Introducing TRAILS: A tool supporting traceability, integration and visualisation of engineering knowledge for product service systems development

Wolfenstetter, Thomas; Basirati, Mohammad R.; Böhm, Markus; Krcmar, Helmut

doi:10.1016/j.jss.2018.06.079

Cited by 16 publications

(9 citation statements)

References 32 publications

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“…Of course, the gross number of papers can change, because new papers can be published or some papers might not be available online anymore, but we believe that the final conclusion will not deviate from ours. [2,20,42,60,67,76,91,104,112,113,115,120,127,128,136,150] "…it becomes even more challenging and difficult to address the above reported challenges while performing mechatronic design, especially due to cross-domain dependencies" [113] Design conflict 7 [30,44,45,61,75,121,154] "…minimize the appearance of early design conflicts and to solve the rest of them…" [45] Interoperability 29 [1,5,11,[13][14][15]26,27,29,31,32,49,54,55,62,72,73,80,103,106,108,…”

Section: Threats To Validitymentioning

confidence: 99%

A systematic literature review of cross-domain model consistency checking by model management tools

2020

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Objective The goal of this study is to identify gaps and challenges related to cross-domain model management focusing on consistency checking. Method We conducted a systematic literature review. We used the keyword-based search on Google Scholar, and we identified 618 potentially relevant studies; after applying inclusion and exclusion criteria, 96 papers were selected for further analysis. Results The main findings/contributions are: (i) a list of available tools used to support model management; (ii) 40% of the tools can provide consistency checking on models of different domains and 25% on models of the same domain, and 35% do not provide any consistency checking; (iii) available strategies to keep the consistency between models of different domains are not mature enough; (iv) most of the tools that provide consistency checking on models of different domains can only capture up to two inconsistency types; (v) the main challenges associated with tools that manage models on different domains are related to interoperability between tools and the consistency maintenance. Conclusion The results presented in this study can be used to guide new research on maintaining the consistency between models of different domains. Example of further research is to investigate how to capture the Behavioral and Refinement inconsistency types. This study also indicates that the tools should be improved in order to address, for example, more kinds of consistency check.

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Section: Threats To Validitymentioning

confidence: 99%

A systematic literature review of cross-domain model consistency checking by model management tools

2020

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“…They do not include the reflection of organizational learning or comprehensibility and inconsistency management explicitly. Wolfenstetter et al (2018) as example from the domain of PSS also contribute to the interdisciplinary collaboration and coupling of engineering models using Unified Modeling Language (UML), SyML, Requirements Interchange Format (REqIF) and Extensible Markup Language (XML) as technology for modelbased engineering and neglect reflection of organizational learning as well as inconsistency management.…”

Section: State Of the Art In Interdisciplinary Innovation Managementmentioning

confidence: 99%

“…In the following, we describe the a posteriori connection approach by using TRAILS. TRAILS, which stands for Traceability, model Integration and Life-cycle management Support, is a software tool that facilitates integration and collaboration among heterogeneous models (Wolfenstetter et al 2018). As the key feature, TRAILS enables users to import partial models of different discipline-specific formats into a cross-disciplinary representation.…”

Section: Approach B: a Posteriori Connection With The Software Tool Tmentioning

confidence: 99%

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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“…They [32] have also presented the multi‐view collaboration method using knowledge‐base and shown a research demonstrator use‐case, still the method works in model level. As many approaches are developed for software engineering like [33], Wolfenstetter et al [34] introduce a software tool called TRAILS (standing for traceability, integration, and life‐cycle management support) which aims to convert existing information from different domain‐specific model into a uniform format by defining the relationship between the metamodels like Link model. Similarly, correspondence and consistency rules can be defined for a set of metamodels of the targets for flexible views in virtual single underlying metamodel (VSUMM) suggested by Kramer et al [35].…”

Section: State Of the Artmentioning

confidence: 99%

Analysis of metamodels for model‐based production automation system engineering

Cha

Vogel‐Heuser

Fischer

2020

IET Collaborative Intelligent Manufacturing

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Introducing TRAILS: A tool supporting traceability, integration and visualisation of engineering knowledge for product service systems development

Cited by 16 publications

References 32 publications

A systematic literature review of cross-domain model consistency checking by model management tools

A systematic literature review of cross-domain model consistency checking by model management tools

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

Analysis of metamodels for model‐based production automation system engineering

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