基于NSGA-II算法的柔性流水车间优化调度模型的构建与应用

作者：Zhang Huanhuan; Li Jigeng; Hong Mengna; Man Yi^*

来源：Transactions of China Pulp and Paper, 2020, 35(4): 57-62.

DOI：10.11981/j.issn.1000-6842.2020.04.57

• Flow-shop
• Multi-objective optimization
• NSGA-II
• Production scheduling

In order to solve the problem of efficient optimized production scheduling in papermaking enterprises, the machine operation rate should be the highest, the product switching times, and the time of supplying products should be met the requirement of customer. A two-stage flexible flow-shop scheduling optimization model with cost minimization and make span minimization as optimization objectives was constructed and a fast non-dominated genetic algorithm (NSGA-II) was used to solve the model. The results showed that compared with manual production scheduling, the production scheduling results obtained by NSGA-II shorten the makespan by about 6.5% and reduce the production cost by about 4.7%. ? 2020, China National Pulp and Paper Research Institute(CNPPRI). All right reserved.

• 单位
  华南理工大学