Application of a multi-disciplinary design approach in a mechatronic engineering toolchain

Li, Huaxia; Zou, Mingjun; Hogrefe, Georg; Ryashentseva, Daria; Sollfrank, Michael; Koltun, Gennadiy; Vogel‐Heuser, Birgit

doi:10.1515/auto-2018-0097

Cited by 9 publications

(11 citation statements)

References 43 publications

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“…Overall, the results established so far suggest that our engineering concept can automate many steps that are traditionally carried out manually. We thus expect our approach to afford similar benefits as have been achieved in other domains (Drath et al 2008;Li et al 2019;Hästbacka et al 2011;Markthaler et al 2017).…”

Section: Discussionsupporting

confidence: 58%

Towards automated engineering and validation of cyber-physical energy systems

Andrén

Strasser

Resch³

et al. 2019

Energy Inform

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The massive deployment of distributed generators from renewable sources in recent years has led to a fundamental paradigm change in terms of planning and operation of the electric power system. The usage of advanced automation and information and communication technology is a key element to handle these new challenges and to turn the traditional power system into a smart grid. The implementation of such complex systems solutions is associated with increasing development complexity resulting in increased engineering costs. The traditional engineering methods used for power system automation were not intended to be used for applications of this scale and complexity. However, the usage of proper methods, automation architectures, and corresponding tools holds huge optimization potential for the engineering process. Therefore, this work presents a model-based engineering and validation support system, covering the overall engineering process for smart grid applications.

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Section: Discussionsupporting

confidence: 58%

Towards automated engineering and validation of cyber-physical energy systems

Andrén

Strasser

Resch³

et al. 2019

Energy Inform

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“…After inconsistencies are located, some of them can be automatically resolved for system recovery (Zou et al 2017), while others remain to be fixed manually by experts. In the interdisciplinary systems modelling process, systematic inconsistency management can help identifying bugs in between different models in the early phase (Li et al 2019). Inconsistency detection is supposed to be integrated into the information exchange process as a part of the engineering workflow by combining the exchange format AML and a formal knowledge base.…”

Section: Data Exchange and Consistency Among Interdisciplinary Modelsmentioning

confidence: 99%

“…Therefore, as the first step of coupling, the data exchange format needs to be unified according to industry standards, e.g., using AML standard format. An AML file allows the data exchange among SysML4Metrachonics and various discipline-specific models (Li et al 2019). By using SysML4Metrachonics combined with AML, a general representation of the heterogeneous model information can be provided, which lays the foundation for investigating information consistency.…”

Section: Managing Model Dependencies and Inconsistencies By A Priori mentioning

confidence: 99%

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Interdisciplinary engineering of cyber-physical production systems: highlighting the benefits of a combined interdisciplinary modelling approach on the basis of an industrial case

et al. 2020

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In the context of cross-disciplinary and cross-company cooperation, several challenges in developing manufacturing systems are revealed through industrial use cases. To tackle these challenges, two propositions are used in parallel. First, coupling technical models representing different content areas facilitates the detection of boundary crossing consequences, either by using a posteriori or a priori connection. Second, it is necessary to enrich these coupled technical models with team and organizational models as interventions focusing on the collaboration between individuals and teams within broader organizational conditions. Accordingly, a combined interdisciplinary approach is proposed. The feasibility and benefits of the approach is proven with an industrial use case. The use case shows that inconsistencies among teams can be identified by coupling engineering models and that an integrated organizational model can release the modelling process from communication barriers.

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“…4). These case studies have been widely studied [7,38,43], and we have adapted them to fit the purpose of our study. (ii) A VIATRA software prototype implemented the case studies as batch-oriented transformations, i.e., models are built from scratch (Sect.…”

Section: Introductionmentioning

confidence: 99%

Using two case studies to explore the applicability of VIATRA for the model-driven engineering of mechatronic production systems

Koltun

Pundel

2022

Softw Syst Model

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The engineering of mechatronic production systems is complex and requires various disciplines (e.g., systems, mechanical, electrical and software engineers). Model-driven engineering (MDE) supports systems development and the exchange of information based on models and transformations. However, the integration and adoption of different modeling approaches are becoming challenges when it comes to cross-disciplinary work. VIATRA is a long-living enduring and mature modeling framework that offers rich model transformation features to develop MDE applications. This study investigates the extent to which VIATRA can be applied in the engineering of mechatronic production systems. For this purpose, two model transformation case studies are presented: “SysML – AutomationML” and “SysML4Mechatronics – AutomationML.” Both case studies are representative of structural modeling and interdisciplinary data exchange during the development of mechatronic production systems. These case studies are derived from other researchers in the community. A VIATRA software prototype implements these case studies as a batch-oriented transformation and serves as one basis for evaluating VIATRA. To report on our observations and findings, we built on an evaluation framework from the MDE community. This framework considers 14 different characteristics (e.g., maturity, size, execution time, modularity, learnability), according to the Goal-Question-Metric paradigm. To be able to evaluate our findings, we compared VIATRA to ATL. We applied all cases to a lab-size mechatronic production system. We found that, with VIATRA, the same functions for model transformation applications can be achieved as with ATL, which is popular for model transformations in both the MDE and the mechatronic production systems community. VIATRA combines the relational, imperative, and graph-based paradigms and enables the development and execution of model-to-model (M2M) and model-to-text (M2T) transformations. Furthermore, the VIATRA internal DSL is based on Xtend and Java, making VIATRA attractive and intuitive for users with less experience in modeling than in object-oriented programming. Thus, VIATRA leads to an interesting alternative for the model-driven engineering of mechatronic production systems. It has the potential to reduce the complexity during the development of model transformations. To conclude, this paper evaluates the applicability of VIATRA, its strengths and limitations. It provides lessons learned and insights that can stimulate further research in the MDE for mechatronic production systems.

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Application of a multi-disciplinary design approach in a mechatronic engineering toolchain

Cited by 9 publications

References 43 publications

Towards automated engineering and validation of cyber-physical energy systems

Towards automated engineering and validation of cyber-physical energy systems

Interdisciplinary engineering of cyber-physical production systems: highlighting the benefits of a combined interdisciplinary modelling approach on the basis of an industrial case

Using two case studies to explore the applicability of VIATRA for the model-driven engineering of mechatronic production systems

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