An Integrated Approach to Analyze Change-situations in the Development of Production Systems

Kernschmidt, Konstantin; Behncke, Florian G. H.; Chucholowski, Nepomuk; Wickel, Martina Carolina; Bayrak, Gülden; Lindemann, Udo; Vogel‐Heuser, Birgit

doi:10.1016/j.procir.2014.01.081

Cited by 9 publications

(5 citation statements)

References 29 publications

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“…SysML4Mechatronics allows the modelling of an integrated system view (cf. Figure 7) and visualization of interface information with a green arc with attributes (Kernschmidt et al 2014). To ease understanding, the older versions in Figure 7 are shown greyed out.…”

Section: Providing An Interdisciplinary Systems Engineering View For mentioning

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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Section: Providing An Interdisciplinary Systems Engineering View For mentioning

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

Self Cite

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“…-There exist several methods and frameworks for analyzing cross-domain, inter-model relations of a system during engineering. One of which is the combined application of SysML as a modeling approach and semantic technologies to analyze changes in a system [29,30]. Another method is a knowledge-based framework with an integrated rule-relationship diagnosing consistency failure and dependencies in mechatronic models during the engineering process of the system [31].…”

Section: Existing Approaches To Synchronizing Digital Twin's Modelsmentioning

confidence: 99%

An architecture of an Intelligent Digital Twin in a Cyber-Physical Production System

Talkhestani

Jung

Lindemann

et al. 2019

At - Automatisierungstechnik

208

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The role of a Digital Twin is increasingly discussed within the context of Cyber-Physical Production Systems. Accordingly, various architectures for the realization of Digital Twin use cases are conceptualized. There lacks, however, a clear, encompassing architecture covering necessary components of a Digital Twin to realize various use cases in an intelligent automation system. In this contribution, the added value of a Digital Twin in an intelligent automation system is highlighted and various existing definitions and architectures of the Digital Twin are discussed. Flowingly, an architecture for a Digital Twin and an architecture for an Intelligent Digital Twin and their required components are proposed, with which use cases such as plug and produce, self-x and predictive maintenance are enabled. In the opinion of the authors, a Digital Twin requires three main characteristics: synchronization with the real asset, active data acquisition from the real environment and the ability of simulation. In addition to all the characteristics of a Digital Twin, an Intelligent Digital Twin must also include the characteristics of Artificial Intelligence. The Intelligent Digital Twin can be used for the realization of the autonomous Cyber-Physical Production Systems. In order to realize the proposed architecture for a Digital Twin, several methods, namely the Anchor-Point-Method, a method for heterogeneous data acquisition and data integration as well as an agent-based method for the development of a co-simulation between Digital Twins were implemented and evaluated.

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“…to substitute a component so that it is compatible to the other components. [8].The effort for testing can be determined by the fuzzy system with a defuzzyfication (see part III E about the 'Fuzzy Expert System'). Given that we are not looking for the effort to correct an error, but for the expected effort of a PDP, the probabilities of errors to occur and being detected are still missing.…”

Section: Modeling the Effortmentioning

confidence: 99%

Mitigating the effort for engineering changes in product development using a fuzzy expert system

Kindsmuller

Behncke

Ståhl

et al. 2014

2014 IEEE International Conference on Industrial Engineering and Engineering Management

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The timing of testing the maturity of a product within the product development process challenges manufacturing firms. This paper presents an approach to identify the timing to be checked for differences between the as-is-state and anticipated to-be-state of the development. Therefore, a model is established to simulate aproduct development process by using a fuzzy-expert system.Using this model, an optimization is performed to ascertain an ideal timing.

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An Integrated Approach to Analyze Change-situations in the Development of Production Systems

Cited by 9 publications

References 29 publications

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

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

An architecture of an Intelligent Digital Twin in a Cyber-Physical Production System

Mitigating the effort for engineering changes in product development using a fuzzy expert system

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