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Research Scheduling Problem of Job-Shop Robotic Manufacturing Cell with Several Robots

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Intelligent Robotics and Applications (ICIRA 2014)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 8918))

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Abstract

To solve the job-shop scheduling problem of robotic manufacturing cell with multiple robots, population initialization method and neighborhood search mechanism of its solution genetic algorithm are studied. The objective is to determine a schedule of machine and transport operations as well as assignment of robots to transport operation with minimize the maximum completion time. To improve the quality of the initial population, heuristic initialization method based on 3 vectors scheduling combining dispatching rules is proposed. Neighborhood structure is constructed based on the critical path. Experimental results show that the algorithm is effective.

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References

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Author information

Authors and Affiliations

  1. Key Laboratory of Computer Integrated Manufacturing System of Guangdong Province Institute of Mechanical& Electronic Engineering, Guangdong University of Technology, Guangzhou, China

    Yujun Yang, Chuanze Long & Yu Tao

Authors
  1. Yujun Yang
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  2. Chuanze Long
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  3. Yu Tao
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Editor information

Editors and Affiliations

  1. School of Mechanical and Automobile Engineering, South China University of Technology, Wushan Rd. 381, Tianhe District, 510641, Guangzhou, China

    Xianmin Zhang , Zhong Chen  & Nianfeng Wang ,  & 

  2. Group of Intelligent System and Biomedical Robotics, School of Creative Technologies, University of Portsmouth, Portsmouth, United Kingdom

    Honghai Liu

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© 2014 Springer International Publishing Switzerland

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Yang, Y., Long, C., Tao, Y. (2014). Research Scheduling Problem of Job-Shop Robotic Manufacturing Cell with Several Robots. In: Zhang, X., Liu, H., Chen, Z., Wang, N. (eds) Intelligent Robotics and Applications. ICIRA 2014. Lecture Notes in Computer Science(), vol 8918. Springer, Cham. https://doi.org/10.1007/978-3-319-13963-0_12

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  • DOI: https://doi.org/10.1007/978-3-319-13963-0_12

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-13962-3

  • Online ISBN: 978-3-319-13963-0

  • eBook Packages: Computer ScienceComputer Science (R0)

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