TY - GEN
T1 - An improved migrating bird optimization for transfer-robot scheduling in the flexible job shop
AU - Zhao, Lin
AU - Shen, Xinyi
AU - Wang, Kunshen
AU - Wang, Aimin
AU - Yu, Chenglong
N1 - Publisher Copyright:
© 2022 IEEE.
PY - 2022
Y1 - 2022
N2 - In order to comply with today's smart manufacturing and production automation trends, this paper studies the transfer-robot scheduling in the flexible job shop. In this problem, this paper considers that the transfer-robot handles activities for the entire production process, including the job leaving the loading station before processing, the job being transferred between machines, and the job returning to the unloading station after completion to make it more realistic. With the objective of minimizing the makespan of all jobs, a mixed integer programming model is established for this problem, and propose an improved migratory bird migration algorithm to solve the model combined with the mutation domain search strategy. Finally, the performance of the proposed algorithm is verified by the test examples MKI-MKIO, and compared with other algorithms. The experimental results show that the algorithm can effectively solve the research problem.
AB - In order to comply with today's smart manufacturing and production automation trends, this paper studies the transfer-robot scheduling in the flexible job shop. In this problem, this paper considers that the transfer-robot handles activities for the entire production process, including the job leaving the loading station before processing, the job being transferred between machines, and the job returning to the unloading station after completion to make it more realistic. With the objective of minimizing the makespan of all jobs, a mixed integer programming model is established for this problem, and propose an improved migratory bird migration algorithm to solve the model combined with the mutation domain search strategy. Finally, the performance of the proposed algorithm is verified by the test examples MKI-MKIO, and compared with other algorithms. The experimental results show that the algorithm can effectively solve the research problem.
KW - The flexible job shop
KW - migrating bird optimization
KW - scheduling
KW - transfer-robot
UR - http://www.scopus.com/inward/record.url?scp=85137758312&partnerID=8YFLogxK
U2 - 10.1109/ICMA54519.2022.9856007
DO - 10.1109/ICMA54519.2022.9856007
M3 - Conference contribution
AN - SCOPUS:85137758312
T3 - 2022 IEEE International Conference on Mechatronics and Automation, ICMA 2022
SP - 1398
EP - 1402
BT - 2022 IEEE International Conference on Mechatronics and Automation, ICMA 2022
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 19th IEEE International Conference on Mechatronics and Automation, ICMA 2022
Y2 - 7 August 2022 through 10 August 2022
ER -