Applying Dynamic Programming to Test Case Scheduling for Automated Production Systems

2020 ◽  
pp. 3-20
Author(s):  
Kathrin Land ◽  
Birgit Vogel-Heuser ◽  
Suhyun Cha
Keyword(s):  
Dynamic Programming ◽  
Production Systems ◽  
Test Case ◽  
Automated Production

scholarly journals Reducing the Costs of Automated Production Systems

2019 ◽  
Vol 23 (2) ◽  
pp. 44-47
Author(s):  
Konstantin Novikov ◽  
Pavel Vranek ◽  
Jana Kleinova ◽  
Michal Šimon
Keyword(s):  
Production Systems ◽  
Automated Production

Assessment of variance & distribution in data for effective use of statistical methods for product quality prediction

2018 ◽  
Vol 66 (4) ◽  
pp. 344-355 ◽  
Author(s):  
Iris Weiß ◽  
Birgit Vogel-Heuser
Keyword(s):  
Data Mining ◽  
Product Quality ◽  
Statistical Methods ◽  
Analysis Of Variance ◽  
Production System ◽  
Production Systems ◽  
High Potential ◽  
Quality Prediction ◽  
Automated Production ◽  
Effective Use

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.

conexing/conexing: Simulation total – Internet as Infochannel

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.

Towards verified continuous integration in the engineering of automated production systems

2018 ◽  
Vol 66 (10) ◽  
pp. 784-794 ◽  
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.

Cognitive Control Technology for a Self-Optimizing Robot Based Assembly Cell

2008 ◽  
Author(s):  
Christian Brecher ◽  
Tobias Kempf ◽  
Werner Herfs
Keyword(s):  
Cognitive Control ◽  
Production Systems ◽  
Research Approach ◽  
Labor Costs ◽  
Automated Production ◽  
Production Processes ◽  
Assembly Cell ◽  
The Face ◽  
Planning Orientation ◽  
Automation Technology

In the face of global competition there is a great danger for countries with high labor costs (e.g. Germany) to lose more and more production plants to low-wage countries. Almost inevitably there will be a relocation of after-sales services as well as of research and development. Eventually this will cause a significant decline of wealth. For this reason especially high-wage countries are always striving for higher productivity of production processes. On the other hand the products have to be of high-end quality to ensure an advantage in the market. Thus there is an obvious dilemma between planning-orientation and value-orientation which has to be resolved. This could possibly be obtained by shifting planning efforts to the runtime system and at the same time enabling the system to adapt to changing requests and circumstances. In order to get there, automation technology is definitely playing a key role in present-day highly automated production processes. Unfortunately classical automation technology has not been supporting this kind of self-organizing, self-controlling and self-optimizing behavior. This paper introduces an approach to make production systems more “intelligent” based on the idea of a cognitive control architecture. At first the motivation and the research vision are introduced followed by an outline of the research approach. As a concrete example of an application a robot based assembly cell is described. The methods used and insights gained so far are presented in the second part, followed by an outlook towards future activities.

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