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Metaheuristics in Business Model Development for Local Tourism Sustainability Enhancement

Author

Listed:
  • Pawnrat Thumrongvut

    (Research Unit on System Modelling for Industry, Department of Industrial Engineering, Faculty of Engineering, Khon Kaen University, Khon Kaen 40002, Thailand)

  • Kanchana Sethanan

    (Research Unit on System Modelling for Industry, Department of Industrial Engineering, Faculty of Engineering, Khon Kaen University, Khon Kaen 40002, Thailand)

  • Thitipong Jamrus

    (Research Unit on System Modelling for Industry, Department of Industrial Engineering, Faculty of Engineering, Khon Kaen University, Khon Kaen 40002, Thailand)

  • Chuleeporn Wongloucha

    (Faculty of Economics, Khon Kaen University, Khon Kaen 40002, Thailand)

  • Rapeepan Pitakaso

    (Metaheuristics for Logistic Optimization Laboratory, Department of Industrial Engineering, Faculty of Engineering, Ubon Ratchathani University, Ubon Ratchathani 34190, Thailand)

  • Paulina Golinska-Dawson

    (Faculty of Engineering Management, Poznan University of Technology, 60-965 Poznań, Poland)

Abstract

This study focused on analyzing planning and scheduling services in the tourism industry. Because dealing with these issues necessitates consideration of several important factors and stakeholders in the tourism business, it is challenging to operate resources efficiently. The purpose of this research is to propose a novel approach that allows maximizing the profits of tourism-related service sectors while considering many real-life constraints, such as sequence-dependent travel time, tourist time windows, points of interest, and specific destination constraints. We test our mathematical model for solving first small-scale problems and then metaheuristics proposed for finding a solution for real-life size problems. Moreover, sensitivity analysis was used to analyze the case study’s worthiness when the total cost and the revenue factor were changed. A real case study from Thailand’s Khon Kaen and Kanchanaburi provinces were used to verify the proposed models. The results indicate that the proposed models can be applied to investment decisions and strategy development. Furthermore, the outputs of the proposed models (i.e., the mathematical and metaheuristics models) can be employed to enhance the sustainability of other supply chains.

Suggested Citation

  • Pawnrat Thumrongvut & Kanchana Sethanan & Thitipong Jamrus & Chuleeporn Wongloucha & Rapeepan Pitakaso & Paulina Golinska-Dawson, 2022. "Metaheuristics in Business Model Development for Local Tourism Sustainability Enhancement," Mathematics, MDPI, vol. 10(24), pages 1-21, December.
    • Handle: RePEc:gam:jmathe:v:10:y:2022:i:24:p:4750-:d:1003292
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    References listed on IDEAS

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    1. Fernández, Elena & Kalcsics, Jörg & Núñez-del-Toro, Cristina, 2017. "A branch-and-price algorithm for the Aperiodic Multi-Period Service Scheduling Problem," European Journal of Operational Research, Elsevier, vol. 263(3), pages 805-814.
    2. Md Sadikur Rahman & Subhajit Das & Amalesh Kumar Manna & Ali Akbar Shaikh & Asoke Kumar Bhunia & Leopoldo Eduardo Cárdenas-Barrón & Gerardo Treviño-Garza & Armando Céspedes-Mota, 2021. "A Mathematical Model of the Production Inventory Problem for Mixing Liquid Considering Preservation Facility," Mathematics, MDPI, vol. 9(24), pages 1-19, December.
    3. Manuel Rodríguez Díaz & Tomás F. Espino Rodríguez, 2016. "Determining the Sustainability Factors and Performance of a Tourism Destination from the Stakeholders’ Perspective," Sustainability, MDPI, vol. 8(9), pages 1-17, September.
    4. Dong-Hee Cho & Seung-Hyun Moon & Yong-Hyuk Kim, 2021. "Genetic Feature Selection Applied to KOSPI and Cryptocurrency Price Prediction," Mathematics, MDPI, vol. 9(20), pages 1-19, October.
    5. Chuleeporn Kusoncum & Kanchana Sethanan & Rapeepan Pitakaso & Richard F. Hartl, 2021. "Heuristics with novel approaches for cyclical multiple parallel machine scheduling in sugarcane unloading systems," International Journal of Production Research, Taylor & Francis Journals, vol. 59(8), pages 2479-2497, April.
    6. Delorme, Maxence & Iori, Manuel & Mendes, Nilson F.M., 2021. "Solution methods for scheduling problems with sequence-dependent deterioration and maintenance events," European Journal of Operational Research, Elsevier, vol. 295(3), pages 823-837.
    7. H. Christopher Frey & Sumeet R. Patil, 2002. "Identification and Review of Sensitivity Analysis Methods," Risk Analysis, John Wiley & Sons, vol. 22(3), pages 553-578, June.
    8. Liming Zheng & Shiqi Luo, 2022. "Adaptive Differential Evolution Algorithm Based on Fitness Landscape Characteristic," Mathematics, MDPI, vol. 10(9), pages 1-33, May.
    9. Kaijian He & Don Wu & Yingchao Zou, 2022. "Tourist Arrival Forecasting Using Multiscale Mode Learning Model," Mathematics, MDPI, vol. 10(16), pages 1-12, August.
    10. Fleszar, Krzysztof & Osman, Ibrahim H. & Hindi, Khalil S., 2009. "A variable neighbourhood search algorithm for the open vehicle routing problem," European Journal of Operational Research, Elsevier, vol. 195(3), pages 803-809, June.
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