Mission reliability modeling for multi-station manufacturing system based on Quality State Task Network. (December 2017)

• Record Type: Journal Article
• Authors: He, Yihai; Gu, Changchao; Han, Xiao; Cui, Jiaming; Chen, Zhaoxiang
• Is Part Of: Proceedings of the Institution of Mechanical Engineers. Volume 231:Number 6(2017:Dec.)
• Page Start: 701
• Page End: 715
• Publication Date: 2017-12
• Subjects: Multi-station manufacturing system -- mission reliability -- reliability modeling -- Quality State Task Network; Reliability (Engineering) -- Mathematical models -- Periodiclals; Risk assessment -- Mathematical models -- Periodicals; Engineering design -- Mathematical models -- Periodicals; 620.00452
• DOI: 10.1177/1748006X17728599
• Languages: English
• ISSNs: 1748-006X

Abstract

Multi-state-oriented mission reliability modeling is the premise of intelligent scheduling and predictive maintenance for the multi-station manufacturing system. Previous studies on reliability modeling for manufacturing system could only provide a static reliability model based on the basic reliability of the components of manufacturing systems, which cannot support reliability-oriented production scheduling and preventive maintenance effectively. To resolve this dilemma, a multi-state-oriented mission reliability modeling for multi-station manufacturing system is proposed. First, the mapping relationship between the produced product reliability and mission reliability of the manufacturing system is proposed as the basis for modeling, and the connotation of mission reliability is elaborated by analyzing the polymorphisms of the multi-station manufacturing system. Second, a graphical representation to improve the state transparency named as Quality State Task Network is proposed based on production data by integrating the variability of task-demands propagation as well as the multi-state in material quality and machine performance. Third, the mission reliability modeling method based on the Quality State Task Network is proposed. Finally, a case study of cylinder-head manufacturing system has been applied to validate the proposed model.