A KPI-based Condition Monitoring System for the Beer Brewing Process

被引:0
作者
Pasic, Faruk [1 ]
Wohlers, Benedict [1 ]
Dziwok, Stefan [1 ]
Becker, Matthias [1 ]
Heinrich, Matthias [2 ]
机构
[1] Fraunhofer IEM, Software Engn & IT Secur, Paderborn, Germany
[2] GEA Separator Grp GmbH, Proc Business Modeling, Oelde, Germany
来源
2019 24TH IEEE INTERNATIONAL CONFERENCE ON EMERGING TECHNOLOGIES AND FACTORY AUTOMATION (ETFA) | 2019年
关键词
Condition Monitoring; Key Performance Indicators; Production Systems; Microservice Architecture;
D O I
10.1109/etfa.2019.8869184
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
The process of beer brewing is very complex as it has to fulfill strict demands on the product quality as well as on the availability and the performance of the plant. As a consequence, a condition monitoring of the beer brewing process and its visualization plays an important role such that all relevant deviations are detected as early as possible by the production manager. While a general process for condition monitoring already exists, there currently exists no approach to realize this process for the domain of beer brewing. Therefore, this paper presents a condition monitoring system for the beer brewing process developed in an industrial project. This condition monitoring system is based on Key Performance Indicators (KPIs) that support the production manager in evaluating the actual state of the production processes. A set of brewery-specific KPIs are determined and discussed in the paper. In addition, software architecture and visualization of the KPIs in a brewery-specific dashboard are presented. We evaluate our concept at various beer breweries and report about lessons that we have learned.
引用
收藏
页码:1469 / 1472
页数:4
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