Networked Information-driven Technologies for Cyber-Physical System-based Smart Manufacturing.

Author:Keane, Eliot
  1. Introduction

    Both cyber--physical systems and digital twins lay the foundations for smart manufacturing by fashioning an insurmountable network between the cyber/digital and physical realms regulated by instantaneous sensing and analysis, autonomous decision making, and accurate performance. (Tao et al., 2019) Perceived upsides and management backing represent the two ingredients that serve as procedures in the carrying out of smart manufacturing information and digital technologies. (Ghobakhloo, 2019)

  2. Conceptual Framework and Literature Review

    Cutting-edge manufacturing systems are progressively equipped with sensors and interaction capabilities, while data-driven intelligence is instrumental in assessing big manufacturing data. (Wang et al., 2019) Cyber-physical systems-based manufacturing facilitates superior monitoring of production operations (Hoffman and Friedman, 2018; Lazaroiu et al., 2017; Nica, 2018; Popescu et al., 2018; Sion, 2018) by harnessing the Internet of Things to enhance pattern-based state evaluation and bias identification, and to perform technologically advanced tasks effectively. (Yao et al., 2019) Cyber-physical systems connected to accomplish smart manufacturing result in a computer-based algorithmic production architecture (Ignatyev and Nurtdinov, 2018; Nica et al., 2018; Popescu et al., 2019; Valaskova et al., 2018): cyber-physical systems work jointly in an intelligent manner to reach and preserve the standard of the manufacturing operation, manage disturbances, and comply with unstable conditions. (Rojas and Rauch, 2019)

  3. Methodology and Empirical Analysis

    Using and replicating data from Bain & Company, Deloitte, European Business Summit, Management Events, McKinsey, PwC, and World Economic Forum, I performed analyses and made estimates regarding current initiatives in digital concepts and design by CIOs (%), current priorities in digital platforms and solutions by CIOs (%), quality benefits of Industry 4.0 applications (%, degree of the effect), importance of the analysis and use of data for the business model (%), and significance of barriers to change, industries overall (%). Data were analyzed using structural equation modeling.

  4. Results and Discussion

    Industry 4.0 deals with the accomplishment of smart manufacturing, including the entire supply chain. (Ding et al., 2019) The cutting-edge manufacturing sector is subsidizing groundbreaking technologies (e.g. the Internet of Things, cloud computing, big data analytics, cybersecurity etc.) to handle system intricacy, boost data concreteness, enhance production performance, and offer consumers greater value worldwide. Smart manufacturing is a cyber-physical system soundly assimilating manufacturing companies in the physical realm with virtual ones in simulated reality. (Yang et al., 2019) Smart manufacturing is pivotal in enhancing the soundness of the process sector, by integrating...

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