Link4Smart: A New Framework for Smart Manufacturing Linking Industry 4.0 Relevant Technologies

M. R. Valero, S. T. Newman, A. Nassehi

Research output: Contribution to journalConference articlepeer-review

8 Citations (SciVal)

Abstract

Smart Manufacturing (SM) epitomises the idea of connected, technology and data-driven factories that can provide the high levels of innovativeness and responsiveness required in today's fiercely competitive and unpredictable global market. With numerous SM-driven initiatives worldwide such as Industry 4.0 (I4.0), Made in China 2025 etc., SM developments have been fuelled by technological advances such as Cloud Computing, Big Data, Cyber-Physical Systems and the Internet of Things (IoT). This paper analyses the role of such technologies in SM and how they can be put into a coherent framework for the implementation of SM solutions, termed Link4Smart. This is illustrated with the Link4Smart factory concept, where horizontal integration (across the factory shop floor) and vertical integration (from machine to Engineering Resource Planning). With self-aware, self-predict, self-compare, self-configure, self-maintain and self-organized Link4Smart Machine Tools, smart manufacturing systems can change, update and/or adapt to daily production challenges.

Original languageEnglish
Pages (from-to)1594-1599
Number of pages6
JournalProcedia CIRP
Volume107
Early online date26 May 2022
DOIs
Publication statusPublished - 31 Dec 2022
Event55th CIRP Conference on Manufacturing Systems, CIRP CMS 2022 - Lugano, Switzerland
Duration: 29 Jun 20221 Jul 2022

Bibliographical note

Funding Information:
The authors would like to acknowledge the support of EPSRC project RC-ME4094 Designing the Future: Resilient Trans-Disciplinary Design Engineers.

Funding

The authors would like to acknowledge the support of EPSRC project RC-ME4094 Designing the Future: Resilient Trans-Disciplinary Design Engineers.

Keywords

  • Industry 4.0
  • Manufacturing System Design
  • Smart manufacturing

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Industrial and Manufacturing Engineering

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