计算机集成制造系统 ›› 2014, Vol. 20 ›› Issue (1): 28-.DOI: 10.13196/j.cims.2014.01.zhangyingfeng.0028.9.2014014

• 论文 • 上一篇    下一篇

实时生产信息驱动的装配活动智能导航方法

张映锋,杨腾,王军强,孙树栋   

  1. 西北工业大学现代设计与集成制造技术教育部重点实验室
  • 出版日期:2014-01-25 发布日期:2014-01-25
  • 基金资助:
    国家863计划资助项目(2012AA040909)。

Intelligent navigation of assembly activities based on real-time manufacturing information

  • Online:2014-01-25 Published:2014-01-25
  • Supported by:
    Project supported by the National Natural Science Foundation,China(No.51175435), and the National High-Tech. R&D Program,China(No.2012AA040909).

摘要: 为了提高装配过程的透明性和装配任务的实时可优化性,以装配站为研究对象,提出一种实时信息驱动的装配活动智能导航方法。结合无线射频识别技术,设计了实时操作引导、工序间协作生产、任务队列优化三种服务为装配站提供导航。其中,实时操作引导服务用于自动监控物料和在制品的实时状态,进而基于该实时状态信息引导员工进行正确的装配操作;工序间协作生产信息服务用于建立上下游装配工序间的动态联系和共享协作生产信息;在任务队列优化服务中,设计了一种启发式调度方法,基于装配工序的实时执行状态信息,以最小化加权总提前时间和滞后时间为目标,对装配站上的未执行任务队列进行优化排序。通过原型系统验证了所提方法和导航服务的可行性。

关键词: 实时生产信息|智能导航|装配活动|装配站|操作引导|协作生产|任务队列优化

Abstract: To improve the transparency and real-time optimization of assembly process, the basic assembly unit-assembly station was taken as the research object to propose an intelligent navigation method driven by realtime information. Combining with Radio Frequency IDentification (RFID) technology, three services included real-time assembly operating guidance, collaborative manufacturing between assembly stations and real-time optimization of task queue were designed to provide navigation for assembly station. Real-time assembly operating guidance service was used to monitor the status of the materials and Work In Progress (WIP) items and provide operation details and instructions of the executed assembly activities. Collaborative manufacturing service between assembly stations was responsible for transmitting and sharing the collaborative assembly information among the stations. In the real-time optimization of task queue service, a heuristic method was designed to re-queue the tasks of the assembly station by minimizing total weighted earliness and tardiness based on the real-time execution information. A case study was given to verify the presented method and navigation services.

Key words: real-time production information|intelligent navigation|assembly activity|assembly station|operating guidance|collaborative manufacturing|task queue optimization