A multi-objective variable-speed flexible job-shop scheduling model and enhanced NSGA-II algorithm considering carbon policies

Key Points

• The model optimizes job-shop scheduling while considering multiple objectives, including carbon emissions.
• Key evidence shows a notable improvement of 25% in scheduling efficiency alongside reduced carbon impact.
• This analysis uses a multi-objective variable-speed scheduling model and enhances the NSGA-II algorithm for better performance.
• Implications highlight the need for efficiency improvements aligned with sustainability goals in various industries.