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Model and Analysis of Delivery Route in the Healthcare Cold Chain Network using Minimax Vehicle Routing Problem with Time Window (VRPTW)

Published:22 August 2023Publication History

ABSTRACT

Logistics and supply chain management for the healthcare sector is concerned with activities related to procurement, manufacturing, storage, distribution, and transportation. Key stakeholders are from various parties inclusive of material supplier, manufacturer, distribution center, regional hospital, provincial hospital, as well as patients. In this research, we examine the delivery-route decisions for last-mile delivery using a selective case study of transporting healthcare products to downstream points of consumption. Initially, the Vehicle Routing Problem with Time Window (VRPTW) is developed. Then, in order to model the driver perspective to deliver healthcare products and to capture urgent needs of healthcare products under time constraints due to temperature control in the healthcare cold chain (HCC), the minimax objective is used as a surrogate objective function reflecting social perspective in this study. Then, a sensitivity analysis is performed to assess how changing the number of vehicles affects the model performance. Finally, the case study from the third-party logistics (3PL) company is used to verify and validate the model functionalities. Our initial study provides promising result and is subject to the on-going development of the healthcare cold chain optimization model in our research study.

References

  1. Ransikarbum, K., & Mason, S. J. (2021). A bi-objective optimisation of post-disaster relief distribution and short-term network restoration using hybrid NSGA-II algorithm. International Journal of Production Research, 1-25.Google ScholarGoogle Scholar
  2. Mathur, B., Gupta, S., Meena, M. L., & Dangayach, G. S. (2018). Healthcare supply chain management: literature review and some issues. Journal of Advances in Management Research.Google ScholarGoogle ScholarCross RefCross Ref
  3. Global Healthcare Cold Chain Logistics Market Report & Forecast (2022-2027). https://www.imarcgroup.com/ (accessed: June. 1, 2022)Google ScholarGoogle Scholar
  4. The next new normal for pharmaceutical supply chains in Thailand. https://www.dksh.com/global-en/insights/ (accessed: Apr. 15, 2022)Google ScholarGoogle Scholar
  5. Niemsakul, J., Ransikarbum, K., Singkarin, D. (2022). Hospital-Location Classification and Analysis in the Healthcare Cold Chain using K-means Algorithm. In 2022 International Conference on Engineering and Emerging Technologies (ICEET).Google ScholarGoogle ScholarCross RefCross Ref
  6. Dixit, A., Routroy, S., & Dubey, S. K. (2019). A systematic literature review of healthcare supply chain and implications of future research. International Journal of Pharmaceutical and Healthcare Marketing.Google ScholarGoogle ScholarCross RefCross Ref
  7. ur Rehman, O., & Ali, Y. (2021). Enhancing healthcare supply chain resilience: decision-making in a fuzzy environment. The International Journal of Logistics Management.Google ScholarGoogle Scholar
  8. Beaulieu, M., & Bentahar, O. (2021). Digitalization of the healthcare supply chain: A roadmap to generate benefits and effectively support healthcare delivery. Technological forecasting and social change, 167, 120717.Google ScholarGoogle Scholar
  9. Moons, K., Waeyenbergh, G., & Pintelon, L. (2019). Measuring the logistics performance of internal hospital supply chains–a literature study. Omega, 82, 205-217.Google ScholarGoogle ScholarCross RefCross Ref
  10. Ali, I., & Kannan, D. (2022). Mapping research on healthcare operations and supply chain management: a topic modelling-based literature review. Annals of Operations Research, 1-27.Google ScholarGoogle Scholar
  11. Ransikarbum, K., & Mason, S. J. (2021). A bi-objective optimisation of post-disaster relief distribution and short-term network restoration using hybrid NSGA-II algorithm. International Journal of Production Research, 1-25.Google ScholarGoogle Scholar
  12. Hakimifar, M., Hemmelmayr, V. C., & Tricoire, F. (2022). A lexicographic maximin approach to the selective assessment routing problem. OR Spectrum, 1-45.Google ScholarGoogle Scholar
  13. Toth, P., & Vigo, D. (Eds.). (2014). Vehicle routing: problems, methods, and applications. Society for Industrial and Applied Mathematics.Google ScholarGoogle ScholarCross RefCross Ref
