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A Biobjective Approach to Assigning Recreational Activities to Medical Tourists

Year 2023, Volume: 9 Issue: 3, 296 - 306, 30.09.2023

Abstract

Medical tourism is a growing market due to cost savings for patients and access to treatments unavailable in their home country. Countries offering high-quality medical services at affordable prices have great opportunities for growing their revenue and shares in this market. To increase the welfare of tourists and revenues associated with healthcare tourism, this study proposes a mathematical model for planning the integration of recreational activities to the medical schedules of healthcare tourists. The model achieves this by providing access for medical tourists into appropriate recreational activities based on their medical conditions, availability schedules, and budgets. The proposed integer programming model maximizes a weighted sum of total tourist satisfaction points and profits generated from assigning tourists to recreational activities. It incorporates medical restrictions, ensuring that medical tourists are directed to activities suitable for their medical conditions. The Pareto-efficient frontier for patient satisfaction and company profit is determined utilizing the integer programming model. The proposed model aims for a higher quality experience for health tourists, optimizing their access to recreational activities while promoting economic growth in the health tourism sector. Computational tests demonstrate that the proposed model efficiently solves instance sizes that may arise in practical contexts and enables iterative solutions for obtaining Pareto-efficient frontiers.

References

  • [1]Zhu, C., Hu, J. Q., Wang, F., Xu, Y., & Cao, R. (2012). On the tour planning problem. Annals of Operations Research, 192(1); 67–86. https://doi.org/10.1007/s10479-010-0763-5
  • [2]Vansteenwegen, P., Souffriau, W., Berghe, G. V., & Oudheusden, D. V. (2011). The City Trip Planner: An expert system for tourists. Expert Systems with Applications, 38(6); 6540–6546. https://doi.org/10.1016/j.eswa.2010.11.085
  • [3]Brilhante, I. R., Macedo, J. A., Nardini, F. M., Perego, R., & Renso, C. (2015). On planning sightseeing tours with TripBuilder. Information Processing & Management, 51(2); 1–15. https://doi.org/10.1016/j.ipm.2014.10.003
  • [4]Leong, T.-Y., & Ladany, S. P. (2001). Optimal cruise itinerary design development. International Journal of Services Technology and Management, 2(1–2); 130–141. https://doi.org/10.1504/IJSTM.2001.001595
  • [5]Chia, W. C., Yeong, L. S., Xian Lee, F. J., & Ch’ng, S. I. (2016). Trip planning route optimization with operating hour and duration of stay constraints. 2016 11th International Conference on Computer Science & Education (ICCSE), 395–400. https://doi.org/10.1109/ICCSE.2016.7581613
  • [6]Delalić, S., Chahin, M., & Alihodžić, A. (2019). Optimal City Selection and Concert Tour Planning Based on Heuristic Optimization Methods and the Use of Social Media Analytics. 2019 XXVII International Conference on Information, Communication and Automation Technologies (ICAT), 1–6. https://doi.org/10.1109/ICAT47117.2019.8939040
  • [7]Jean-Marc, G. (2005). Challenges in real world sightseeing tour optimization using meta-heuristics. Proceedings of the 6th WSEAS International Conference on Evolutionary Computing, 233–238.
  • [8]Vargas, D. F. V., & Sendales, D. A. P. (2016). Optimal scheduling trip plan for tourist. 2016 10th International Conference on Intelligent Systems and Control (ISCO), 1–5. https://doi.org/10.1109/ISCO.2016.7727111
  • [9]Perera, D., Rathnayaka, C., Dilan, S., Siriweera, L., & Rankothge, W. H. (2018). Sustainable Tourism: Application of Optimization Algorithms to Schedule Tour Plans. 2018 IEEE Region 10 Humanitarian Technology Conference (R10-HTC), 1–6. https://doi.org/10.1109/R10-HTC.2018.8629826
  • [10]da Silva, A. A., Morabito, R., & Pureza, V. (2018). Optimization approaches to support the planning and analysis of travel itineraries. Expert Systems with Applications, 112; 321–330. https://doi.org/10.1016/j.eswa.2018.06.045
  • [11]Rahimi, I., & Gandomi, A. H. (2021). A Comprehensive Review and Analysis of Operating Room and Surgery Scheduling. Archives of Computational Methods in Engineering, 28(3); 1667–1688. https://doi.org/10.1007/s11831-020-09432-2
  • [12]Ala, A., Simic, V., Deveci, M., & Pamucar, D. (2023). Simulation-Based Analysis of Appointment Scheduling System in Healthcare Services: A Critical Review. Archives of Computational Methods in Engineering, 30(3); 1961–1978. https://doi.org/10.1007/s11831-022-09855-z
  • [13]Ala, A., & Chen, F. (2022). Appointment Scheduling Problem in Complexity Systems of the Healthcare Services: A Comprehensive Review. Journal of Healthcare Engineering, e5819813. https://doi.org/10.1155/2022/5819813
  • [14]Abdalkareem, Z. A., Amir, A., Al-Betar, M. A., Ekhan, P., & Hammouri, A. I. (2021). Healthcare scheduling in optimization context: A review. Health and Technology, 11(3); 445–469. https://doi.org/10.1007/s12553-021-00547-5
  • [15]Van den Bergh, J., Beliën, J., De Bruecker, P., Demeulemeester, E., & De Boeck, L. (2013). Personnel scheduling: A literature review. European Journal of Operational Research, 226(3); 367–385. https://doi.org/10.1016/j.ejor.2012.11.029
  • [16]Ernst, A. T., Jiang, H., Krishnamoorthy, M., & Sier, D. (2004). Staff scheduling and rostering: A review of applications, methods and models. European Journal of Operational Research, 153(1); 3–27. https://doi.org/10.1016/S0377-2217(03)00095-X
  • [17]Rocha, M., Oliveira, J. F., & Carravilla, M. A. (2012). Quantitative Approaches on Staff Scheduling and Rostering in Hospitality Management: An Overview. . https://doi.org/10.4236/ajor.2012.21016
  • [18]Yıldırım, E. (2023). An Integer Programming Model of Recreational Planning in Medical Tourism [Master’s Thesis]. Gebze Technical University.
  • [19]Gurobi Optimization, LLC. (2023). Gurobi Optimizer Reference Manual. https://www.gurobi.com

