TY - GEN
T1 - An integrated multi-objective production scheduling model considering the production quality state
AU - Han, Xiao
AU - He, Yihai
AU - Chen, Zhaoxiang
N1 - Publisher Copyright:
© 2017 IEEE.
PY - 2017/10/20
Y1 - 2017/10/20
N2 - The production quality state is the specificembodiment of the implementation effect of the production tasks, which comprehensively characterizes the machining precision of the raw materials in each manufacturing process. Therefore, the production quality state of the manufacturing process has a decisive impact on the reliability of the finished product. However, there are few studies on multi-objective job-shop optimization scheduling that take the production quality state as a constraint. In this paper, a method of deviation flow model to quantify the quality state of the manufacturing process is proposed firstly. Then, a multi-objective production scheduling model considering the production quality state, the makespan time and the performance state of manufacturing equipment is proposed. Thirdly, a scheduling decision on workstation based on heuristic algorithm is introduced. Finally, the model is verified by a case study of a car engine production task scheduling optimization.
AB - The production quality state is the specificembodiment of the implementation effect of the production tasks, which comprehensively characterizes the machining precision of the raw materials in each manufacturing process. Therefore, the production quality state of the manufacturing process has a decisive impact on the reliability of the finished product. However, there are few studies on multi-objective job-shop optimization scheduling that take the production quality state as a constraint. In this paper, a method of deviation flow model to quantify the quality state of the manufacturing process is proposed firstly. Then, a multi-objective production scheduling model considering the production quality state, the makespan time and the performance state of manufacturing equipment is proposed. Thirdly, a scheduling decision on workstation based on heuristic algorithm is introduced. Finally, the model is verified by a case study of a car engine production task scheduling optimization.
KW - deviation flow model
KW - multi-objective
KW - production quality state
KW - production scheduling
UR - https://www.scopus.com/pages/publications/85039969107
U2 - 10.1109/PHM.2017.8079231
DO - 10.1109/PHM.2017.8079231
M3 - 会议稿件
AN - SCOPUS:85039969107
T3 - 2017 Prognostics and System Health Management Conference, PHM-Harbin 2017 - Proceedings
BT - 2017 Prognostics and System Health Management Conference, PHM-Harbin 2017 - Proceedings
A2 - Zhang, Bin
A2 - Peng, Yu
A2 - Liao, Haitao
A2 - Liu, Datong
A2 - Wang, Shaojun
A2 - Miao, Qiang
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 8th IEEE Prognostics and System Health Management Conference, PHM-Harbin 2017
Y2 - 9 July 2017 through 12 July 2017
ER -