Mission reliability evaluation based on operational quality data for multistate manufacturing systems. Issue 6 (19th March 2019)

• Record Type: Journal Article
• Authors: Chen, Zhaoxiang; He, Yihai; Zhao, Yixiao; Han, Xiao; He, Zhen; Xu, Yu; Zhang, Anqi
• Is Part Of: International journal of production research. Volume 57:Issue 6(2019)
• Page Start: 1840
• Page End: 1856
• Publication Date: 2019-03-19
• Subjects: Multistate manufacturing systems -- mission reliability -- reliability evaluation -- operational quality data -- ESTN; Factory management -- Periodicals; 658.57
• DOI: 10.1080/00207543.2018.1508906
• Languages: English
• ISSNs: 0020-7543

Abstract

Abstract : Modern and intelligent manufacturing systems have a prominent multistate feature. However, previous studies of reliability analysis of multistate manufacturing systems mostly focused on the basic reliability of manufacturing systems but disregarded their operating characteristics, which has hindered the development of Prognostics and Health Management technique for intelligent manufacturing systems. Therefore, an evaluation approach of mission reliability for multistate manufacturing systems based on operational quality data is proposed in this paper. First, from the systematic viewpoint of the composition and operational principle of the manufacturing system, the relationship among production task execution state, production equipment degradation state, and produced product quality state is expounded, and the connotation of the mission reliability of multistate manufacturing systems is defined. Second, an extended state task network (ESTN) is presented to organise operational quality data by considering the quality state of work in process (WIP). Third, a fusion model of operational quality data for manufacturing systems is established with the aid of the ESTN, and an operational quality data-oriented evaluation method of mission reliability is been put forward. Finally, a case study of a manufacturing system for a cylinder head is conducted to verify the proposed approach.