Sağlık Turistlerinin Rekreasyonel Aktivitelere Atanması için İki Amaçlı Bir Yaklaşım

Year 2023, Volume: 9 Issue: 3, 296 - 306, 30.09.2023

Abstract

Sağlık turizmi, hastalar için maliyet tasarrufu ve ülkelerinde mevcut olmayan tedavilere erişim nedeniyle büyüyen bir pazardır. Yüksek kalitede ve uygun fiyatlı sağlık hizmetleri sunan ülkeler, bu pazarda gelirlerini ve paylarını artırma fırsatına sahiptir. Sağlık turizmi ile ilişkili gelirlerin ve turistlerin refahının artırılması amacıyla, bu çalışma sağlık turistlerinin tıbbi programlarına rekreasyonel aktivitelerin entegrasyonunu planlamak için bir matematiksel model önermektedir. Model, sağlık turistlerine tıbbî durumları, hasta uygunluk programları ve bütçelerini dikkate alarak rekreasyonel aktivitelere erişim sağlar. Önerilen tamsayılı programlama modeli, turistleri rekreasyonel aktivitelere yönlendirerek elde edilen toplam turist memnuniyeti puanı ve şirket kârının ağırlıklı toplamını eniyiler. Hastaların tıbbî çizelgelerinin getirdiği kısıtlamalar modele dahil edilerek sağlık koşullarına uygun aktivitelere yönlendirilmeleri sağlanır. Hasta memnuniyeti ve şirket kârı için Pareto-verimli sınır, tamsayılı programlama modeli kullanılarak belirlenir. Önerilen model sağlık turistleri için daha kaliteli bir deneyim amaçlayarak rekreasyonel aktivitelere erişimi eniyilemekte ve sağlık turizmi sektöründe ekonomik büyümeyi teşvik etmektedir. Hesaplamalı sınamalar göstermektedir ki, önerilen model pratik bağlamlarda ortaya çıkabilecek problem boyutlarını etkin bir şekilde çözebilmekte ve Pareto-verimli sınırları elde etmek için yinelenen çözümlere olanak tanımaktadır.

