (2007). On Probabilistic Excitement of Sports Games, Journal of Quantitative Analysis in Sports: 3(3), 6-6,1-21, doi: 10.2202/1559-0410.1066.
  • Wright, M. B. (2006). Scheduling fixtures for Basketball New Zealand, Computers & Operations Research, 33(7): 1875-1893, doi: 10.1016/j.cor.2004.09.024.
  • Wright, M. B. (2007). Case study: problem formulation and solution for a real-world sports scheduling problem, Journal of the Operational Research Society 58: 439-445, doi: 10.1057/palgrave.jors.2602175.
  • Turner, S. J. (2010). Website statistics 2.0: Using Google Analytics to measure library website effectiveness. Technical Services Quarterly, 27, 261-278. doi: http://dx.doi.org/10.1080/07317131003765910.
Toplam 23 adet kaynakça vardır.

Ayrıntılar

Birincil Dil Türkçe
Bölüm Araştırma Makaleleri
Yazarlar

Mujgan Sagir 0000-0003-2781-658X

Nor Hayati Abdul Hamıd Bu kişi benim 0000-0003-2159-3848

Graham Kendall Bu kişi benim 0000-0003-2006-5103

Yayımlanma Tarihi 31 Ekim 2019
Kabul Tarihi 6 Ekim 2019
Yayımlandığı Sayı Yıl 2019 Cilt: 30 Sayı: 2

Kaynak Göster

APA Sagir, M., Hamıd, N. H. A., & Kendall, G. (2019). A COMBINED MATHEMATICAL MODELING AND ANALYTIC HIERARCHY PROCESS APPROACH FOR SPORTS SCHEDULING PROBLEMS. Endüstri Mühendisliği, 30(2), 111-122.

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