Development of PLC-Based Software for Increasing the Dependability of Production Automation Systems

Schütz, Daniel; Wannagat, Andreas; Legat, Christoph; Vogel‐Heuser, Birgit

doi:10.1109/tii.2012.2229285

Cited by 54 publications

(34 citation statements)

References 49 publications

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“…Section 5.1 according to [16]) providing the faulty information or from a redundancy model designed preruntime and calculated during runtime using other process information (cp. Section 5.3, [17]). Both scenarios will be discussed and evaluated with the metrics to be introduced during the evaluation examples.…”

Section: Fault Recovery and Restartability In Apsmentioning

confidence: 99%

Fault Handling in PLC-Based Industry 4.0 Automated Production Systems as a Basis for Restart and Self-Configuration and Its Evaluation

Vogel‐Heuser¹,

Rösch²,

Fischer³

et al. 2016

JSEA

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Industry 4.0 and Cyber Physical Production Systems (CPPS) are often discussed and partially already sold. One important feature of CPPS is fault tolerance and as a consequence self-configuration and restart to increase Overall Equipment Effectiveness. To understand this challenge at first the state of the art of fault handling in industrial automated production systems (aPS) is discussed as a result of a case study analysis in eight companies developing aPS. In the next step, metrics to evaluate the concept of self-configuration and restart for aPS focusing on real-time capabilities, fault coverage and effort to increase fault coverage are proposed. Finally, two different lab size case studies prove the applicability of the concepts of self-configuration, restart and the proposed metrics.

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Section: Fault Recovery and Restartability In Apsmentioning

confidence: 99%

Fault Handling in PLC-Based Industry 4.0 Automated Production Systems as a Basis for Restart and Self-Configuration and Its Evaluation

Vogel‐Heuser¹,

Rösch²,

Fischer³

et al. 2016

JSEA

Self Cite

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“…First tool prototypes are available using objectoriented mechanisms and integrating the UML into traditional IEC 61131-3 environments [17] being the programming and development standard for manufacturing systems since years. Furthermore, service-oriented approaches are well applied in manufacturing systems on the level of sensor and actuator integration, the so-called device description languages [2,3] as well as on the level of dynamic adaptation during run-time using agent-based approaches to replace sensors by a soft sensor [16] or adjust control behaviour [4] in case of failures. Nevertheless, a major drawback still exists: unstructured legacy code from existing plants and mechatronic libraries is frequently reused.…”

Section: Pick and Place Unitmentioning

confidence: 99%

“…Pythia 16 utilises various sources of information obtained via product line analysis to improve the predictive power of state-of-the-art prediction models for product line engineering. A product line dashboard that aggregates, integrates, and visualises organisational, architectural, and implementationrelated information is developed to support decisions such as whether to add a feature, remove a feature, or alter the organisation, architecture, or implementation (refactoring).…”

Section: Individual Project Goalsmentioning

confidence: 99%

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Design for future: managed software evolution

et al. 2014

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Innovative software engineering methodologies, concepts and tools which focus on supporting the ongoing evolution of complex software, in particular regarding its continuous adaptation to changing functional and quality requirements as well as platforms over a long period are required. Supporting such a co-evolution of software systems along with their environment represents a very challenging undertaking, as it requires a combination or even integration of approaches and insights from different software engineering disciplines. To meet these challenges, the Priority Programme 1593 Design for Future-Managed Software Evolution has been established, funded by the GermanWe would like to thank Zoya Durdik, Gregor Engels, Christof Momm, Andreas Rausch, and Stefan Sauer for their contributions and all projects of the priority programme for providing details on their goals and collaborations. Research Foundation, to develop fundamental methodologies and a focused approach for long-living software systems, maintaining high quality and supporting evolution during the whole life cycle. The goal of the priority programme is integrated and focused research in software engineering to develop methods for the continuous evolution of software and software/hardware systems for making systems adaptable to changing requirements and environments. For evaluation, we focus on two specific application domains: information systems and production systems in automation engineering. In particular two joint case studies from these application domains promote close collaborations among the individual projects of the priority programme. We consider several research topics that are of common interest, for instance coevolution of models and implementation code, of models and tests, and among various types of models. Another research topic of common interest are run-time models to automatically synchronise software systems with their abstract models through continuous system monitoring. Both concepts, co-evolution and run-time models contribute to our vision to which we refer to as knowledge carrying software. We consider this as a major need for a long life of such software systems.

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“…In times of modern globalization and development of commerce, followed by a need of fulfilling more and more restrictive conditions of acceptance by a client, almost any significant manufacturing company must automate its production processes [1]. Modern and specialized machines and devices, installed widely, are usually sold together with a dedicated computer software.…”

Section: Introductionmentioning

confidence: 99%

Methodology supporting production control in a foundry applying modern DISAMATIC molding line

Sika

Popielarski

2017

MATEC Web Conf.

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Abstract. The paper presents methodology of production control using statistical methods in foundry conditions, using the automatic DISAMATIC molding line. The authors were inspired by many years of experience in implementing IT tools for foundries. The authors noticed that there is a lack of basic IT tools dedicated to specific casting processes, that would greatly facilitate their oversight and thus improve the quality of manufactured products. More and more systems are installed in the ERP or CAx area, but they integrate processes only partially, mainly in the area of technology design and business management from finance and control. Monitoring of foundry processes can generate a large amount of processrelated data. This is particularly noticeable in automated processes. An example is the modern DISAMATIC molding line, which integrates several casting processes, such as mold preparation, assembly, pouring or shake out. The authors proposed a methodology that supports the control of the above-mentioned foundry processes using statistical methods. Such an approach can be successfully used, for example, during periodic external audits. The mentioned methodology in the innovative DISAMProdC computer tool was implemented.

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Development of PLC-Based Software for Increasing the Dependability of Production Automation Systems

Cited by 54 publications

References 49 publications

Fault Handling in PLC-Based Industry 4.0 Automated Production Systems as a Basis for Restart and Self-Configuration and Its Evaluation

Fault Handling in PLC-Based Industry 4.0 Automated Production Systems as a Basis for Restart and Self-Configuration and Its Evaluation

Design for future: managed software evolution

Methodology supporting production control in a foundry applying modern DISAMATIC molding line

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