Integration of Software Tools with Heterogeneous Data Structures in Production Plant Lifecycles

Brecher, Christian; Özdemir, Denis; Feng, Juejing; Herfs, Werner; Fayzullin, Kamil; Hamadou, Mehdi; Müller, Andreas W.

doi:10.3182/20100701-2-pt-4011.00010

Cited by 6 publications

(9 citation statements)

References 13 publications

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“…Much of the information that needs to be shared during product development is produced with the use of engineering tools. Brecher et al 11 describe engineering applications as a heterogeneous software landscape forming a heterogeneous information network. The fact that most engineering applications are commercial software applications with proprietary data structures makes sharing information problematic.…”

Section: Key Concepts and Methodsmentioning

confidence: 99%

Producing reusable engineered systems through ontology: implementing an information sciences approach to architecture-driven, model-based, concurrent engineering

Ball

Runge

2013

Journal of Defense Modeling & Simulation

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The engineering community faces multiple challenges as it moves toward a future that will consist of virtual reality, model-based enterprises, and a heavy reliance on simulation for requirements development, design, manufacturing, assembly, and training for future products. The focus on model-based activities (e.g. design, systems engineering, manufacturing) is seen as a way to better reuse knowledge, ensure higher quality, and reduce costs through virtual design and testing. However, the combination of discipline-focused decomposition, the functional to physical progression, proprietary data formats, and poor communication between disciplines due to different language and contexts leads to longer development times, increased rework, and a failure in product realization. Raytheon has been researching aspects of this future, targeted at shortening the product development lifecycle by an order of magnitude. One such recent Raytheon-funded study has indicated that a potentially more complete approach might be to address the problem from an information sciences perspective and the adoption of “product” models as the primary representation. In particular, the development of a workable rapid engineering environment will require an information architecture-leveraging product ontology designed specifically for this type of approach.

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Section: Key Concepts and Methodsmentioning

confidence: 99%

Producing reusable engineered systems through ontology: implementing an information sciences approach to architecture-driven, model-based, concurrent engineering

Ball

Runge

2013

Journal of Defense Modeling & Simulation

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“…MCAD, ECAD, etc.) is highlighted in [11]. In [12] a maintenance and process ontology in operation & maintenance information management is applied, but there is no binding to existing CAE standards or tools and no discussion on how to embed the ontology into the engineering process.…”

Section: Related Workmentioning

confidence: 99%

Ontology-based validation of plant models

Abele

Legat

Grimm

et al. 2013

2013 11th IEEE International Conference on Industrial Informatics (INDIN)

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Improving efficiency in the plant construction process and providing valid resulting plant models requires a technology that validates planning and data exchange formats for plant engineering, such as CAEX (Computer Aided Engineering Exchange). Semantic Web technologies support validation mechanisms for querying and reasoning over domain models expressed in form of ontologies. In this paper, we present an approach to the automated validation of CAEX plant models by their transformation to ontologies and subsequent application of Semantic Web reasoning for validation purposes.

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“…Some aspects of the cooperation across mechatronic disciplines in engineering are depicted in different tools (Anacker et al, 2011). Furthermore, tools have been developed to allow the exchange of information between the disciplines (Brecher et al, 2010;Draht et al, 2011;Moser et al, 2012).…”

Section: State Of the Artmentioning

confidence: 99%

“…Here, the handling and the inheritance of behavior and properties of the objects are important (Bonfe et al, 2006). The module selection should be evaluated to compare different blueprints in the modeling of new manufacturing systems (de Lamotte et al, 2006).…”

Section: State Of the Artmentioning

confidence: 99%

Reuse of modules for mechatronic modeling and evaluation of manufacturing systems in the conceptual design and basic engineering phase

Weyrich

Klein

Steden

2014

IFAC Proceedings Volumes

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Integration of Software Tools with Heterogeneous Data Structures in Production Plant Lifecycles

Cited by 6 publications

References 13 publications

Producing reusable engineered systems through ontology: implementing an information sciences approach to architecture-driven, model-based, concurrent engineering

Producing reusable engineered systems through ontology: implementing an information sciences approach to architecture-driven, model-based, concurrent engineering

Ontology-based validation of plant models

Reuse of modules for mechatronic modeling and evaluation of manufacturing systems in the conceptual design and basic engineering phase

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