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Multi-Objective Technology-Based Approach to Home Healthcare Routing Problem Considering Sustainability Aspects

Author

Listed:
  • Ahmed Adnan Zaid

    (Department of Logistic Management, Faculty of Business and Economics, Palestine Technical University-Kadoorie, Tulkarm, Palestine)

  • Ahmed R. Asaad

    (Palestinian Broadcasting Corporation (PBC), Ramallah, Palestine)

  • Mohammed Othman

    (Department of Industrial and Mechanical Engineering, Faculty of Engineering and Information Technology, An-Najah National University, Nablus, Palestine
    Department of Mechanical and Industrial Engineering, College of Engineering, Sultan Qaboos University, Muscat 123, Oman)

  • Ahmad Haj Mohammad

    (Independent Researcher, Ajman, United Arab Emirates)

Abstract

Background : This research aims to solve a home healthcare vehicle routing problem (HHCVRP) model that considers the social aspect of sustainability and will be implemented in smart cities. In addition to the dynamism and uncertainty caused by variations in the patient’s condition, the proposed model considers parameters and variables that enhance its practicability, such as assuming different levels of patient importance (priority). Methods : The model was solved using a metaheuristic algorithm approach via the Ant Colony Optimization algorithm and the Non-Dominated Sorting technique due to the ability of such a combination to work out with dynamic models with uncertainties and multi-objectives. Results : This study proposes a novel mathematical model by integrating body sensors on patients to keep updating their conditions and prioritizing critical conditions in service. The sensitivity analysis demonstrates that using a heart rate sensor improves service quality and patient satisfaction without affecting the energy consumed. In addition, quality costs are increased if the importance levels of patients increase. Conclusions: The suggested model can assist healthcare practitioners in tracking patients’ health conditions to improve the quality of service and manage workload effectively. A trade-off between patient satisfaction and service provider satisfaction should be maintained.

Suggested Citation

  • Ahmed Adnan Zaid & Ahmed R. Asaad & Mohammed Othman & Ahmad Haj Mohammad, 2024. "Multi-Objective Technology-Based Approach to Home Healthcare Routing Problem Considering Sustainability Aspects," Logistics, MDPI, vol. 8(3), pages 1-29, July.
    • Handle: RePEc:gam:jlogis:v:8:y:2024:i:3:p:75-:d:1440896
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    References listed on IDEAS

    as
    1. Gerhard Hiermann & Matthias Prandtstetter & Andrea Rendl & Jakob Puchinger & Günther Raidl, 2015. "Metaheuristics for solving a multimodal home-healthcare scheduling problem," Central European Journal of Operations Research, Springer;Slovak Society for Operations Research;Hungarian Operational Research Society;Czech Society for Operations Research;Österr. Gesellschaft für Operations Research (ÖGOR);Slovenian Society Informatika - Section for Operational Research;Croatian Operational Research Society, vol. 23(1), pages 89-113, March.
    2. Klaus-Dieter Rest & Patrick Hirsch, 2016. "Daily scheduling of home health care services using time-dependent public transport," Flexible Services and Manufacturing Journal, Springer, vol. 28(3), pages 495-525, September.
    3. P. Matl & R. F. Hartl & T. Vidal, 2018. "Workload Equity in Vehicle Routing Problems: A Survey and Analysis," Transportation Science, INFORMS, vol. 52(2), pages 239-260, March.
    4. Vito Albino & Umberto Berardi & Rosa Maria Dangelico, 2015. "Smart Cities: Definitions, Dimensions, Performance, and Initiatives," Journal of Urban Technology, Taylor & Francis Journals, vol. 22(1), pages 3-21, January.
    5. Hossein Hashemi Doulabi & Gilles Pesant & Louis-Martin Rousseau, 2020. "Vehicle Routing Problems with Synchronized Visits and Stochastic Travel and Service Times: Applications in Healthcare," Transportation Science, INFORMS, vol. 54(4), pages 1053-1072, July.
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