Home Health Care Scheduling Problem Under Uncertainty: Robust Optimization Approaches

Abstract

This paper deals with the home health care service (HHCS) which is defined as a set of medical, paramedical and social services delivered to patients in their domicile rather than in hospital. To support decision making in HHC, optimization models have been used. However, several of those models are deterministic and do not address the dynamical and uncertainty aspects of the system and variability of some patient data. The HHC scheduling problems are facing more and more complex and specific constraints. These constraints have to be respected, meanwhile the problem objective is optimized under parameters uncertainties. This paper aims to Optimization Approaches for Health Care 289 formulate a model that integrated home care scheduling problem while taking into account human aspect -the behavior of patients, and also another aspect like travel time uncertainty and dynamic behavior of involved medical team and social actors in HHC. Robust approaches are adopted to model and handle this uncertainty.

Learning-Based Metaheuristic Approach for Home Healthcare Optimization Problem

“…Moreover, the proposed solution approach proves its ability to reduce service costs and balance the workload between caregivers using their experiences. In future works, it would be interesting to consider uncertainty in task time duration as in [69].…”