Governed by: Ministry of Industry and Information Technology of the People's Republic of China
Sponsored by: Northwestern Polytechnical University  Chinese Society Aeronautics and Astronautics
Address: Aviation Building,Youyi Campus, Northwestern Polytechnical University
Research on dynamic scheduling for aviation manufacturing enterprise based on the improved Hungary algorithm
Author:
Affiliation:

Xi''an Aeronautical University,Xi''an Aeronautical University,Xi‘an Aeronautical University

Clc Number:

TP278

Fund Project:

  • Article
  • |
  • Figures
  • |
  • Metrics
  • |
  • Reference
  • |
  • Related
  • |
  • Cited by
  • |
  • Materials
  • |
  • Comments
    Abstract:

    In view of the actual production situation of aviation manufacturing enterprise, in order to fulfill the multi-objective and real-time requirements of aviation parts in production scheduling, this paper proposd a new dynamic scheduling method, which included a weighting parameter adjustment model based on the technology of "exhaustive paired comparison" and a dispatching method based on improved Hungary algorithm. First, a flexible job shop dynamic scheduling mathematical model was bulit with the weighted sum of three factors, i.e., makespan, Scost of production and the energy consumption of production. Then, the weights were dynamically adjucted by using the technology of "exhaustive paired comparison" and thus the weights of each objective can be adjusted dynamically according to the the state of the workshop in real time. Finally, a improved Hungary algorithm was proposed to get the assignment scheme between Sworkpiece and machine to minimize the total objective. The simulation results show that the proposed dynamic scheduling method improvesSthe productivity of the aviation enterprise, reduce the cost of aviation enterprise production, and reduce the pollution to the environment and has a better comprehensive performance.

    Reference
    Related
    Cited by
Get Citation

Wang Jin, Wang Peng, Guo Fenghe. Research on dynamic scheduling for aviation manufacturing enterprise based on the improved Hungary algorithm[J]. Advances in Aeronautical Science and Engineering,2018,9(4):551-559

Copy
Share
Article Metrics
  • Abstract:
  • PDF:
  • HTML:
  • Cited by:
History
  • Received:March 25,2018
  • Revised:June 09,2018
  • Adopted:July 14,2018
  • Online: November 19,2018
  • Published: