Abstract:

In order to reduce carbon emissions in manufacturing processes and overcome the limitations of previous researches which dealt with cutting parameters optimization and scheduling optimization separately and ignored the complex relationship between cutting parameters and scheduling, an integrated optimization model of cutting parameters and scheduling is proposed to minimize the carbon emissions and completion time in the manufacturing process. The proposed model takes into account the impact of cutting parameters on makespan, cutting-tool wear and machine energy consumption, then further affects the result of low carbon orientated scheduling. Since the cutting parameters optimization is a continuous optimization problem but the scheduling optimization is a discrete optimization problem, an improved multi-objective gravitational search algorithm is designed to solve the integrated optimization problem. To optimize the cutting parameters and the scheduling at the same time, the proposed algorithm combines the crossover and mutation operators with the standard gravitation search algorithm. Finally, computational results verify the validity of the model.

Key words: cutting parameters optimization, gravitational search algorithm, scheduling, carbon emissions