航空科学技术2024，Vol.35Issue(2)：47-57,11.DOI:10.19452/j.issn1007-5453.2024.02.006
面向低碳排放的航空零件柔性作业车间调度优化
Aerial Accessory Flexible Job Shop Scheduling Optimization Considering Carbon Low Emissions
摘要
Abstract
Carbon emission reduction in aerial accessory manufacturing is one of the main ways to achieve green aviation industry.In this paper,it consider the multi-specification and small-batch production as well as the cooperation between the workforce and the machine for low-carbon scheduling optimization in aerial accessory flexible job shop.The proposed model aims to minimize the maximum makespan,total machine load and energy consumption considering the energy consumption of the machines under various working consideration.Firstly,a four layer coding method is used to realize the rational allocation of machines and personnel.Secondly,in order to avoid the premature problem of the algorithm and obtain high-quality solutions,the non-dominated sorting genetic algorithm-Ⅱ(NSGA-Ⅱ)with neighborhood search was proposed.Finally,the mathematical model and the modified NSGA-Ⅱ are verified using a real-world case.The results show that the proposed approach is able to generate low-carbon solutions for aerial accessory flexible job shop scheduling while promising a high manufacturing efficiency and a low manufacturing cost.关键词
航空零件制造/柔性作业车间调度/人机协作/多目标优化/NSGA-Ⅱ算法Key words
aerial accessory manufacturing/flexible job shop scheduling/man-machine cooperation/multi-objective optimization/NSGA-Ⅱ algorithm分类
航空航天引用本文复制引用
刘慧,徐志涛,陈文飞,胡泽儒..面向低碳排放的航空零件柔性作业车间调度优化[J].航空科学技术,2024,35(2):47-57,11.基金项目
航空科学基金(2018ZE52057) （2018ZE52057）
江苏高校哲学社会科学研究重大项目(2023SJZD127) （2023SJZD127）
中央高校基本科研业务费专项资金(ND2023006,NJ2023027)Aeronautical Science Foundation of China(2018ZE52057) （ND2023006,NJ2023027）
Major Program of the Philosophy and Social Scienc-es in Jiangsu Universities(2023SJZD127) （2023SJZD127）
Fundamental Research Funds for the Central Universities(ND2023006,NJ2023027) （ND2023006,NJ2023027）
