Virtual factory revisited for manufacturing data analytics

Jain, Sanjay; Shao, Guodong

doi:10.1109/wsc.2014.7019949

Cited by 22 publications

(18 citation statements)

References 15 publications

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“…The term virtual factory has been defined in multiple ways in the manufacturing research and application domains including as a high fidelity simulation, a virtual organisation, a virtual reality representation and an emulation facility (Jain and Shao 2014). This paper utilises the virtual factory definition as a high fidelity simulation of a manufacturing factory.…”

Section: Related Workmentioning

confidence: 99%

Manufacturing data analytics using a virtual factory representation

Jain

Shao

Shin

2017

International Journal of Production Research

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Large manufacturers have been using simulation to support decision-making for design and production. However, with the advancement of technologies and the emergence of big data, simulation can be utilised to perform and support data analytics for associated performance gains. This requires not only significant model development expertise, but also huge data collection and analysis efforts. This paper presents an approach within the frameworks of Design Science Research Methodology and prototyping to address the challenge of increasing the use of modelling, simulation and data analytics in manufacturing via reduction of the development effort. The use of manufacturing simulation models is presented as data analytics applications themselves and for supporting other data analytics applications by serving as data generators and as a tool for validation. The virtual factory concept is presented as the vehicle for manufacturing modelling and simulation. Virtual factory goes beyond traditional simulation models of factories to include multi-resolution modelling capabilities and thus allowing analysis at varying levels of detail. A path is proposed for implementation of the virtual factory concept that builds on developments in technologies and standards. A virtual machine prototype is provided as a demonstration of the use of a virtual representation for manufacturing data analytics.

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Section: Related Workmentioning

confidence: 99%

Manufacturing data analytics using a virtual factory representation

Jain

Shao

Shin

2017

International Journal of Production Research

Self Cite

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“…In later work, Jain and Shao [33] note the increasing production and availability of manufacturing data. They make the case for the revision of the Virtual Factory concept to utilize repositories of Big Data fed by the latest production line equipment and factory-based information systems.…”

Section: Virtual Factory: a Smart Factory In Waiting?mentioning

confidence: 99%

“…They make the case for the revision of the Virtual Factory concept to utilize repositories of Big Data fed by the latest production line equipment and factory-based information systems. Data Analytics is central to the enablement of the Virtual Factory in the opinion of Jain and Shao [33], with modeling and simulation essential tools to leverage and make sense of the data available. In the opinion of Jain and Shao [33], the Virtual Factory is, and should be, "a VR representation" for a factory, with 3-D environments and visualization essential for understanding and knowledge share [33].…”

Section: Virtual Factory: a Smart Factory In Waiting?mentioning

confidence: 99%

Discrete Event Simulation and Virtual Reality Use in Industry: New Opportunities and Future Trends

Turner

Hutabarat

Oyekan

et al. 2016

IEEE Trans. Human-Mach. Syst.

157

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This paper reviews the area of combined discrete event simulation (DES) and virtual reality (VR) use within industry. While establishing a state of the art for progress in this area, this paper makes the case for VR DES as the vehicle of choice for complex data analysis through interactive simulation models, highlighting both its advantages and current limitations. This paper reviews active research topics such as VR and DES real-time integration, communication protocols, system design considerations, model validation, and applications of VR and DES. While summarizing future research directions for this technology combination, the case is made for smart factory adoption of VR DES as a new platform for scenario testing and decision making. It is put that in order for VR DES to fully meet the visualization requirements of both Industry 4.0 and Industrial Internet visions of digital manufacturing, further research is required in the areas of lower latency image processing, DES delivery as a service, gesture recognition for VR DES interaction, and linkage of DES to real-time data streams and Big Data sets.

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“…Finally, the full integration of DES, VR, and RGBD sensor open up tantalizing possibilities of creating a fully synced, up-to-date 'virtual factory' (Jain and Shao 2014;Yang et al 2015) which will lend itself to the simulation analytics approach proposed by Nelson (2016).…”

Section: Envisioned System Integrationmentioning

confidence: 99%

Combining virtual reality enabled simulation with 3D scanning technologies towards smart manufacturing

Hutabarat¹,

Oyekan²,

Turner³

et al. 2016

2016 Winter Simulation Conference (WSC)

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Recent introduction of low-cost 3D sensing and affordable immersive virtual reality have lowered the barriers for creating and maintaining 3D virtual worlds. In this paper, we propose a way to combine these technologies with discrete-event simulation to improve the use of simulation in decision making in manufacturing. This work will describe how feedback is possible from real world systems directly into a simulation model to guide smart behaviors. Technologies included in the research include feedback from RGBD images of shop floor motion and human interaction within full immersive virtual reality that includes the latest headset technologies.

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Virtual factory revisited for manufacturing data analytics

Cited by 22 publications

References 15 publications

Manufacturing data analytics using a virtual factory representation

Manufacturing data analytics using a virtual factory representation

Discrete Event Simulation and Virtual Reality Use in Industry: New Opportunities and Future Trends

Combining virtual reality enabled simulation with 3D scanning technologies towards smart manufacturing

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