IDEAS home Printed from https://ideas.repec.org/a/gam/jmathe/v10y2022i24p4750-d1003292.html
   My bibliography  Save this article

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
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2227-7390/10/24/4750/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2227-7390/10/24/4750/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    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. 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.
    3. 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.
    4. 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.
    5. Kaijian He & Don Wu & Yingchao Zou, 2022. "Tourist Arrival Forecasting Using Multiscale Mode Learning Model," Mathematics, MDPI, vol. 10(16), pages 1-12, August.
    6. Liming Zheng & Shiqi Luo, 2022. "Adaptive Differential Evolution Algorithm Based on Fitness Landscape Characteristic," Mathematics, MDPI, vol. 10(9), pages 1-33, May.
    7. 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.
    8. 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.
    9. 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.
    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.
    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. Makam, Vaishno Devi & Millossovich, Pietro & Tsanakas, Andreas, 2021. "Sensitivity analysis with χ2-divergences," Insurance: Mathematics and Economics, Elsevier, vol. 100(C), pages 372-383.
    2. S. Cucurachi & E. Borgonovo & R. Heijungs, 2016. "A Protocol for the Global Sensitivity Analysis of Impact Assessment Models in Life Cycle Assessment," Risk Analysis, John Wiley & Sons, vol. 36(2), pages 357-377, February.
    3. İhsan Erdem Kayral & Tuğba Sarı & Nisa Şansel Tandoğan Aktepe, 2023. "Forecasting the Tourist Arrival Volumes and Tourism Income with Combined ANN Architecture in the Post COVID-19 Period: The Case of Turkey," Sustainability, MDPI, vol. 15(22), pages 1-20, November.
    4. Silvia Ranfagni & Wilson Ozuem, 2022. "Luxury and Sustainability: Technological Pathways and Potential Opportunities," Sustainability, MDPI, vol. 14(9), pages 1-12, April.
    5. Wilson, Duncan T. & Hawe, Glenn I. & Coates, Graham & Crouch, Roger S., 2013. "A multi-objective combinatorial model of casualty processing in major incident response," European Journal of Operational Research, Elsevier, vol. 230(3), pages 643-655.
    6. Fouladvand, Javanshir & Aranguren Rojas, Maria & Hoppe, Thomas & Ghorbani, Amineh, 2022. "Simulating thermal energy community formation: Institutional enablers outplaying technological choice," Applied Energy, Elsevier, vol. 306(PA).
    7. Janssens, Jochen & Van den Bergh, Joos & Sörensen, Kenneth & Cattrysse, Dirk, 2015. "Multi-objective microzone-based vehicle routing for courier companies: From tactical to operational planning," European Journal of Operational Research, Elsevier, vol. 242(1), pages 222-231.
    8. Henky Lesmana & Sugiarto Sugiarto & Christiana Yosevina & Handyanto Widjojo, 2022. "A Competitive Advantage Model for Indonesia’s Sustainable Tourism Destinations from Supply and Demand Side Perspectives," Sustainability, MDPI, vol. 14(24), pages 1-31, December.
    9. Elaine O Nsoesie & Richard J Beckman & Madhav V Marathe, 2012. "Sensitivity Analysis of an Individual-Based Model for Simulation of Influenza Epidemics," PLOS ONE, Public Library of Science, vol. 7(10), pages 1-16, October.
    10. Jessie Bravo & Roger Alarcón & Carlos Valdivia & Oscar Serquén, 2023. "Application of Machine Learning Techniques to Predict Visitors to the Tourist Attractions of the Moche Route in Peru," Sustainability, MDPI, vol. 15(11), pages 1-25, June.
    11. Hongtao Lei & Gilbert Laporte & Bo Guo, 2012. "A generalized variable neighborhood search heuristic for the capacitated vehicle routing problem with stochastic service times," TOP: An Official Journal of the Spanish Society of Statistics and Operations Research, Springer;Sociedad de Estadística e Investigación Operativa, vol. 20(1), pages 99-118, April.
    12. Yong-Hyuk Kim & Fabio Caraffini, 2023. "Preface to “Swarm and Evolutionary Computation—Bridging Theory and Practice”," Mathematics, MDPI, vol. 11(5), pages 1-3, March.
    13. Emanuele Borgonovo, 2006. "Measuring Uncertainty Importance: Investigation and Comparison of Alternative Approaches," Risk Analysis, John Wiley & Sons, vol. 26(5), pages 1349-1361, October.
    14. Ling Shen & Fengming Tao & Songyi Wang, 2018. "Multi-Depot Open Vehicle Routing Problem with Time Windows Based on Carbon Trading," IJERPH, MDPI, vol. 15(9), pages 1-20, September.
    15. C. L. Smith & E. Borgonovo, 2007. "Decision Making During Nuclear Power Plant Incidents—A New Approach to the Evaluation of Precursor Events," Risk Analysis, John Wiley & Sons, vol. 27(4), pages 1027-1042, August.
    16. Jose Luiz F. Barbosa & Antonio P. Coimbra & Dan Simon & Wesley P. Calixto, 2022. "Optimization Process Applied in the Thermal and Luminous Design of High Power LED Luminaires," Energies, MDPI, vol. 15(20), pages 1-28, October.
    17. Emanuele Borgonovo & Gordon B. Hazen & Elmar Plischke, 2016. "A Common Rationale for Global Sensitivity Measures and Their Estimation," Risk Analysis, John Wiley & Sons, vol. 36(10), pages 1871-1895, October.
    18. Carla L. Simões & Ricardo Simoes & Ana Sofia Gonçalves & Leonel J. R. Nunes, 2023. "Environmental Analysis of the Valorization of Woody Biomass Residues: A Comparative Study with Vine Pruning Leftovers in Portugal," Sustainability, MDPI, vol. 15(20), pages 1-16, October.
    19. Retno Agustarini & Yetti Heryati & Yelin Adalina & Wahyu Catur Adinugroho & Dhany Yuniati & Rizki Ary Fambayun & Gerhard Eli Sabastian & Asep Hidayat & Hesti Lestari Tata & William Ingram & Aulia Perd, 2022. "The Development of Indigofera spp. as a Source of Natural Dyes to Increase Community Incomes on Timor Island, Indonesia," Economies, MDPI, vol. 10(2), pages 1-30, February.
    20. Sumeet R. Patil & H. Christopher Frey, 2004. "Comparison of Sensitivity Analysis Methods Based on Applications to a Food Safety Risk Assessment Model," Risk Analysis, John Wiley & Sons, vol. 24(3), pages 573-585, June.

    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:gam:jmathe:v:10:y:2022:i:24:p:4750-:d:1003292. 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: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    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.