首页|面向低碳排放的航空零件柔性作业车间调度优化

面向低碳排放的航空零件柔性作业车间调度优化

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  • 国家科技期刊平台
  • NETL
  • NSTL
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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.
Aerial Accessory Flexible Job Shop Scheduling Optimization Considering Carbon Low Emissions
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.

aerial accessory manufacturingflexible job shop schedulingman-machine cooperationmulti-objective optimizationNSGA-Ⅱ algorithm

刘慧、徐志涛、陈文飞、胡泽儒

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南京航空航天大学,江苏 南京 211106

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

宁波市特种设备检验研究院,浙江 宁波 315211

中国船级社质量认证公司重庆分公司,重庆 400011

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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

航空科学基金江苏高校哲学社会科学研究重大项目中央高校基本科研业务费专项资金中央高校基本科研业务费专项资金

2018ZE520572023SJZD127ND2023006NJ2023027

2024

10.19452/j.issn1007-5453.2024.02.006

航空科学技术
中国航空研究院

航空科学技术

影响因子：0.24
ISSN：1007-5453
年,卷(期)：2024.35(2)
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