{"title":"The production instruction system for smart job shop","authors":"Chuang Wang, P. Jiang, T. Lu","doi":"10.1109/ICMA.2016.7558846","DOIUrl":null,"url":null,"abstract":"Nowadays, there has a challenge for manufacturing management and organization. The job shop can obtain large amounts of real-time production data in manufacturing procedure, there is a problem of the lack of extraction and processing a large amount of valuable information that the data contains. Moreover, in the process of job shop production operation, it is not conducive to the coordination and connection of production scheduling and production control system because of the lack of feedback of production status change information after executing production instructions. Whether a job shop could benign operation, the key is to make the “Plan” and “Production” closely. For solving this problem, a production instruction system for smart job shop is proposed. The production instruction system is mainly to complete four functions as: (1) creating production instructions, (2) issuing production instructions, (3) monitoring the production process, (4) and prompting production management. The production instruction system is a closed-loop production control system. What's more, several enabling technologies are described in detail, namely, the basic event extraction in manufacturing activities and the composite event extraction for triggering production instructions, event processing, XML-based production instruction, and the production instruction executor. The flexible automated production line is taken as an example to illustrate the implementation of the production instruction system.","PeriodicalId":260197,"journal":{"name":"2016 IEEE International Conference on Mechatronics and Automation","volume":"113 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2016-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"7","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2016 IEEE International Conference on Mechatronics and Automation","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICMA.2016.7558846","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 7
Abstract
Nowadays, there has a challenge for manufacturing management and organization. The job shop can obtain large amounts of real-time production data in manufacturing procedure, there is a problem of the lack of extraction and processing a large amount of valuable information that the data contains. Moreover, in the process of job shop production operation, it is not conducive to the coordination and connection of production scheduling and production control system because of the lack of feedback of production status change information after executing production instructions. Whether a job shop could benign operation, the key is to make the “Plan” and “Production” closely. For solving this problem, a production instruction system for smart job shop is proposed. The production instruction system is mainly to complete four functions as: (1) creating production instructions, (2) issuing production instructions, (3) monitoring the production process, (4) and prompting production management. The production instruction system is a closed-loop production control system. What's more, several enabling technologies are described in detail, namely, the basic event extraction in manufacturing activities and the composite event extraction for triggering production instructions, event processing, XML-based production instruction, and the production instruction executor. The flexible automated production line is taken as an example to illustrate the implementation of the production instruction system.