北京航空航天大学学报 ›› 2016, Vol. 42 ›› Issue (10): 2139-2145.doi: 10.13700/j.bh.1001-5965.2015.0632

• 论文 • 上一篇    下一篇

面向飞机装配的生产规划与调度集成优化研究

赵利民   

  1. 西北工业大学 机电学院, 西安 710072
  • 收稿日期:2015-09-24 出版日期:2016-10-20 发布日期:2016-02-18
  • 通讯作者: 赵利民,Tel.:029-88460773,E-mail:zhaolimin_nwpu@126.com E-mail:zhaolimin_nwpu@126.com
  • 作者简介:赵利民,男,博士研究生。主要研究方向:飞机装配与管理。Tel.:029-88460773,E-mail:zhaolimin_nwpu@126.com
  • 基金资助:
    国家科技支撑计划(2011BAF13B00)

Production plan and integrated dispatch optimization of aircraft digital assembly

ZHAO Limin   

  1. School of Mechanical Engineering, Northwestern Polytechnical University, Xi'an 710072, China
  • Received:2015-09-24 Online:2016-10-20 Published:2016-02-18
  • Supported by:
    National Key Technology Research and Development Program of China (2011BAF13B00)

摘要: 飞机装配具有环节多、周期长及流程复杂等特点,合理地规划各环节的工作,调度装配过程涉及的资源,对于保证飞机装配的质量和效率具有十分重要的意义。基于飞机装配流程的特点及影响飞机装配效率的主要因素,提出了飞机装配生产规划方法。考虑飞机装配过程中存在的动态问题,基于蚁群算法建立了装配资源的调度集成优化模型,定义了构造图路径与装配作业周期间的映射关系,给出了装配作业周期映射的基本步骤,通过优化人工蚁路径实现了资源调度的优化。

关键词: 飞机装配, 生产计划, 调度优化, 蚁群算法, 动态资源问题

Abstract: The aircraft assembly is a long-time complex procedure with multiple steps. In consideration of quality and efficiency demands of aircrafts, it is necessary to reasonably plan the steps and schedule resources, such as devices and workers, in assembly process. Production planning and resource scheduling in aircraft assembly were analyzed in order to change the current inefficient assembly management state. A production planning method was proposed considering the characteristics of aircraft assembly and factors affecting assembly efficiency. As resource scheduling is relatively complex due to the existence of dynamic condition in assembly procedure, an integrated dispatch optimization method, based on ant colony algorithm, was developed for resource scheduling. Mapping relationships between structure chart and assembly cycle are defined to abstract the issue and give path reference for artificial ants, and the basic steps of assembly cycle mapping were also given. By optimizing the move path of artificial ants, resource scheduling could be optimized.

Key words: aircraft assembly, production plan, dispatch optimization, ant colony algorithm, dynamic resource problems

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