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

Faruk Pasic, B. Wohlers, Stefan Dziwok, Matthias Becker, Matthias Heinrich
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引用次数: 5

Abstract

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.
基于kpi的啤酒酿造过程状态监测系统
啤酒的酿造过程是非常复杂的,因为它必须满足对产品质量以及工厂的可用性和性能的严格要求。因此,啤酒酿造过程的状态监测及其可视化发挥着重要作用,以便生产经理尽早发现所有相关偏差。虽然已经存在一般的状态监测过程,但目前还没有办法实现啤酒酿造领域的状态监测过程。为此,本文在一个工业项目中开发了一套啤酒酿造过程状态监测系统。该状态监测系统基于关键绩效指标(kpi),支持生产经理评估生产过程的实际状态。本文确定并讨论了一组特定于啤酒厂的kpi。此外,还介绍了特定于啤酒厂的仪表板中的软件体系结构和kpi的可视化。我们在不同的啤酒厂评估我们的概念,并报告我们学到的教训。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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