A comparison of inconsistency management approaches using a mechatronic manufacturing system design case study

Feldmann, Stefan; Herzig, Sebastian J. I.; Kernschmidt, Konstantin; Wolfenstetter, Thomas; Kammerl, Daniel; Qamar, Ahsan; Lindemann, Udo; Krcmar, Helmut; Paredis, Christiaan J. J.; Vogel‐Heuser, Birgit

doi:10.1109/coase.2015.7294055

Cited by 42 publications

(7 citation statements)

References 18 publications

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“…In case, not all necessary changes are identified and implemented, inconsistencies arise. They are defined as conflicting information in different models (Feldmann et al, 2015) or more specifically, contradiction between two facts or two presentations of facts expressed in formal models as well as in informal artefacts such as requirements written in natural language (Basirati et al, 2018). In the PSSycle AG for example, a semantical inconsistency of the relation type "refinement" would occur, if the documented battery capacity in MD would not satisfy the required battery range of the PD model.…”

Section: Challenges and Illustrating Example: A Pss Use Casementioning

confidence: 99%

“…In order to manage the uprising complexity, engineers apply model-based systems engineering (MBSE) and create a high number of dependent heterogeneous models (Reift et al, 2017). The more models collaborate, the higher gets the risk of model inconsistencies, meaning that the information in different models cannot be true at the same time (Spanoudakis and Zisman, 2001;Feldmann et al, 2015). As undetected and unsolved inconsistencies result in project delays and failures, inconsistency management becomes crucial (Feldmann et al, 2015).…”

Section: Introductionmentioning

confidence: 99%

“…The more models collaborate, the higher gets the risk of model inconsistencies, meaning that the information in different models cannot be true at the same time (Spanoudakis and Zisman, 2001;Feldmann et al, 2015). As undetected and unsolved inconsistencies result in project delays and failures, inconsistency management becomes crucial (Feldmann et al, 2015). Many approaches for inconsistency management exist, but in particular the task of identifying model interdependencies is not well described and supported.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Inconsistency Management in Heterogeneous Models - An Approach for the Identification of Model Dependencies and Potential Inconsistencies

Kattner¹,

Bauer²,

Basirati³

et al. 2019

Proc. Int. Conf. Eng. Des.

Self Cite

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In today's engineering projects, interdisciplinary work leads to an increase in interfaces between different departments and domains. As each stakeholder pursues different goals and tasks, a heterogeneous model landscape is required. In each domain, a variety of different model and software implementations provide the essential basis for efficient work. On the interfaces, the risk of model inconsistencies increases. To handle occurring inconsistencies, various approaches have been presented. For model-based systems engineering projects, rule-based methods are considered as the most suitable technique. However, said approaches require a high manual effort in identifying model dependencies and establishing consistency rules. Unfortunately, in particular these steps are not well described and supported. Therefore, this paper presents an easily applicable approach for the identification of model dependencies in interdisciplinary projects. The method is supported by a software implementation and is directly integrated in engineering workflows. A first industrial case study has shown positive effects of the approach and revealed further research goals.

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Section: Challenges and Illustrating Example: A Pss Use Casementioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Inconsistency Management in Heterogeneous Models - An Approach for the Identification of Model Dependencies and Potential Inconsistencies

Kattner¹,

Bauer²,

Basirati³

et al. 2019

Proc. Int. Conf. Eng. Des.

Self Cite

View full text Add to dashboard Cite

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“…Feldmann et al: [158‐165] presented a review and comparison of several inconsistency management approaches. These approaches are classified into 3 kinds: proof‐theory‐based approaches, rule‐based approaches, and model synchronization‐based approaches.…”

Section: Related Workmentioning

confidence: 99%

Model verification for system design of complex mechatronic products

Chen

Liu

Zhao

et al. 2018

Systems Engineering

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Increasing complexity of mechatronic products leads to more challenging designs. As the most important stage, system design determines the overall product architecture. Defects in this stage are difficult to rectify in future stages, thus requiring greater model accuracy. With the development of model-based systems engineering (MBSE), model verification can detect design defects, reduce development costs, improve development efficiency, and ensure system reliability. Currently, conventional verifications are performed only after design processes, which makes it difficult to make systematic modifications. To solve this problem, a model verification method implemented in the design stage is proposed in this study. Using this method, designers are able to detect defects earlier, thereby reducing modification costs. The proposed method is as follows:first, a language named Relation-based Modeling for Static Properties (RMSP) is proposed to formalize the static properties of requirements; second, the representation of "Conceptual Graphs" is extended to meet the needs of model verification of mechatronic products; finally, requirements in RMSP and system design in Systems Modeling Language (SysML) are transformed into the Extension of Conceptual Graphs. In this manner, the incorrectness and inconsistencies between requirements and system design can be found through projection in the system design stage. The omitted or improperly designed requirement items would be found and redesigned to fulfill the product requirements. K E Y W O R D Sconceptual graph, mechatronic product, model verification, SysML, system design 156

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“…Semantic Web Technologies (SWTs) were used in several works to support consistency management across engineering models, including defect detection. Feldmann et al [5,25] focus on identifying inconsistencies that may arise among diverse engineering plans and engineering models created during the ASE process. Such inconsistency detection contributes to the increased productivity of the engineering process as it supports the detection of potentially severe defects early in the engineering process.…”

Section: Semantic Web Technologies For Defect Detectionmentioning

confidence: 99%

Improving Quality Assurance in Multidisciplinary Engineering Environments with Semantic Technologies

Winkler¹,

Sabou²,

Biffl³

2017

Quality Control and Assurance - An Ancient Greek Term Re-Mastered

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In multidisciplinary engineering (MDE) projects, for example, automation systems or manufacturing systems, stakeholders from various disciplines, for example, electrics, mechanics and software, have to collaborate. In industry practice, engineers apply individual and highly specialized tools with strong limitation regarding defect detection in early engineering phases. Experts typically execute reviews with limited tool support which make engineering projects defective and risky. Semantic Web Technologies (SWTs) can help to bridge the gap between heterogeneous sources as foundation for efficient and effective defect detection. Main questions focus on (a) how to bridge gaps between loosely coupled tools and incompatible data models and (b) how SWTs can help to support efficient and effective defect detection in context of engineering process improvement. This chapter describes success-critical requirements for defect detection in MDE and shows how SWTs can provide the foundation for early and efficient defect detection with an adapted review approach. The proposed defect detection framework (DDF) suggests different levels of SWT contributions as a roadmap for engineering process improvement. Two selected industry-related real-life cases show different levels of SWT involvement. Although SWTs have been successfully applied in real-life use cases, SWT applications can be risky if applied without good understanding of success factors and limitations.

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A comparison of inconsistency management approaches using a mechatronic manufacturing system design case study

Cited by 42 publications

References 18 publications

Inconsistency Management in Heterogeneous Models - An Approach for the Identification of Model Dependencies and Potential Inconsistencies

Inconsistency Management in Heterogeneous Models - An Approach for the Identification of Model Dependencies and Potential Inconsistencies

Model verification for system design of complex mechatronic products

Improving Quality Assurance in Multidisciplinary Engineering Environments with Semantic Technologies

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