Flexible job-shop green scheduling with multiple time constraints considering pre-maintenance
WANG Yu-fang
ZHENG Ming-bo
ZHANG Yi
HUA Xiao-lin
ZHANG Dian-qing
Abstract：Considering the requirements for mold switching,job transportation and the impact of processing load on machine energy consumption in green production,the setting time,transportation time,variable machine energy consump-tion and the pre-maintenance mechanism are incorporated into the scheduling problem model.A flexible job-shop green scheduling model is established with objectives of minimizing the completion time,energy consumption and total noise.The Jaya algorithm based on objective balance is proposed to solve it.Considering the influence of the initial population quality on the evolutionary efficiency,a hybrid initialization strategy is designed,which enhances the objective balance of the initial population and accelerates the convergence speed of the algorithm.For all non-optimal individuals,a diversified Jaya optimization operator is put forward to increase population diversity and global search capability.To prevent the algo-rithm from getting stuck in a local optimum and enhance the distribution of the solutions,three local search strategies based on objective balance are designed.The effectiveness of the proposed strategies is verified through ablation experiments.The experimental comparison results with four algorithms have demonstrated the superiority of the proposed algorithm.
Keywords：flexible job-shop green schedulingmultiple time constraintsvariable energy consumptionpremainte-nancemultiobjective optimization
Publication Date：2025-12-30
Online Publishing Date：2026-03-05(First online date of this platform, not the publication date of the document)
Pages：15( 2598-2612 )