Multi-criteria evaluation and decision support methods

Multi-criteria evaluation and decision support methods

In order to identify and evaluate risk control levers that contribute to the “healthy and sustainable” challenge of food systems and thus anticipate and better manage the risks associated with current transitions, it is necessary to use multi-criteria approaches that encompass the dimensions of food (nutrition, microbiology, and chemistry) as well as environmental and economic aspects, in order to provide insight for decision-makers and inform consumer choices. It is in this context that several SECALIM projects are being carried out. SECALIM is notably in charge of WP3 of the ANR BIFORES project. In this WP, multi-criteria and decision support techniques are used to identify new infant formulae offering the greatest health benefits at the lowest environmental cost, without compromising safety (microbial risk as low as possible). A multi-criteria analysis is also used to select legume-based products based on health, nutritional, sustainability, and consumer acceptability criteria as part of the TRANSLAG project. These studies belong to theme 2: Assess the safety risk.

Theses supervised on this topic:

Kousseila Tigrine is currently working on her thesis as part of the BIFORES project, which aims to design new PPNs (nPPNs) by combining microfiltration and minimal heat treatment with fermentation, using a multidisciplinary approach to maximize health benefits and reduce microbiological risks and environmental impact. 

Rodney Feliciano's thesis, defended in 2023, focused on the construction of a Quantitative Assessment of Microbiological Exposure model that takes into account the effects of climate change and the environmental impact of processes in the dairy processing industry. This project was part of the European ITN-PROTECT project.

Contact

Rodney Feliciano, INRAE Researcher  at Secalim

In this folder

ANR PRC project coordinated by UMR INRAE STLO and gathering UMR NUMECAN, SECALIM, MEDIS and the BBA Milk Valley consortium

Microbiological risk assessment and multi-criteria assessment of infant formula (Supervisors: Rodney Feliciano, Jeanne-Marie Membré, and Sandrine Guillou)

A detailed analysis of studies integrating life cycle analysis and risk assessment in different areas

Develop a Quantitative Microbial Exposure Assessment (QMEA) model to assess the impact of key process steps on both risk for human health and commercial sterility failure rate, and identify mitigation strategies to overall minimize microbial risk and environmental impact (supervised by Jeanne-Marie Membré and Géraldine Boué)