IDEAS home Printed from https://ideas.repec.org/a/sae/manlab/v51y2026i1p48-67.html

Strategic Route Optimization for IPL Teams: Boosting Economic Significance

Author

Listed:
  • Bireshwar Bhattacharjee
  • Bishweshwar Bhattacharjee
  • Dibyojyoti Bhattacharjee
  • Santanu Choudhury

Abstract

In recent years, professional sports leagues have evolved significantly, becoming major economic enterprises for lower-middle income countries through massive revenue generation, job creation and a boost to ancillary industries. Thus, optimizing an efficient travel route is crucial to minimizing the cost of travelling, travel time, travel fatigue, logistical costs and overall economic viability. Efficient route scheduling is a crucial aspect for effectively managing large-scale tournaments, professional events and logistics management. This research attempts to investigate the effectiveness of dynamic programming in scheduling a sports tournament. The usefulness of dynamic programming is demonstrated in the context of the Indian Premier League (IPL), a popular cricket league in India. The findings of this research revealed that travel time in IPL 2023 was reduced by approximately 32% to 47%, while the total travel cost was reduced by 24% to 55% using dynamic programming. These improvements definitely help players manage fatigue, assist organizers in logistic management and enable broadcasters to manage coverage logistics. Thus, the study finds that dynamic programming can effectively enhance the economic viability of various sporting events, such as cricket, football or other large-scale multi-location events.

Suggested Citation

  • Bireshwar Bhattacharjee & Bishweshwar Bhattacharjee & Dibyojyoti Bhattacharjee & Santanu Choudhury, 2026. "Strategic Route Optimization for IPL Teams: Boosting Economic Significance," Management and Labour Studies, XLRI Jamshedpur, School of Business Management & Human Resources, vol. 51(1), pages 48-67, February.
    • Handle: RePEc:sae:manlab:v:51:y:2026:i:1:p:48-67
    DOI: 10.1177/0258042X251401347
    as

