Infrared and Laser Engineering, Volume. 51, Issue 11, 20220510(2022)

Research on inheritance reconfiguration scheduling of virtual manufacturing cell based on improved genetic algorithm

Lin Zhao1, Aimin Wang2、*, Kunsheng Wang1, and Chenglong Yu3
Author Affiliations
  • 1China Aerospace Academy of Systems Science and Engineering, Beijing 100048, China
  • 2Department of Mechanical Engineering, Beijing Institute of Technology, Beijing 100081, China
  • 3Beijing Institute of Computer Technology and Application, Beijing 100854, China
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    Aiming to the demand for efficiency and flexibility under multi variety and variable batch production and the problem that existing manufacturing units were difficult to support high quality consistency and efficiency of key parts under fragmented orders, a Cmax and minimizing the difference of virtual manufacturing cell composition before and after reconfiguration, an improved genetic algorithm based on inherited reconfiguration decoding strategy was proposed, and a similarity calculation method between orders under known cell configuration and the original manufacturing cell was designed. It ensures the maximization of the manufacturing cell and carries out reconstruction by inheriting the configuration of the original manufacturing cell. Finally, the validity and feasibility of the proposed model and algorithm are verified by the actual production data of a photoelectric observation product.

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    Lin Zhao, Aimin Wang, Kunsheng Wang, Chenglong Yu. Research on inheritance reconfiguration scheduling of virtual manufacturing cell based on improved genetic algorithm[J]. Infrared and Laser Engineering, 2022, 51(11): 20220510

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    Paper Information

    Category: Optical fabrication

    Received: Apr. 21, 2022

    Accepted: --

    Published Online: Feb. 9, 2023

    The Author Email: Wang Aimin (wangam@bit.edu.cn)

    DOI:10.3788/IRLA20220510

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