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Multi-Objective Optimization of Home Healthcare with Working-Time Balancing and Care Continuity

Author

Listed:
  • Amir M. Fathollahi-Fard

    (Department of Industrial Engineering and Management Systems, Amirkabir University of Technology, Tehran 15914, Iran)

  • Abbas Ahmadi

    (Department of Industrial Engineering and Management Systems, Amirkabir University of Technology, Tehran 15914, Iran)

  • Behrooz Karimi

    (Department of Industrial Engineering and Management Systems, Amirkabir University of Technology, Tehran 15914, Iran)

Abstract

The ageing population in most parts of the world becomes a grand challenge for healthcare decision-makers. The care of elderly persons and general hygienic care at patients’ homes are two main reasons to motivate an optimization problem, namely, home healthcare (HHC). A robust plan for caregivers to have sustainable HHC operations management is to consider working-time balancing of caregivers, care continuity and uncertainties, e.g., the uncertainty of patients’ availability in addition to service and travel times as well as the regulations of companies to meet the standards of high-quality home care services. Based on these motivations and challenges to this field, this study firstly established a multi-objective robust optimization of the HHC which is multi-depot, multi-period and multi-service. The demand of each patient in each period may be different due to promptness of services. Each caregiver plays one of the roles of nurses, doctors, physiotherapists and nutritionists. The types of services are directly related to these roles. The objectives were optimizing the total cost of logistic activities as well as the total unemployment time of caregivers and care continuity. As a complicated optimization problem, this study innovated efficient heuristics and an enhanced nature-inspired metaheuristic. Finally, an extensive comparison with regards to the criteria of the multi-objective algorithms’ assessment was conducted. Some sensitivity analyses were conducted to conclude some practical insights.

Suggested Citation

  • Amir M. Fathollahi-Fard & Abbas Ahmadi & Behrooz Karimi, 2021. "Multi-Objective Optimization of Home Healthcare with Working-Time Balancing and Care Continuity," Sustainability, MDPI, vol. 13(22), pages 1-33, November.
    • Handle: RePEc:gam:jsusta:v:13:y:2021:i:22:p:12431-:d:676376
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    References listed on IDEAS

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    1. Oguntegbe, Kunle Francis & Di Paola, Nadia & Vona, Roberto, 2022. "Behavioural antecedents to blockchain implementation in agrifood supply chain management: A thematic analysis," Technology in Society, Elsevier, vol. 68(C).
    2. Filipe Alves & Lino A. Costa & Ana Maria A. C. Rocha & Ana I. Pereira & Paulo Leitão, 2022. "The Sustainable Home Health Care Process Based on Multi-Criteria Decision-Support," Mathematics, MDPI, vol. 11(1), pages 1-19, December.
    3. Adel Ghazikhani & Iman Babaeian & Mohammad Gheibi & Mostafa Hajiaghaei-Keshteli & Amir M. Fathollahi-Fard, 2022. "A Smart Post-Processing System for Forecasting the Climate Precipitation Based on Machine Learning Computations," Sustainability, MDPI, vol. 14(11), pages 1-27, May.
    4. Carolin Bauerhenne & Jonathan Bard & Rainer Kolisch, 2024. "Robust Routing and Scheduling of Home Healthcare Workers: A Nested Branch-and-Price Approach," Papers 2407.06215, arXiv.org.

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