610. Allocation-Routing Problem in a Multi Hospital Home Hospitalization system: the case of a healthcare provider in Portugal
Invited abstract in session WB-11: Home Health Care Routing, stream OR in Healthcare (ORAHS).
Wednesday, 10:30-12:00Room: Clarendon SR 1.03
Authors (first author is the speaker)
| 1. | Valentina Bonomi
|
| CEGIST, Instituto Tècnico Lisboa | |
| 2. | Maria Lopes
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| CEGIST, Instituto Superior Técnico | |
| 3. | Daniel Santos
|
| CEGIST, Instituto Superior Técnico, Universidade de Lisboa | |
| 4. | Renata Mansini
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| Department of Information Engineering, University of Brescia | |
| 5. | Ana Barbosa-Povoa
|
| Departamento de Engenharia e Gestão, Instituto Superior Técnico, Universidade de Lisboa |
Abstract
Home hospitalization (HH) enhances patient-centered care while reducing the strain on conventional healthcare facilities. Managing specialized nurses and doctors efficiently is crucial due to their shared responsibilities in inpatient and outpatient settings. We formulate the Multi-Hospital Home Hospitalization Allocation-Routing Problem (MH-HHARP) as a Mixed-Integer Linear Programming model with three objectives: minimizing routing costs, balancing nurse workload, and minimizing employed doctors. The model is solved individually for each objective, and trade-offs are explored via bi-objective Pareto frontiers within a multi-objective framework. Benchmark instances derived from HH historical data validate the approach. A single-objective analysis assesses the economic impact of opening new HH units, while bi-objective results aid decision-making by presenting Pareto frontiers. A TOPSIS analysis identifies optimal solutions based on varying objective weights. Managerial insights highlight the effects of prioritizing different objectives and the economic implications of strategic decisions.
Keywords
- Health Care
- Programming, Multi-Objective
- Programming, Mixed-Integer
Status: accepted
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