Generally, the risk of occurrence is integrated in a limited manner in the performance evaluation models. Most of the time, we simply set random times to take into account the effect of possible risks and uncertainties. But the occurrence of a failure can cause a change in the structure of the system (for example, upon failure of a machine, you can set up a degraded mode, using other resources until repair or replacement of the failed machine). In this case, the solution of the degraded performance evaluation will be done by modifying the original model for each of the possible risks, and evaluating the performance of new solutions.
Our previous work (thesis of Khalil Negrichi) allowed the development of a tool to assess the performance of a production system taking into account the occurrence of failures and their propagation. In this thesis we are looking to enrich this tool by incorporating decisions following the occurrence of failures, and formulating uncertainties on different parts of the model, and the relationships between these uncertainties.
Objective: The objective of this work is thus to develop an integrated approach to analyze production systems, ranging from risk analysis to evaluate performance, taking into account the uncertainties efficiently.
We will seek to develop methodological tools enabling to:
Secondly, the model obtained will be used for:
Knowledge and skills
Date of update May 7, 2015