Master research thesis offers:

Healthcare Logistics 4.0: Utilization of AI to improve the logistics performance at hospitals

Master thesis

Axis:: Transition sociétale et technologique des entreprises

Site :: Grand Paris Sud

Type:: Master thesis

Supervising person(s):: Paul-Éric Dossou

The COVID pandemic has updated the hospital’s difficulties in terms of performance in order to better meet the expectations of patients but also the working conditions of caregivers, as well as the preservation of their health (safety). The Paris Sénart Icam site has decided to work on a very strong research theme consistent with the Greater Paris South basin: health 4.0. The aim is to introduce into these areas the concepts of Industry 4.0 and artificial intelligence to improve the overall performance of hospitals. This project focuses on the use of new technologies and artificial intelligence to improve the logistics performance of the hospital: Healthcare logistics 4.0.

The project aims to :

Help for the decision aided system development for healthcare logistics improvement
Realize a validation study on a hospital
Realize the digital twin of the hospital studied (detailed simulation)

The state of the art and benchmarking
validation of the beta version beta of the software tool being developed for improving hospital logistics performance
detailed study of the chosen hospital
Validation of the simulation models
Scientific article for a conference

required skills:: Industrial organization, artificial intelligence, computer engineering, simulation

I apply

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