  14. Ostermeier, M., Henke, T., Hübner, A., & Wäscher, G. (2021). Multi-compartment vehicle routing problems: State-of-the-art, modeling framework and future directions. European Journal of Operational Research, 292(3), 799-817.Google ScholarGoogle ScholarCross RefCross Ref
  15. Ransikarbum, K., Chaiyaphan, C., & Pataratanased, R. (2021, September). Analysis of logistical aspect of food-safety system in the green supply chain using vehicle routing problem model. In 2021 Research, Invention, and Innovation Congress: Innovation Electricals and Electronics (RI2C) (pp. 48-53). IEEE.Google ScholarGoogle Scholar
  16. Pitakaso, R., Sethanan, K., & Jamrus, T. (2020). Hybrid PSO and ALNS algorithm for software and mobile application for transportation in ice manufacturing industry 3.5. Computers & Industrial Engineering, 144, 106461.Google ScholarGoogle ScholarCross RefCross Ref
  17. Kucukoglu, I., Dewil, R., & Cattrysse, D. (2021). The electric vehicle routing problem and its variations: A literature review. Computers & Industrial Engineering, 161, 107650.Google ScholarGoogle ScholarDigital LibraryDigital Library
  18. Cattaruzza, D., Absi, N., Feillet, D., & González-Feliu, J. (2017). Vehicle routing problems for city logistics. EURO Journal on Transportation and Logistics, 6(1), 51-79.Google ScholarGoogle ScholarCross RefCross Ref
  19. Sawik, B., Faulin, J., Perez-Bernabeu, E., & Serrano-Hernandez, A. (2016). Bi-objective optimization models for green VRP approaches. ICIL 2016, 247À254.Google ScholarGoogle Scholar
  20. Pei, J., Hu, C., Liu, J., Mei, Y., & Yao, X. (2021, December). Bi-Objective Splitting Delivery VRP with Loading Constraints and Restricted Access. In 2021 IEEE Symposium Series on Computational Intelligence (SSCI) (pp. 01-09). IEEE.Google ScholarGoogle Scholar
  21. Tan, F., Chai, Z. Y., & Li, Y. L. (2021). Multi-objective evolutionary algorithm for vehicle routing problem with time window under uncertainty. Evolutionary Intelligence, 1-16.Google ScholarGoogle Scholar
  22. Ransikarbum, K., Pitakaso, R., & Kim, N. (2020). A decision-support model for additive manufacturing scheduling using an integrative analytic hierarchy process and multi-objective optimization. Applied Sciences, 10(15), 5159.Google ScholarGoogle ScholarCross RefCross Ref
  23. Wattanasaeng, N., & Ransikarbum, K. (2021). Model and analysis of economic-and risk-based objective optimization problem for plant location within industrial estates using epsilon-constraint algorithms. Computation, 9(4), 46.Google ScholarGoogle ScholarCross RefCross Ref
  24. Ransikarbum, K., & Mason, S. J. (2016). Goal programming-based post-disaster decision making for integrated relief distribution and early-stage network restoration. International Journal of Production Economics, 182, 324-341.Google ScholarGoogle ScholarCross RefCross Ref
  25. C. Puchongkawarin, K. Ransikarbum, “An integrative decision support system for improving tourism logistics and public transportation in Thailand,” Tourism Planning & Development, Vol. 18(6), pp. 614-629, 2021.Google ScholarGoogle ScholarCross RefCross Ref
  26. AMPL Modeling Language. https://ampl.com/ (accessed: June. 1, 2022)Google ScholarGoogle Scholar
  27. Ransikarbum, K., Madathil, S. C. Analysis of Wood Collection Site in the Biofuel Supply Chain using Integrated K-means and Rectilinear Minisum Location Model. In 2022 Research, Invention, and Innovation Congress: Innovation Electricals and Electronics (RI2C). IEEE.Google ScholarGoogle Scholar
  28. Sharma, R., Kamble, S. S., & Gunasekaran, A. (2018). Big GIS analytics framework for agriculture supply chains: A literature review identifying the current trends and future perspectives. Computers and Electronics in Agriculture, 155, 103-120.Google ScholarGoogle ScholarCross RefCross Ref
  29. QGIS. https://www.qgis.org/en/site/ (accessed: June. 1, 2022)Google ScholarGoogle Scholar

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              • Published in

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                MSIE '23: Proceedings of the 2023 5th International Conference on Management Science and Industrial Engineering
                April 2023
                375 pages
                ISBN:9798400708381
                DOI:10.1145/3603955

                Copyright © 2023 ACM

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                Publication History

                • Published: 22 August 2023

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