Reasoning on Engineering Knowledge: Applications and Desired Features

Hildebrandt, Constantin; Glawe, Matthias; Müller, Andreas W.; Fay, Alexander

doi:10.1007/978-3-319-58451-5_5

Cited by 7 publications

(2 citation statements)

References 21 publications

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“…-Variants of UML, such as DiSpa [17], Mechatronic UML [136], UMM [101], and UML4IoT [149]; -The systems modeling language (SysML) [147] and its variants, such as SysML4Mechatronics [48] and SysML4Modelica [20]; -Knowledge representation techniques, mostly employing the Web Ontology Language (OWL) [60,112] or the Semantic Web Rule Language (SWRL) [66,131]. -Metamodels specific to Industry 4.0 challenges, such as the industrial metamodel for automation systems [108] or AutomationML [84].…”

Section: Modeling Languages Applied To Industry 40mentioning

confidence: 99%

Modeling languages in Industry 4.0: an extended systematic mapping study

et al. 2019

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Industry 4.0 integrates Cyber-Physical Systems with the Internet of Things to optimize the complete value-added chain. Successfully applying Industry 4.0 requires the cooperation of various stakeholders from different domains. Domain-specific modeling languages promise to facilitate their involvement through leveraging (domain-specific) models to primary development artifacts. Objective: We aim to assess the use of modeling in Industry 4.0 through the lens of modeling languages in a broad sense. Method: Based on an extensive literature review, we updated our systematic mapping study on modeling languages and modeling techniques used in Industry 4.0 [159] to include publications until February 2018. Overall, the updated study considers 3344 candidate publications that were systematically investigated until 408 relevant publications were identified. Based on these, we developed an updated map of the research landscape on modeling languages and techniques for Industry 4.0. Results: Research on modeling languages in Industry 4.0 focuses on contributing methods to solve the challenges of digital representation and integration. To this end, languages from systems engineering and knowledge representation are applied most often but rarely combined. There also is a gap between the communities researching and applying modeling languages for In

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Section: Modeling Languages Applied To Industry 40mentioning

confidence: 99%

Modeling languages in Industry 4.0: an extended systematic mapping study

et al. 2019

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“…The use of semantic technologies is eased by open-source platforms, such as the Eclipse-based Protégé platform. However, the machine reasoning methods provided by Protégé still show deficiencies which limit their use in the engineering of automated systems and provide open research questions (Hildebrandt, Glawe et al 2017).…”

Section: Semantic Models Of Factoriesmentioning

confidence: 99%

An overview of current technologies and emerging trends in factory automation

Dotoli

Fay

Miśkowicz

et al. 2018

International Journal of Production Research

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In this paper we provide an overview of recent theoretical approaches and technologies that respond to the fundamental challenges of modern factory automation. We classify these major methods and technologies into several groups and, for seven of them-namely: vertical integration of factory automation systems; distributed and decentralised control, smart sensors and actuators in factories; networked control systems and wireless sensors and actuators; autonomy and selforganisation of factories; advanced sensing for factory automation; semantic models of factories; engineering methods of factory automation systems-we report recent research contributions and formulate open technical problems in the domain of modern factory automation.

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