{"title":"Operational Reliability Evaluation Method of Production Systems Based on Multistate Production Network","authors":"Xiaodong Wang, Jin-Cheng Wang, Tiejun Ma, Hangong Wang, Zhaojun Hao","doi":"10.1109/QR2MSE46217.2019.9021125","DOIUrl":null,"url":null,"abstract":"Accurate reliability evaluation method play a vital role in production scheduling and equipment science maintenance decisions. However, with the advent of Industry 4.0, the structure and function of modern industrial systems have become more complex. The traditional reliability evaluation method cannot accurately describe the operating state of the production system because it cannot accurately reflect the multistate characteristics. To solve this phenomenon, a novel operational reliability evaluation method for production systems was proposed. Firstly, according to the multistate characteristics of the production system, the new concept of operational reliability is proposed. Secondly, based on the operating characteristics of the production system, a multistate production network that comprehensively analyzes the machine performance state, task execution state and product quality state is proposed, to reduce the complexity of the operation. Third, an operational reliability evaluation process for multistate production systems is proposed based on multistate production network and Markov model. Finally, the effectiveness of the proposed method is demonstrated using the case of the ferrite phase shifting unit production system.","PeriodicalId":233855,"journal":{"name":"2019 International Conference on Quality, Reliability, Risk, Maintenance, and Safety Engineering (QR2MSE)","volume":"227 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2019 International Conference on Quality, Reliability, Risk, Maintenance, and Safety Engineering (QR2MSE)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/QR2MSE46217.2019.9021125","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
Accurate reliability evaluation method play a vital role in production scheduling and equipment science maintenance decisions. However, with the advent of Industry 4.0, the structure and function of modern industrial systems have become more complex. The traditional reliability evaluation method cannot accurately describe the operating state of the production system because it cannot accurately reflect the multistate characteristics. To solve this phenomenon, a novel operational reliability evaluation method for production systems was proposed. Firstly, according to the multistate characteristics of the production system, the new concept of operational reliability is proposed. Secondly, based on the operating characteristics of the production system, a multistate production network that comprehensively analyzes the machine performance state, task execution state and product quality state is proposed, to reduce the complexity of the operation. Third, an operational reliability evaluation process for multistate production systems is proposed based on multistate production network and Markov model. Finally, the effectiveness of the proposed method is demonstrated using the case of the ferrite phase shifting unit production system.