Supporting Product Development through Cross-Discipline Dependency-Modeling – Novel Approaches for Traceability-Usage

Beier, Grischa; Figge, Asmus; Müller, Robert; Rothenburg, Uwe; Stark, Rainer

doi:10.12720/lnit.1.1.21-28

Cited by 9 publications

(3 citation statements)

References 14 publications

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“…Nowadays, the RFLP method has been integrated into CATIA/ ENOVIA v6. This CAx/PDM system provides functionalities for storing, sharing and exchanging certain types of data and information among the engineers of different disciplines, such as the data of M-CAD and E-CAD [34]. But how to integrate the software source code remains a challenge.…”

Section: Rflp Methodsmentioning

confidence: 99%

Survey on mechatronic engineering: A focus on design methods and product models

Zheng

Bricogne

Duigou

et al. 2014

Advanced Engineering Informatics

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According to the principles of concurrent engineering and integrated design, engineers intend to develop a mechatronic system with a high level integration (functional and physical integrations) based on a well-organised design method. As a result, two main categories of issues have been pointed out: the process-based problems and the design data-related problems. Several approaches to overcome these issues have been put forward. To solve process-based problems, a dynamic perspective is generally used to present how collaboration can be improved during the mechatronic design. For design data-related problems, solutions generally come from product models and how to structure and store the data thanks to the functionality of data and documents management of Product Lifecycle Management systems. To be able to assess design methods and product models, some criteria are proposed in the paper and used to evaluate their added value on integrated design of mechatronic system. After this assessment, main outcomes which focus on the combination of design method and product model for improving the design of mechatronic system are finally discussed.

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Section: Rflp Methodsmentioning

confidence: 99%

Survey on mechatronic engineering: A focus on design methods and product models

Zheng

Bricogne

Duigou

et al. 2014

Advanced Engineering Informatics

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show abstract

“…This modeler allows the creation and analysis of links between isolated data artifacts ( Figure 5) to ensure consistency and to identify dependencies between data artifacts as well as to estimate the impact of engineering changes. Also other application scenarios like the Fault Tree Analysis, Failure Mode and Effects analysis, Pareto Analysis and tracelink based progress monitoring can be supported using the "ModelTracer" [6].…”

Section: Fig 4 Example For An Indicator Based Comparison Of Two Promentioning

confidence: 99%

Intelligent Information Technologies to Enable Next Generation PLM

Stark¹,

Damerau²,

Hayka³

et al. 2014

IFIP Advances in Information and Communication Technology

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Part 12: New PLMInternational audienceThe steadily growing complexity of products, interfacing processes, value creation networks and IT environments drive today’s PLM solutions to their limits. How does this effect engineers? Over 1,400 engineers from the German industry provided feedback in 2011 – with alarming but expected results. Almost two thirds of the respondents can only spend 20% or less time on average for core tasks such as development, design or validation. The study confirmed a lack of time for creative engineering activities caused by a massive coordination and communication overhead. Could engineers and designers be relieved from routine and administrative tasks in product lifecycle management by means of current “intelligent” technologies? In constant dialogue with industry and PLM experts, the Fraunhofer IPK and TUB have investigated the demand for intelligence in product lifecycle management. This paper reflects on the current situation of PLM and introduces a conceptual framework (Engineering Operating System) for next generation PLM. Subsequently, an Engineering Automation Capabilities (EAC) stair step model is proposed and selected research results for “intelligence” in PLM are presented

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“…Cross-disciplinary contexts can be placed in feature and definition substructure elements to connect features from different disciplinary areas. Cross-disciplinary modeling on physical level is an actual research issue [14] and future work will include further analysis at the Laboratory of Intelligent Engineering Systems.…”

Section: Information Content In Self-adaptive Generic Driving Objectsmentioning

confidence: 99%

Information Content Driven Model for Virtual Engineering Space

Horváth

Rudas

2014

APH

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Engineering practice is increasingly relied upon virtual technologies. Recent virtual solutions ensure integration of all engineering activities using system level computer representation of complex multidisciplinary engineering product. The authors have provided research results in developing strategies for leading engineering virtual technology, for more than twenty years. They analyzed paradigm shifts on the way to present virtual engineering systems and organized their work around their formerly published concept of Virtual Engineering Space (VES). These were preliminaries of the reported work in this paper. New method is introduced for structuring and representation of active driving knowledge content background (KCB) in engineering model. The purpose of KCB is to drive entity generation in the KCB extended industrial engineering model of a product system. This paper introduces handling contextual initiatives and the application of them to define KCB structure for the generation of self-adaptive generic objects explaining role and structure of information content, as well as, the related model driving mechanism. Appropriately organized and configured engineering models offer a means for integration of engineering model based industrial, research and higher education applications in common VES. Recent industrial professional engineering modeling systems offer capabilities for implementation of KCB and application relevant configuration, of modeling capabilities for disciplines and human roles.

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Supporting Product Development through Cross-Discipline Dependency-Modeling – Novel Approaches for Traceability-Usage

Cited by 9 publications

References 14 publications

Survey on mechatronic engineering: A focus on design methods and product models

Survey on mechatronic engineering: A focus on design methods and product models

Intelligent Information Technologies to Enable Next Generation PLM

Information Content Driven Model for Virtual Engineering Space

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