Decision support tools for planning and delivering home care and services


In this project, we propose the development of innovative decision support tools to improve the delivery of home care and services. The project is articulated around two main research topics: A) the development of optimization model and solution approaches for supply (care givers) and demand (patients) management; and B) the development of optimization techniques specific to construct complex personnel schedules in a dynamic and multi-criteria context. The project’s innovation is based on the formulation and design of new optimization approaches that integrate techniques from data science, artificial intelligence and combinatorial optimization. They will be adapted to solve complex and large-scale problems in order to make better (recurrent) decisions in practice.