A next-generation IoT-based collaborative framework for electronics assembly

In today’s dynamic manufacturing environments, the adoption of virtual reality (VR)-based simulation technologies to help in product and process design activities is becoming more widespread. With the onset of the next IT-oriented revolution involving global cyber manufacturing practices, the recent...

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Bibliographic Details
Published in:International journal of advanced manufacturing technology Vol. 96; no. 1-4; pp. 39 - 52
Main Authors: Krishnamurthy, Rajesh, Cecil, J.
Format: Journal Article
Language:English
Published: London Springer London 01.04.2018
Springer Nature B.V
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ISSN:0268-3768, 1433-3015
Online Access:Get full text
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Summary:In today’s dynamic manufacturing environments, the adoption of virtual reality (VR)-based simulation technologies to help in product and process design activities is becoming more widespread. With the onset of the next IT-oriented revolution involving global cyber manufacturing practices, the recent emergence of Internet of things (IoT)-related technologies holds significant promise in ushering an era of seamless information exchange which will provide a robust foundation for the next generation of smart manufacturing frameworks dependent on cyber physical system (CPS)-based principles, approaches, and technologies. In this paper, we present a broad framework for IoT-based collaborations involving the adoption of VR-based analysis environments networked with other cyber physical components. The process context for this VR-centered approach is electronics assembly, which involves the assembly of printed circuit boards. In such manufacturing contexts, it is essential to have a seamless flow of data/information among the various cyber physical components to ensure an agile collaborative strategy which can accommodate changing customer needs. VR-based simulation environments play a key role in this framework which supports multiple users collaborating using haptic interfaces and next-generation network technologies. The simulation outcomes and production data from physical shop floors can be compared and analyzed using this IoT framework and approach.
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ISSN:0268-3768
1433-3015
DOI:10.1007/s00170-017-1561-x