TY - GEN
T1 - Selective Maintenance Decision for Multistate Manufacturing System Based on Extended State Task Network
AU - Chen, Z. X.
AU - He, Y. H.
AU - Zhao, Y. X.
AU - Han, X.
AU - He, Z.
N1 - Publisher Copyright:
© 2018 IEEE.
PY - 2018/7/2
Y1 - 2018/7/2
N2 - In actual production, the best maintenance operations of multistate manufacturing system cannot be implemented at intervals due to the limitation of maintenance costs. In this case, selective maintenance decisions are widely adopted. However, previous selective maintenance decisions only consider the basic reliability, which cannot fully describe the operating characteristics of multistate manufacturing system. Therefore, this paper proposes a selective maintenance decision with the goal of maximizing the mission reliability for multistate manufacturing system. Firstly, the new connotation of selective maintenance is defined to characterize the ability of a multistate manufacturing system to meet the variable task demand state. Secondly, the Extended State Task Network is proposed to characterize the operating characteristics of manufacturing system and the mission reliability model. Thirdly, under the condition of fixed maintenance cost, a selective maintenance decision method based on Particle Swarm Optimization algorithm is derived, which makes the mission reliability of next operation to be maximized. Finally, in order to verify the effectiveness of the proposed method, a case study of selective maintenance decision for a multistate cylinder head manufacturing system is given.
AB - In actual production, the best maintenance operations of multistate manufacturing system cannot be implemented at intervals due to the limitation of maintenance costs. In this case, selective maintenance decisions are widely adopted. However, previous selective maintenance decisions only consider the basic reliability, which cannot fully describe the operating characteristics of multistate manufacturing system. Therefore, this paper proposes a selective maintenance decision with the goal of maximizing the mission reliability for multistate manufacturing system. Firstly, the new connotation of selective maintenance is defined to characterize the ability of a multistate manufacturing system to meet the variable task demand state. Secondly, the Extended State Task Network is proposed to characterize the operating characteristics of manufacturing system and the mission reliability model. Thirdly, under the condition of fixed maintenance cost, a selective maintenance decision method based on Particle Swarm Optimization algorithm is derived, which makes the mission reliability of next operation to be maximized. Finally, in order to verify the effectiveness of the proposed method, a case study of selective maintenance decision for a multistate cylinder head manufacturing system is given.
KW - Extended state task network
KW - Mission reliability
KW - Multistate manufacturing systems
KW - Selective maintenance
UR - https://www.scopus.com/pages/publications/85061839612
U2 - 10.1109/IEEM.2018.8607692
DO - 10.1109/IEEM.2018.8607692
M3 - 会议稿件
AN - SCOPUS:85061839612
T3 - IEEE International Conference on Industrial Engineering and Engineering Management
SP - 1725
EP - 1729
BT - 2018 IEEE International Conference on Industrial Engineering and Engineering Management, IEEM 2018
PB - IEEE Computer Society
T2 - 2018 IEEE International Conference on Industrial Engineering and Engineering Management, IEEM 2018
Y2 - 16 December 2018 through 19 December 2018
ER -