References

  • [1]Zhu, C., Hu, J. Q., Wang, F., Xu, Y., & Cao, R. (2012). On the tour planning problem. Annals of Operations Research, 192(1); 67–86. https://doi.org/10.1007/s10479-010-0763-5
  • [2]Vansteenwegen, P., Souffriau, W., Berghe, G. V., & Oudheusden, D. V. (2011). The City Trip Planner: An expert system for tourists. Expert Systems with Applications, 38(6); 6540–6546. https://doi.org/10.1016/j.eswa.2010.11.085
  • [3]Brilhante, I. R., Macedo, J. A., Nardini, F. M., Perego, R., & Renso, C. (2015). On planning sightseeing tours with TripBuilder. Information Processing & Management, 51(2); 1–15. https://doi.org/10.1016/j.ipm.2014.10.003
  • [4]Leong, T.-Y., & Ladany, S. P. (2001). Optimal cruise itinerary design development. International Journal of Services Technology and Management, 2(1–2); 130–141. https://doi.org/10.1504/IJSTM.2001.001595
  • [5]Chia, W. C., Yeong, L. S., Xian Lee, F. J., & Ch’ng, S. I. (2016). Trip planning route optimization with operating hour and duration of stay constraints. 2016 11th International Conference on Computer Science & Education (ICCSE), 395–400. https://doi.org/10.1109/ICCSE.2016.7581613
  • [6]Delalić, S., Chahin, M., & Alihodžić, A. (2019). Optimal City Selection and Concert Tour Planning Based on Heuristic Optimization Methods and the Use of Social Media Analytics. 2019 XXVII International Conference on Information, Communication and Automation Technologies (ICAT), 1–6. https://doi.org/10.1109/ICAT47117.2019.8939040
  • [7]Jean-Marc, G. (2005). Challenges in real world sightseeing tour optimization using meta-heuristics. Proceedings of the 6th WSEAS International Conference on Evolutionary Computing, 233–238.
  • [8]Vargas, D. F. V., & Sendales, D. A. P. (2016). Optimal scheduling trip plan for tourist. 2016 10th International Conference on Intelligent Systems and Control (ISCO), 1–5. https://doi.org/10.1109/ISCO.2016.7727111
  • [9]Perera, D., Rathnayaka, C., Dilan, S., Siriweera, L., & Rankothge, W. H. (2018). Sustainable Tourism: Application of Optimization Algorithms to Schedule Tour Plans. 2018 IEEE Region 10 Humanitarian Technology Conference (R10-HTC), 1–6. https://doi.org/10.1109/R10-HTC.2018.8629826
  • [10]da Silva, A. A., Morabito, R., & Pureza, V. (2018). Optimization approaches to support the planning and analysis of travel itineraries. Expert Systems with Applications, 112; 321–330. https://doi.org/10.1016/j.eswa.2018.06.045
  • [11]Rahimi, I., & Gandomi, A. H. (2021). A Comprehensive Review and Analysis of Operating Room and Surgery Scheduling. Archives of Computational Methods in Engineering, 28(3); 1667–1688. https://doi.org/10.1007/s11831-020-09432-2
  • [12]Ala, A., Simic, V., Deveci, M., & Pamucar, D. (2023). Simulation-Based Analysis of Appointment Scheduling System in Healthcare Services: A Critical Review. Archives of Computational Methods in Engineering, 30(3); 1961–1978. https://doi.org/10.1007/s11831-022-09855-z
  • [13]Ala, A., & Chen, F. (2022). Appointment Scheduling Problem in Complexity Systems of the Healthcare Services: A Comprehensive Review. Journal of Healthcare Engineering, e5819813. https://doi.org/10.1155/2022/5819813
  • [14]Abdalkareem, Z. A., Amir, A., Al-Betar, M. A., Ekhan, P., & Hammouri, A. I. (2021). Healthcare scheduling in optimization context: A review. Health and Technology, 11(3); 445–469. https://doi.org/10.1007/s12553-021-00547-5
  • [15]Van den Bergh, J., Beliën, J., De Bruecker, P., Demeulemeester, E., & De Boeck, L. (2013). Personnel scheduling: A literature review. European Journal of Operational Research, 226(3); 367–385. https://doi.org/10.1016/j.ejor.2012.11.029
  • [16]Ernst, A. T., Jiang, H., Krishnamoorthy, M., & Sier, D. (2004). Staff scheduling and rostering: A review of applications, methods and models. European Journal of Operational Research, 153(1); 3–27. https://doi.org/10.1016/S0377-2217(03)00095-X
  • [17]Rocha, M., Oliveira, J. F., & Carravilla, M. A. (2012). Quantitative Approaches on Staff Scheduling and Rostering in Hospitality Management: An Overview. . https://doi.org/10.4236/ajor.2012.21016
  • [18]Yıldırım, E. (2023). An Integer Programming Model of Recreational Planning in Medical Tourism [Master’s Thesis]. Gebze Technical University.
  • [19]Gurobi Optimization, LLC. (2023). Gurobi Optimizer Reference Manual. https://www.gurobi.com
There are 19 citations in total.

Details

Primary Language English
Subjects Construction Business
Journal Section Research Article
Authors

Burak Paç 0000-0003-2177-4585

Early Pub Date September 27, 2023
Publication Date September 30, 2023
Submission Date July 15, 2023
Acceptance Date September 27, 2023
Published in Issue Year 2023 Volume: 9 Issue: 3

Cite

APA Paç, B. (2023). A Biobjective Approach to Assigning Recreational Activities to Medical Tourists. International Journal of Computational and Experimental Science and Engineering, 9(3), 296-306.