An ontology-based multi-agent virtual enterprise system (OMAVE): part 1: domain model<b>l</b>ing and rule management

Sadigh, Bahram Lotfi; Ünver, Hakkı Özgür; Nikghadam, Shahrzad; Doğdu, Erdoğan; Özbayoğlu, A. Murat; Kılıç, S. Engin

doi:10.1080/0951192x.2016.1145811

Cited by 15 publications

(7 citation statements)

References 42 publications

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“…[131,139,141]), or UML (cf. [121,131]). Nonetheless, even among the publications with industrial evaluation, we found contributions introducing novel metamodels (cf.…”

Section: Resultsmentioning

confidence: 99%

“…-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%

“…Model-based software development is one of the key enablers for successfully engineering, integrating, and maintaining complex systems of systems, which is indicated by the increasing number of related publications in key conferences and journals investigating these challenges, e.g., see [30,49,97,62,131,145] For successfully engineering Industry 4.0 systems of systems, fostering research in modeling is crucial to enable realizing the aforementioned design principles.…”

Section: Introductionmentioning

confidence: 99%

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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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“…[131,139,141]), or UML (cf. [121,131]). Nonetheless, even among the publications with industrial evaluation, we found contributions introducing novel metamodels (cf.…”

Section: Resultsmentioning

confidence: 99%

Section: Modeling Languages Applied To Industry 40mentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Modeling languages in Industry 4.0: an extended systematic mapping study

et al. 2019

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“…The scientific results reported in the cited publications allow the authors to argue that under the current conditions the only way to improve the efficiency of industrial business processes is to move from data-oriented technologies to knowledge-oriented technologies, among which the most advanced one is the ontological approach. Study [13] describes the technology for the construction, deployment, and operational maintenance, within a VIE framework, of the ontological system of the ERP class, using intelligent agents. This approach seems redundant as ontological structures, by their very nature, make it possible for the implementation of the knowledge-based inference (KBI) procedure directly in the environment of ontologies themselves.…”

Section: Literature Review and Problem Statementmentioning

confidence: 99%

Building an ontological information-analytical system to manage quality of double-glazed windows in the production of solar panels

Sobchak

Mykhalkiv

Babaiev

et al. 2020

EEJET

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This paper reports an ontological approach to designing intelligent decision support to control the quality of multi-layered double-glazed windows within the framework of a virtual instrument-building enterprise (VIE)that produces solar energy complexes. It is shown that improving the efficiency in solving the tasks related to managing the quality of VIE products necessitates the application of an ontological engineering toolset to create a unified knowledge space that would cover the manufacturing phase of a product's life cycle. The methodical basis for making an ontological information-analytical system (OIAS) to manage product quality was the tool platform "TODOS" (Ukraine) whose means were used to synthesize a set of ontological models that make up the intelligent core of OIAS. The OIAS knowledge-based inference procedure has been described when making a decision about a deviation in the manufacturing process that led to the emergence of damage. This procedure implies the implementation of direct and reverse inference based on the knowledge in the ontological environment and makes it possible to identify the sources of defects and damage and generate a solution to eliminating these sources. Procedures have been devised to assess the effectiveness of the development and application of OIAS to automate the quality management of multi-layered double-glazed windows. These procedures employ a set of indicators that reflect both the technical and economic components of the quality control process. It has been shown that during 2019 a typical subcontractor enterprise that applied the developed system managed to reduce the number of defective products by about 73 %. Further research areas have been identified, including the development of methodical means and, based on them, the toolsets for the deployment of industrial ontological quality management systems

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“…Such collaboration, not only increase their profit but increase their survivability in today's turbulent and constantly changing business markets as well [3,2,4,17]. However, different factors (such as lack of trust and the non-existence of basic infrastructure that allow for smooth transaction) play a critical role in the timely formation of such collaborations.…”

Section: Introductionmentioning

confidence: 99%

Towards a Gamified Approach for Enhancing VBE Preparedness for Establishing Virtual Collaborations

Rajper

Reiff-Marganiec²,

Nizamani

2016

Collaboration in a Hyperconnected World

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Abstract. Formation of collaborative settings (virtual organizations, collaborative network organizations, etcetera) is hindered by the lack of trust between unfamiliar but potential partners. Gamification is the application of game design principles to non-game environments. We claim that incorporating the concepts of gamification into Virtual Organisation Breeding Environments (VBEs) leads to building trust between VBE members, as well as motivating them to be proactive members of the VBEs that contribute towards the flourishing of VBEs. This paper explores a novel gamified approach, supported by a suitable methodology, to address the relatively neglected concept of 'preparedness' of VBEs.

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An ontology-based multi-agent virtual enterprise system (OMAVE): part 1: domain modelling and rule management

Cited by 15 publications

References 42 publications

Modeling languages in Industry 4.0: an extended systematic mapping study

Modeling languages in Industry 4.0: an extended systematic mapping study

Building an ontological information-analytical system to manage quality of double-glazed windows in the production of solar panels

Towards a Gamified Approach for Enhancing VBE Preparedness for Establishing Virtual Collaborations

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