230. Multi-objective optimization for home healthcare delivery
Invited abstract in session HB-3: Transportation in Healthcare and Social Services, stream Regular talks.
Thursday, 11:00-12:30Room: Room S2
Authors (first author is the speaker)
| 1. | ANDRES FELIPE TORRES RAMOS
|
| Management, Universidad de los Andes | |
| 2. | Nubia Velasco
|
| Universidad de los Andes | |
| 3. | Fabián Castaño
|
| Frubana |
Abstract
This study addresses a multi-objective optimization problem in home health care (HHC) delivery aiming at assigning patients and routes to caregivers over multiple periods while considering the multiple stakeholders' perspectives and constraints. We consider a scenario where patients require treatments that should carefully follow specific visit frequencies and be served during a given time window. The goal is to find allocations of patients to caregivers and routes that balance the objectives of the key stakeholders in the service, i.e., patients, caregivers, and the HHC organization. This is done by optimizing the difference between the workloads among caregivers, the transportation costs for HHC organizations, and the patient’s continuity of care, respectively. To achieve this, we have developed different exact and heuristic approaches to find solutions that pursue those objectives both separately, using single objective optimization (SOO), and simultaneously through multiple objective optimization (MOO) methods. These procedures seek a balance between objectives and allow a joint evaluation of different operational and stakeholder perspectives, enabling efficient decision-making in the planning and scheduling of home healthcare services. To evaluate the performance of these approaches, different numerical experiments are performed based on a set of instances adapted from the literature.
Keywords
- Home care and Long Term Care
- Healthcare logistics
- Workforce planning and scheduling
Status: accepted
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