Towards Product Centric Manufacturing: From Digital Twins to Product Assembly

Kuliaev, Vladimir; Atmojo, Udayanto Dwi; Sierla, Seppo; Blech, Jan Olaf; Vyatkin, Valeriy

doi:10.1109/indin41052.2019.8972137

Cited by 16 publications

(9 citation statements)

References 35 publications

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“…The execution of the process is the primary force for workshop operation in physical space as well for dataflow circulation in cyber space. Kuliaev et al [18] proposed a comprehensive solution that allows productcentric manufacturing and covers lifecycle from digital product description to physical assembly. Furthermore, the reference model for the classification of product assembly data was presented with multiple dimensions [59], in which the primary structure and version management of process were taken into account.…”

Section: Modeling Of Dt Workhopmentioning

confidence: 99%

The ontology-based modeling and evolution of digital twin for assembly workshop

Bao

Zhao

et al. 2021

Int J Adv Manuf Technol

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Section: Modeling Of Dt Workhopmentioning

confidence: 99%

The ontology-based modeling and evolution of digital twin for assembly workshop

Bao

Zhao

et al. 2021

Int J Adv Manuf Technol

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“…The Human Factor Analyzer is a software/hardware architecture that can be used for manual work motion and time measurement employing depth cameras and automatic data processing aiming to evaluate work performance quantitatively [64]. Digital twins of assembly processes can be used to analyze the efficiency of the line [85], and it would also enable product-centric assembly [86]. Festo's Cyber Physical Factory can be used to implement an Industry 4.0 digital twin framework [87].…”

Section: Industry 40 Technologies For Improving Processes and Decisionsmentioning

confidence: 99%

Lean Manual Assembly 4.0: A Systematic Review

2020

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In a demand context of mass customization, shifting towards the mass personalization of products, assembly operations face the trade-off between highly productive automated systems and flexible manual operators. Novel digital technologies—conceptualized as Industry 4.0—suggest the possibility of simultaneously achieving superior productivity and flexibility. This article aims to address how Industry 4.0 technologies could improve the productivity, flexibility and quality of assembly operations. A systematic literature review was carried out, including 234 peer-reviewed articles from 2010–2020. As a result, the analysis was structured addressing four sets of research questions regarding (1) assembly for mass customization; (2) Industry 4.0 and performance evaluation; (3) Lean production as a starting point for smart factories, and (4) the implications of Industry 4.0 for people in assembly operations. It was found that mass customization brings great complexity that needs to be addressed at different levels from a holistic point of view; that Industry 4.0 offers powerful tools to achieve superior productivity and flexibility in assembly; that Lean is a great starting point for implementing such changes; and that people need to be considered central to Assembly 4.0. Developing methodologies for implementing Industry 4.0 to achieve specific business goals remains an open research topic.

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“…The authors leverage UML to model the entities of manufacturing cells. A similar implementation is described in [10]. In [11], a UML-based digital twin modeling method for a CNC machine tool is proposed.…”

Section: Related Workmentioning

confidence: 99%

Digital Twins for Manufacturing Using UML and Behavioral Specifications

Azangoo

Taherkordi

Blech

2020

2020 25th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA)

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Using digital twins, physical manufacturing objects can be virtualized and represented as digital models which are seamlessly integrated in both the physical and the digital space. This allows to simulate, verify and optimize production systems, from the logistical aspects to the manufacturing process and the involved components. A key challenge, in this area, is how to describe digital twins in complex manufacturing systems such that all physical details, processes, and verification needs are modeled at an appropriate and efficient abstraction level, e.g., modeling and detecting divers faults in production processes. To address this challenge, in this paper we present our work on modeling digital twins of manufacturing facilities using UML. UML class diagrams are used to describe static dependencies between entities, as well as to monitor and analyze the dynamic verification and quality aspects of manufacturing such as fault detection and consistency checks. Utilizing the key relevant features of UML in our approach, the designed class diagrams are used and enriched with behavioral models serving as digital twins which can be updated by live data from the manufacturing plant. We present a small example based on simulation programs and a demonstrator. The presented modeling approach and example provide useful insights to UML-based design of digital twins in complex manufacturing systems.

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Towards Product Centric Manufacturing: From Digital Twins to Product Assembly

Cited by 16 publications

References 35 publications

The ontology-based modeling and evolution of digital twin for assembly workshop

The ontology-based modeling and evolution of digital twin for assembly workshop

Lean Manual Assembly 4.0: A Systematic Review

Digital Twins for Manufacturing Using UML and Behavioral Specifications

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