面向低制造能耗的车间作业调度优化仿真

Optimization Simulation for Job-shop scheduling for Reducing Manufacturing Energy Consumption

为了通过优化车间作业调度降低制造过程中的能耗,将车间机器资源的耗能过程划分为不同阶段。在对各阶段的能耗进行分析建模的基础上,建立了面向低制造能耗的车间作业调度问题模型,并在所建立模型的基础上,以最小化制造能耗为优化目标,采用模拟退火优化算法实现车间作业调度优化。按照编码设计规则随机生成车间作业调度方案,将随机生成的车间作业调度方案作为初始调度方案,采用模拟退火算法实现制造能耗优化,得到最优车间作业调度方案。通过仿真实验验证了所提出方法的可行性和有效性。

To reduce the energy consumption in the manufacturing process by optimizing job-shop scheduling, the process of the machines＇ energy consumption was divided into different stages. The energy consumption of each stage was analyzed and modeled. The job-shop scheduling problem model for manufacturing energy consumption was developed. On the basis of the developed problem model, minimizing manufacturing energy consumption was used as the optimization goal and a simulated annealing algorithm was adopted to optimize the job-shop scheduling. A job scheduling scheme was generated randomly according to the coding rule. The job scheduling scheme generated randomly was used as the initial solution, a simulated annealing algorithm was adopted to achieve the optimization of manufacturing energy consumption and the optimal job-shop scheduling scheme was obtained. The feasibility and effectiveness of the proposed method was verified by simulation experiments.