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

作　　者：刘慧[1] 徐志涛 陈文飞 胡泽儒 Liu Hui;Xu Zhitao;Chen Wenfei;Hu Zeru(Nanjing University of Aeronautics and Astronautics,Nanjing 211106,China;Key Laboratory of Intelligent Decision and Digital Operations,Ministry of Industrial and Information Technology,Nanjing 211106,China;Ningbo Special Equipment Inspection&Research Institute,Ningbo 315211,China;Chongqing Branch of China Classification Society Certification Company,Chongqing 400011,China)

机构地区：[1]南京航空航天大学,江苏南京211106 [2]智能决策与数字化运营工业和信息化部重点实验室,江苏南京211106 [3]宁波市特种设备检验研究院,浙江宁波315211 [4]中国船级社质量认证公司重庆分公司,重庆400011

出　　处：《航空科学技术》2024年第2期47-57,共11页Aeronautical Science & Technology

基　　金：航空科学基金(2018ZE52057);江苏高校哲学社会科学研究重大项目(2023SJZD127);中央高校基本科研业务费专项资金(ND2023006,NJ2023027)。

摘　　要：降低航空零部件制造过程中的碳排放是实现航空工业绿色低碳发展的重要途径之一。本文针对航空零件加工多品种、小批量的特点,以及智能制造环境下人机协作的复杂性,以航空零件柔性作业车间为背景,构建了机器在不同工作状态下的能耗计算模型,建立了以最小化最大完工时间、机器总负载和机器能耗为目标的航空零件柔性作业车间多目标调度优化模型。首先,本文设计了4层编码方式以实现对机器和人员的合理分配;其次,为解决算法“早熟”问题并提高帕累托解的质量,设计了基于组合邻域搜索的快速非支配排序遗传算法(NSGA-Ⅱ)对模型进行求解;最后,通过具体案例验证了模型和算法的有效性。案例分析表明,通过本文提出的方法,可以在兼顾生产效率和加工成本的同时,实现航空零件加工过程的低碳排放。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 

分 类 号：V268.7[航空宇航科学与技术—航空宇航制造工程]