Axis 2: New Tools for Strategic Guidance and Decision Support

This axis aims to propose an evaluation and recommendation system for the sustainability of land management practices to assist them in implementing their maintenance strategies.

This research axis can itself be broken down into different activities:

  • Formalization, modeling, and representation of knowledge. This primarily involves identifying data sources that can be used in the development of tools.
  • Development of a technology to gather all necessary data.
  • Definition of mowing strategies by artificial intelligence, considering long-term environmental changes.
  • Design of a strategic guidance and decision support tool that will consolidate all models derived from the research work developed within the chair.

The current progress and results of this axis are as follows:

Brice Corrigeux, Brunelle Marche, Mauricio Camargo, Christophe Bachmann, Clémence Chaudron (2022). Identification of Sensor Technologies with the Potential to Support Roadside Ecosystem Services. 2022 IEEE 28th International Conference on Engineering, Technology and Innovation (ICE/ITMC) & 31st International Association For Management of Technology (IAMOT) Joint Conference..

PDF

Adriana-Simona Mihaita, Brunelle Marche, Mauricio Camargo, Iman Rahimi, Christophe Bachmann (2022). Multi-Objective Modelling of a Roadside Mowing Problem: A Case Study in France. 2022 IEEE 28th International Conference on Engineering, Technology and Innovation (ICE/ITMC) & 31st International Association For Management of Technology (IAMOT) Joint Conference..

PDF

Sandra Baustista Rodriguez, Brunelle Marche, Fatima Ezzahra Hamdani, Mauricio Camargo, Frédérique Mayer, Christophe Bachmann, Davy Monticolo (2022). Towards Smart and Suitable Management of Roadsides: System Dynamics in the Era of Industry 4.0. Sustainable Operations and Computers.

PDF