Victor Senergues Thesis defense

This thesis focuses on optimizing cutting processes in the manufacturing industry, with a particular emphasis on industrial joinery. It aims to reduce material waste through reuse, a fundamental principle of the circular economy, thereby addressing contemporary environmental, economic, and legislative challenges. This research is based on a comprehensive state-of-the-art review of the Cutting Stock Problem with Usable Leftovers (CSPUL), which focuses on reusing industrial leftovers. The method employed combines column generation with diving heuristics to refine solutions and ensure their feasibility in industrial settings. The developed models demonstrate that even limited reuse of leftovers can generate significant benefits. These approaches have been integrated into the REEVERSE software, which provides industrial users with tools to diagnose losses, optimize production, and valorize secondary raw materials. Experimental results validate these solutions, showing that they substantially improve material yield while meeting growing expectations for sustainability and competitiveness. This contribution represents a major step forward in the sustainable optimization of industrial resources.