158 Cours Fauriel,
42023 Saint-Étienne

Management of the Sanitary Vehicle Fleet

Affichages : 130

The purpose of this project is to create, using Anylogic simulation software (using Java language), different ambulance movement simulations to recover patients in the city of Clermont-Ferrand.

This tool is mainly intended to help decision-making when choosing an appointment. It suggests, by using an optimization algorithm and through the calculation of a "relevance score", a set of possible dates that respect the different constraints of the service. 

The project aims to develop a decentralised management of a fleet of medical vehicles based on "small data". It is a project that mobilizes expertise in operational research and complex systems; it is based on the idea that the democratization of mobile phones and the growing presence of connected objects allow an innovative approach to the various problems of operational research through the possibility of real-time data capture.

The case study of this project is the decentralized organization of a fleet of independent ambulance drivers who must generally guarantee a level of service to the public (responsiveness and speed of service). The management of such a service is based on the rules of relocation and acceptance of requests from each ambulance driver.

The scientific work lies in the development of the control algorithms for each vehicle. The decisions to be taken concern: the acceptance or rejection of a mission, relocation to a more promising site in demand, unavailability (e.g. lunch break). The models will integrate partial knowledge of the environment: other vehicles, demands, traffic, etc. Performance objectives are defined by economic gain, the ability to accept requests, quality of service (respect of deadlines, minimisation of waiting times and detours in the event of passenger groupings) and specific working conditions (regular breaks, waiting areas). These objectives are combined with performance indicators for the overall service, which must meet the territory's demand with a minimum of rejection and the shortest possible lead times.

Students: Jean Clavel & Quentin Podio, (Polytech Clermont-Ferrand).