    Download full text from publisher

    File URL: https://journals.sagepub.com/doi/10.1177/0258042X251401347
    Download Restriction: no
    File URL: https://libkey.io/10.1177/0258042X251401347?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Bireshwar Bhattacharjee & Dibyojyoti Bhattacharjee & Hemanta Saikia & Bishweshwar Bhattacharjee, 2025. "An Improved Point System for Cricket’s World Test Championship," Management and Labour Studies, XLRI Jamshedpur, School of Business Management & Human Resources, vol. 50(1), pages 82-101, February.
    2. Fernando Alarcón & Guillermo Durán & Mario Guajardo & Jaime Miranda & Hugo Muñoz & Luis Ramírez & Mario Ramírez & Denis Sauré & Matías Siebert & Sebastián Souyris & Andrés Weintraub & Rodrigo Wolf-Yad, 2017. "Operations Research Transforms the Scheduling of Chilean Soccer Leagues and South American World Cup Qualifiers," Interfaces, INFORMS, vol. 47(1), pages 52-69, February.
    3. Babatunde Buraimo & Rob Simmons, 2015. "Uncertainty of Outcome or Star Quality? Television Audience Demand for English Premier League Football," International Journal of the Economics of Business, Taylor & Francis Journals, vol. 22(3), pages 449-469, November.
    4. Earl E. Bomberger, 1966. "A Dynamic Programming Approach to a Lot Size Scheduling Problem," Management Science, INFORMS, vol. 12(11), pages 778-784, July.
    5. Elizabeth L. Bouzarth & Benjamin C. Grannan & John M. Harris & Kevin R. Hutson, 2022. "Scheduling the Valley Baseball League," Interfaces, INFORMS, vol. 52(2), pages 189-197, March.
    6. Eikenbroek, Oskar A.L. & Still, Georg J. & van Berkum, Eric C., 2022. "Improving the performance of a traffic system by fair rerouting of travelers," European Journal of Operational Research, Elsevier, vol. 299(1), pages 195-207.
    7. Mike Wright, 2018. "Scheduling an amateur cricket league over a nine-year period," Journal of the Operational Research Society, Taylor & Francis Journals, vol. 69(11), pages 1854-1862, November.
    8. Bogdan Włodarczyk & Waldemar Cudny, 2022. "Individual Low-Cost Travel as a Route to Tourism Sustainability," Sustainability, MDPI, vol. 14(17), pages 1-21, August.
    9. Layon Mescolin de Oliveira & Ivo Chaves da Silva Junior & Ramon Abritta, 2023. "A Space Reduction Heuristic for Thermal Unit Commitment Considering Ramp Constraints and Large-Scale Generation Systems," Energies, MDPI, vol. 16(14), pages 1-15, July.
    10. Mahmoudi, Monirehalsadat & Zhou, Xuesong, 2016. "Finding optimal solutions for vehicle routing problem with pickup and delivery services with time windows: A dynamic programming approach based on state–space–time network representations," Transportation Research Part B: Methodological, Elsevier, vol. 89(C), pages 19-42.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. van Doornmalen, Jasper & Hojny, Christopher & Lambers, Roel & Spieksma, Frits C.R., 2023. "Integer programming models for round robin tournaments," European Journal of Operational Research, Elsevier, vol. 310(1), pages 24-33.
    2. Uribe, Rodrigo & Buzeta, Cristian & Manzur, Enrique & Alvarez, Isabel, 2021. "Determinants of football TV audience: The straight and ancillary effects of the presence of the local team on the FIFA world cup," Journal of Business Research, Elsevier, vol. 127(C), pages 454-463.
    3. Gong, Manlin & Hu, Yucong & Chen, Zhiwei & Li, Xiaopeng, 2021. "Transfer-based customized modular bus system design with passenger-route assignment optimization," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 153(C).
    4. Wu, Xin (Bruce) & Lu, Jiawei & Wu, Shengnan & Zhou, Xuesong (Simon), 2021. "Synchronizing time-dependent transportation services: Reformulation and solution algorithm using quadratic assignment problem," Transportation Research Part B: Methodological, Elsevier, vol. 152(C), pages 140-179.
    5. Beck, Fabian G. & Biel, Konstantin & Glock, Christoph H., 2019. "Integration of energy aspects into the economic lot scheduling problem," International Journal of Production Economics, Elsevier, vol. 209(C), pages 399-410.
    6. Yang, Lixing & Zhou, Xuesong, 2017. "Optimizing on-time arrival probability and percentile travel time for elementary path finding in time-dependent transportation networks: Linear mixed integer programming reformulations," Transportation Research Part B: Methodological, Elsevier, vol. 96(C), pages 68-91.
    7. Guillermo Durán, 2021. "Sports scheduling and other topics in sports analytics: a survey with special reference to Latin America," TOP: An Official Journal of the Spanish Society of Statistics and Operations Research, Springer;Sociedad de Estadística e Investigación Operativa, vol. 29(1), pages 125-155, April.
    8. Nicholas G. Hall, 1988. "A multi‐item EOQ model with inventory cycle balancing," Naval Research Logistics (NRL), John Wiley & Sons, vol. 35(3), pages 319-325, June.
    9. Rodrigo Schneider & Peter Allmen & Garrett Munck, 2022. "The impact of winter Olympic games participation on NHL attendance," Economics of Governance, Springer, vol. 23(3), pages 253-270, December.
    10. Schreyer & Torgler Benno & Schmidt Sascha L., 2018. "Game Outcome Uncertainty and Television Audience Demand: New Evidence from German Football," German Economic Review, De Gruyter, vol. 19(2), pages 140-161, May.
    11. Chen, Jingxu & Wang, Shuaian & Liu, Zhiyuan & Guo, Yanyong, 2018. "Network-based optimization modeling of manhole setting for pipeline transportation," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 113(C), pages 38-55.
    12. Lee, Enoch & Cen, Xuekai & Lo, Hong K., 2022. "Scheduling zonal-based flexible bus service under dynamic stochastic demand and Time-dependent travel time," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 168(C).
    13. Babatunde Buraimo & David Forrest & Ian G. McHale & J.D. Tena, 2020. "Armchair Fans: New Insights Into The Demand For Televised Soccer," Working Papers 202020, University of Liverpool, Department of Economics.
    14. Guan, Yunlin & Xiang, Wang & Wang, Yun & Yan, Xuedong & Zhao, Yi, 2023. "Bi-level optimization for customized bus routing serving passengers with multiple-trips based on state–space–time network," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 614(C).
    15. Dominik Schreyer & Daniel Däuper, 2018. "Determinants of spectator no-show behaviour: first empirical evidence from the German Bundesliga," Applied Economics Letters, Taylor & Francis Journals, vol. 25(21), pages 1475-1480, December.
    16. Luiz E. Luiz & Gabriel Fialho & João P. Teixeira, 2024. "Is Football Unpredictable? Predicting Matches Using Neural Networks," Forecasting, MDPI, vol. 6(4), pages 1-17, December.
    17. Raul Caruso & Francesco Addesa & Marco Di Domizio, 2019. "The Determinants of the TV Demand for Soccer: Empirical Evidence on Italian Serie A for the Period 2008-2015," Journal of Sports Economics, , vol. 20(1), pages 25-49, January.
    18. Chang, Ping-Teng & Yao, Ming-Jong & Huang, Shih-Fen & Chen, Chia-Tsung, 2006. "A genetic algorithm for solving a fuzzy economic lot-size scheduling problem," International Journal of Production Economics, Elsevier, vol. 102(2), pages 265-288, August.
    19. Menezes, Mozart B.C. & Jalali, Hamed & Lamas, Alejandro, 2021. "One too many: Product proliferation and the financial performance in manufacturing," International Journal of Production Economics, Elsevier, vol. 242(C).
    20. Taleizadeh, Ata Allah & Cárdenas-Barrón, Leopoldo Eduardo & Mohammadi, Babak, 2014. "A deterministic multi product single machine EPQ model with backordering, scraped products, rework and interruption in manufacturing process," International Journal of Production Economics, Elsevier, vol. 150(C), pages 9-27.

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:sae:manlab:v:51:y:2026:i:1:p:48-67. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: SAGE Publications (email available below). General contact details of provider: http://www.xlri.ac.in/ .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.