Process modeling for industry 4.0 applications: Towards an industry 4.0 process modeling language and method

Petrasch, Roland; Hentschke, Roman

doi:10.1109/jcsse.2016.7748885

Cited by 85 publications

(53 citation statements)

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“…The table summarizes the support of each approach for IoT-aware process modeling, execution, and monitoring as well as the availability of a mobile user interface and the possibility to provide (IoT) context information. In [25,26], the authors present the Internet-of-Things-Aware Process Modeling Method (IAPMM) that covers requirements analysis.…”

Section: Related Workmentioning

confidence: 99%

IoT meets BPM: a bidirectional communication architecture for IoT-aware process execution

et al. 2020

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Business processes are frequently executed within application systems that involve humans, computer systems as well as objects of the Internet of Things (IoT). Nevertheless, the usage of IoT technology for system supported process execution is still constrained by the absence of a common system architecture that manages the communication between both worlds. In this paper, we introduce an integrated approach for IoT-aware business process execution that exploits IoT for BPM by providing IoT data in a process-compatible way, providing an IoT data provenance framework, considering IoT data for interaction in a pre-defined process model, and providing wearable user interfaces with context-specific IoT data provision. The approach has been implemented on top of contemporary BPM modeling concepts and system technology. The introduced technique has evaluated extensively in different use cases in industry.

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Section: Related Workmentioning

confidence: 99%

IoT meets BPM: a bidirectional communication architecture for IoT-aware process execution

et al. 2020

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“…Results from a research conducted by Pfohl et al (2015) analyzed a total of 49 technologies which they identified as relevant in shaping the fourth industrial revolution, they reduced them to a group that are most relevant which fall under the following seven categories: digitalization, autonomisation, transparency, mobility, modularization, networkcollaboration and socializing of products and processes. Another interesting perspective is that of Petrasch and Hentschke(2016) whose assessment of Industry 4.0 is done in terms of technological concepts classified under three broad categories: Embedded Systems (ES)/CPS (Cyber-Physical Systems), Internet/Cloud of Things (IoT/CoT), Service-Oriented Architecture (SOA)/Internet of Services (IoS)/Cloud Computing (CC).…”

Section: Literature Reviewmentioning

confidence: 99%

Assessment of the critical success factors that enable implementation of industry 4.0 concepts in manufacturing companies within the SME sector in the Czech Republic

Nwaiwu

Duduci

Chromjaková

2019

Proceedings of 6th International Scientific Conference Contemporary Issues in Business, Management and Economics Engineering ‘2

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Purpose – the research analyses and identifies, factors that influence and have the most impact in achieving a sustainable process management model in the implementation of Industry 4.0 concepts within production based SMEs. Research methodology – the research adopted qualitative and quantitative research. The qualitative approach involved an extensive and systematic review of literature while the quantitative approach involved the use of an online questionnaire used to collect data and analyzed using confirmatory factor analysis to test the measures of the constructs in the proposed conceptual framework. Findings – the result from the research shows the main influencing factor that enables successful implementation of the Industry 4.0 process management model in SMEs. Research limitations – the main research limitation is that the SMEs covered in the quantitative aspect of the research is located in the Czech Republic. It would be interesting to have similar studies conducted in other geographies for comparison purposes. Practical implications – the findings from the study are useful to practitioners and industry stakeholders who intend to develop the right process management model reliant on Industry 4.0 within their SMEs. Originality/Value – the originality/value is based on the combination of a quantitative alongside the qualitative approach in investigating the phenomenon covered in the study.

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“…Durão et al [17] present a preliminary integrated component data model in UML for the implementation of CPPS and Smart Product features. Petrasch and Hentschke [18] propose an Industry 4.0 process modeling language (I4PML) that extends (UML profile with stereotypes) the OMG's BPMN (Business Process Model and Notation) standard and describes a method for the specification of Industry 4.0 applications using UML and I4PML.…”

Section: B Model-based Systems Engineering and Industry 40mentioning

confidence: 99%

General architecture for data analysis in industry 4.0 using SysML and model based system engineering

Arantes

Bonnard

Mattei

et al. 2018

2018 Annual IEEE International Systems Conference (SysCon)

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Abstract-The industrial manufacturing sector has substantially evolved over the past decade, with the collect and analyze of sensors and apparatus data. The manufacturing processes "digitalization" has resulted in huge data management concerns, as manufacturing companies need to aggregate value for productivity improvement. The Industry 4.0 concept involves many technologies in order to challenge this issue. The paper presents an architecture framework to allow data analysis in different factories in the Industry 4.0 context. A MBSE approach is proposed and the use of SysML is assessed in that context.

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Process modeling for industry 4.0 applications: Towards an industry 4.0 process modeling language and method

Cited by 85 publications

References 1 publication

IoT meets BPM: a bidirectional communication architecture for IoT-aware process execution

IoT meets BPM: a bidirectional communication architecture for IoT-aware process execution

Assessment of the critical success factors that enable implementation of industry 4.0 concepts in manufacturing companies within the SME sector in the Czech Republic

General architecture for data analysis in industry 4.0 using SysML and model based system engineering

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