Balancing the satisfaction of stakeholders in home health care coordination: a novel OptaPlanner CSP model
As part of the development of the innovative BL.Optim solution, we questioned the concept of route optimization for home health care coordination. We are pleased to inform you that this research and innovation work has recently resulted in a scientific publication in the journal Health Systems, that brings together critical research and commentary on health
Simulation and analysis of disruptive events on BL.Optim-HHCRSP solution
The world demographic trend will be driven by a significant increase in the number of people over 60 years of age (60% increase in the next 40 years), with a life expectancy that is expected to rise. In this context, the demand of home-based support for independent elderly people is increasing sharply. This highlights the
Simulation and analysis of disruptive events on BL.Optim-HHCRSP solution Read More »
Solving optimization problem through the Domain-Specific Language based businesse rules modeler
BL.Optim is a research project of Berger-Levrault about planning management through optimization algorithm. However, the “constraints description” part in BL.Optim is supported by an API, which is extremely difficult to use to express new constraints. We want to replace the constraint descriptor by using a language more or less expressive, which allow us to easily
BL.OptiMAS: a Multi-Agent System-based model towards resolution of Routing and Scheduling Problem under uncertainties
Home care aims to provide appropriate health services to patients in the comfort of their home. This kind of services must be provided on a daily or weekly basis. To organize caregivers rounds, managers use predefined programs that specifies the cares services to be carried out, as well as the different resources allocated to each