A DATABASE TO SUPPORT THE DESIGN OF AUTOMATED PRODUCTION SYSTEMS

AbstractData mining in automated production systems provide high potential to increase the Overall Equipment Effectiveness. Nevertheless, data of such machines/plants include specific characteristics regarding the variance and distribution of the dataset. For modelling product quality prediction, these characteristics have to be analysed to interpret the results correctly. Therefore, an approach for the analysis of variance and distribution of datasets is proposed. The evaluation of this approach validates the developed guidelines, which identify the reasons for inconsistent prediction results based on two different datasets of the same production system.

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conexing/conexing: Simulation total – Internet as Infochannel

wt Werkstattstechnik online ◽

10.37544/1436-4980-2015-09-93 ◽

2015 ◽

Vol 105 (09) ◽

pp. 651-656

Author(s):

A. König ◽

T. Benkner ◽

J.-P. Schulz

Keyword(s):

Planning Process ◽

Production Systems ◽

System Component ◽

File Format ◽

Web Portal ◽

New Approach ◽

Automated Production ◽

Virtual Commissioning ◽

System Components ◽

Engineering Information

Der Fachartikel beschreibt ein neues Konzept zur interdisziplinären, gewerkeübergreifenden Zusammenarbeit von Unternehmen im Planungsprozess von automatisierten Produktionssystemen. Der Ansatz „conexing“ definiert ein planungsübergreifendes Dateiformat auf Basis des AutomationML-Standards für Anlagenkomponenten sowie eine Austauschschnittstelle mittels eines Webportals. Die hier vorgestellte Methodik erlaubt den Austausch von Komponenten inklusive ihres logischen Verhaltens für die virtuelle Inbetriebnahme zwischen unterschiedlichen Engineering-Werkzeugen.   This article describes a new approach to interdisciplinary – cross-trade business cooperation in the planning process of automated production systems. The conexing approach defines so called SmartComponent, as a file format for system components based on the AutomationML standards for the exchange of plant engineering information. These SmartComponents include detailed system component information as well as their logical behavior. The presented approach additionally allows an exchange of SmartComponents between different engineering tools for virtual commissioning via a web portal.

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Towards verified continuous integration in the engineering of automated production systems

at - Automatisierungstechnik ◽

10.1515/auto-2017-0130 ◽

2018 ◽

Vol 66 (10) ◽

pp. 784-794 ◽

Cited By ~ 1

Author(s):

Jakob Mund ◽

Safa Bougouffa ◽

Iman Badr ◽

Birgit Vogel-Heuser

Keyword(s):

Quality Assurance ◽

Software Engineering ◽

System Integration ◽

Research Agenda ◽

Production Systems ◽

Individual Quality ◽

Quality Model ◽

Automated Production ◽

Continuous Integration ◽

Verification Techniques

Abstract Continuous integration (CI) is widely used in software engineering. The observed benefits include reduced efforts for system integration, which is particularly appealing for engineering automated production systems (aPS) due to the different disciplines involved. Yet, while many individual quality assurance means for aPS have been proposed, their adequacy for and systematic use in CI remains unclear. In this article, the authors provide two key contributions: First, a quality model for a model-based engineering approach specifically developed for aPS. Based thereon, a discussion of the suitable verification techniques for aPS and their systematic integration in a CI process are given. As a result, the paper provide a blueprint to be further studied in practice, and a research agenda for quality assurance of aPS.

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