Innovations in digital modelling for next generation manufacturing system design

Stark, Rainer; Kind, Simon; Neumeyer, Sebastian

doi:10.1016/j.cirp.2017.04.045

Cited by 173 publications

(73 citation statements)

References 9 publications

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“…Hence an instance of a Digital Twin consists of: Digital Master -a unique instance of the universal model of the asset (machine), its individual Digital Shadow and intelligent linking (algorithm, simulation model, correlation, etc.) of the two elements above (Stark, Kind, & Neumeyer, 2017). This is the foundation of a CPPS.…”

Section: The Digital Twin: Digital Master and Digital Shadowmentioning

confidence: 99%

“…A definition of a Digital Twin, proposed by researchers of Fraunhofer IPK and TU Berlin provides a separation of usage data and models for simulation: "A Digital Twin is the digital representation of a unique asset (product, machine, service, product service system or other intangible asset), that alters its properties, condition and behaviour by means of models, information and data". (Stark, Kind, & Neumeyer, 2017) Today every instance of an individual product or production system produces a "digital shadow", which is the name for the structured collection of data generated by operation and condition data, process data, etc. Hence an instance of a Digital Twin consists of: Digital Master -a unique instance of the universal model of the asset (machine), its individual Digital Shadow and intelligent linking (algorithm, simulation model, correlation, etc.)…”

Section: The Digital Twin: Digital Master and Digital Shadowmentioning

confidence: 99%

“…With help of holistic behaviour modelling, a simulation model for validation of future usage of CPPS is available: the simulation environment can provide the ''Digital Master'' of the CPPS with the capability to interlink usage data and sensor values. A ''Digital Twin'' for evaluation of the interaction of a CPPS within an interlinked, autonomous production and linked capability simulation is possible (Stark, Kind, & Neumeyer, 2017). …”

Section: The Digital Twin: Digital Master and Digital Shadowmentioning

confidence: 99%

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Industry 4.0 and the New Simulation Modelling Paradigm

Rodič¹

2017

Organizacija

231

112

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Background and Purpose:The aim of this paper is to present the influence of Industry 4.0 on the development of the new simulation modelling paradigm, embodied by the Digital Twin concept, and examine the adoption of the new paradigm via a multiple case study involving real-life R&D cases involving academia and industry. Design: We introduce the Industry 4.0 paradigm, presents its background, current state of development and its influence on the development of the simulation modelling paradigm. Further, we present the multiple case study methodology and examine several research and development projects involving automated industrial process modelling, presented in recent scientific publications and conclude with lessons learned. Results: We present the research problems and main results from five individual cases of adoption of the new simulation modelling paradigm. Main lesson learned is that while the new simulation modelling paradigm is being adopted by big companies and SMEs, there are significant differences depending on company size in problems that they face, and the methodologies and technologies they use to overcome the issues. Conclusion: While the examined cases indicate the acceptance of the new simulation modelling paradigm in the industrial and scientific communities, its adoption in academic environment requires close cooperation with industry partners and diversification of knowledge of researchers in order to build integrated, multi-level models of cyber-physical systems. As shown by the presented cases, lack of tools is not a problem, as the current generation of general purpose simulation modelling tools offers adequate integration options.

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Section: The Digital Twin: Digital Master and Digital Shadowmentioning

confidence: 99%

Section: The Digital Twin: Digital Master and Digital Shadowmentioning

confidence: 99%

Section: The Digital Twin: Digital Master and Digital Shadowmentioning

confidence: 99%

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Industry 4.0 and the New Simulation Modelling Paradigm

Rodič¹

2017

Organizacija

231

112

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“…The ultimate application of these concepts is a fully automated manufacturing system capable of flexibly producing lots of batch size one with little human interaction by measuring the current status of accessible capabilities [2–4]. Movement towards such applications has spurred the growth of standards and technologies that provide manufacturers with opportunities to leverage data to reduce cost, improve productivity, ensure first-pass success, and augment existing workforce capabilities [1],…”

Section: Introductionmentioning

confidence: 99%

“…Thus, a fully automated manufacturing system can collect data and information about its operation to update its digital twin to simulate the effects of any decision to be made [3]. Similarly, the digital twin has been proposed for production planning, scheduling, routing, and control [3–4,9]; design of digitized manufacturing systems [4]; management of geometric variation and digital geometric assurance [6–7]; and design and operation of reconfigurable smart products [5]. Each of these applications relies on an underlying infrastructure to link data, information, and models from various systems across the product lifecycle to generate a holistic perspective of an asset; this infrastructure is the Digital Thread.…”

Section: Introductionmentioning

confidence: 99%

A standards-based approach for linking as-planned to as-fabricated product data

Helu

Joseph²,

Hedberg

2018

CIRP Annals

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The digital thread links disparate systems across the product lifecycle to support data curation and information cultivation and enable data-driven applications, e.g., digital twin. Realizing the digital thread requires the integration of semantically-rich, open standards to facilitate the dynamic creation of context based on multiple viewpoints. This research develops such an approach to link as-planned (ISO 6983) to as-fabricated (MTConnect) product data using dynamic time warping. Applying this approach to a production part enabled the designer to make a more optimal decision from the perspective of the product lifecycle that would have otherwise been challenging to identify.

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Full-Scale Discrete Event Simulation of an Automated Modular Conveyor System for Warehouse Logistics

Ashrafian

Pettersen

Kuntze

et al. 2019

IFIP Advances in Information and Communication Technology

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This paper presents the use of advanced simulation modeling to optimize the operation of a fully automated modular conveyor system in a large-scale warehouse. At its peak capacity, the smooth flow of material in the system was greatly impaired due to the appearance of bottlenecks. A full-scale 3D discrete event simulation (DES) model of the system was built and time-dependent statistical models were carefully designed and implemented in the model in order to capture the randomness and complex dynamics of the operation. The model was verified and validated, and several scenarios have been analyzed. The paper demonstrates a practical example of how data-driven simulation modeling provided a cost-effective solution to enhance efficiency. The paper highlights the crucial aspects that must be taken into account in the modeling of the system in order to create a reliable standalone decision support system. Moreover, the paper highlights the identified key steps that are yet to be taken from dynamical modelling towards a Digital Twin.

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Innovations in digital modelling for next generation manufacturing system design

Cited by 173 publications

References 9 publications

Industry 4.0 and the New Simulation Modelling Paradigm

Industry 4.0 and the New Simulation Modelling Paradigm

A standards-based approach for linking as-planned to as-fabricated product data

Full-Scale Discrete Event Simulation of an Automated Modular Conveyor System for Warehouse Logistics

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