TY - GEN
T1 - A Collaborative Resequencing Optimization Method for Multi-stage Automotive Production Line Considering Emergency order
AU - Zhang, Jing
AU - Li, Congbo
AU - Tang, Ying
AU - Yang, Miao
AU - Zhao, De
N1 - Publisher Copyright:
© 2022 IEEE.
PY - 2022
Y1 - 2022
N2 - In multi-stage automotive production lines (MSAPLs), unforeseen disturbance events such as emergency order can disturb the initial production plan, leading to higher production cost and order delivery delay. To address this issue, an emergency order-oriented collaborative resequencing optimization method for MSAPL based on improved multi-objective particle swarm optimization algorithm (MOPSO) is proposed in this paper. First, a resequencing strategy is proposed for automotive orders based on their production status. Then, a collaborative resequencing mathematical model for MSAPL that selects the production cost and order delivery delay as the objectives is established, and an improved MOPSO is developed to optimize the mathematical model. Finally, a case study is implemented by citing a MSAPL as the example, which verifies the effectiveness and superiority of the proposed method.
AB - In multi-stage automotive production lines (MSAPLs), unforeseen disturbance events such as emergency order can disturb the initial production plan, leading to higher production cost and order delivery delay. To address this issue, an emergency order-oriented collaborative resequencing optimization method for MSAPL based on improved multi-objective particle swarm optimization algorithm (MOPSO) is proposed in this paper. First, a resequencing strategy is proposed for automotive orders based on their production status. Then, a collaborative resequencing mathematical model for MSAPL that selects the production cost and order delivery delay as the objectives is established, and an improved MOPSO is developed to optimize the mathematical model. Finally, a case study is implemented by citing a MSAPL as the example, which verifies the effectiveness and superiority of the proposed method.
UR - http://www.scopus.com/inward/record.url?scp=85142749729&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85142749729&partnerID=8YFLogxK
U2 - 10.1109/SMC53654.2022.9945428
DO - 10.1109/SMC53654.2022.9945428
M3 - Conference contribution
AN - SCOPUS:85142749729
T3 - Conference Proceedings - IEEE International Conference on Systems, Man and Cybernetics
SP - 1224
EP - 1229
BT - 2022 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2022 - Proceedings
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2022 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2022
Y2 - 9 October 2022 through 12 October 2022
ER -