Coupling Performance Evaluation, Analysis and Risks Optimization for hospital sterilization services efficient and robust risk
Supervisor name : DI MASCOLO Maria
Laboratorysupervisor : G-SCOP
Co-Supervisor name : Jean-Marie Flaus et Marie-Laure Espinousse
Doctoral School : IMEP2
Start Date : September-October 2014
Financing – Context – Partnerships :
Positioning and challenges: We are interested in the flow management and risk analysis in the context of the hospital sterilization. This work is worth in economic and societal context, in which it is imperative to make any effort to prevent nosocomial infections - sterilization is an important step in this process - but also to control costs in a hospital context.
This topic follows two theses, which enabled to develop a generic simulation model for sterilization services [Ngo Cong 2009], and algorithms for the optimization of washer loading [Ozturk 2012], and an ongoing thesis which will couple the risk analysis and the performance evaluation in sterilization services [ Negrichi 2014].
The triple competence existing at G-SCOP laboratory (risk analysis, performance evaluation, optimization) allows us to expect a valuable contribution, innovative and in line with demand.
Objectives and work required: The objective of this work is to develop an integrated approach for analyzing production systems, ranging from risk analysis to the performance evaluation, coupled with optimization.
This thesis aims to develop methodological tools enabling to :
·define, model and solve new optimization problems, in the context of improving the organization of a hospital sterilization,
·make the link between the model obtained by risk analysis (dynamic) and optimization problems (static with durations),
In a second step, the resulting model can be used to :
·study the impact of flow optimization policies on sterilization services, taking into account the occurrence of defects and their propagation
·study the impact of different flow management policies.
Knowledge and skills : Skills in stochastic modeling (simulation, queuing networks, Petri nets), in scheduling and programming, oriented risk analysis model are needed in this work.