Sustainable Manufacturing in Industry 4.0: Cross-Sector Networks of Multiple Supply Chains, Cyber-Physical Production Systems, and AI-driven Decision-Making.

Author:Hayhoe, Terry
  1. Introduction

    The embracing of Industry 4.0 technologies boosts product quality and makes manufacturing operations more systematized. (Tortorella and Fettermann, 2018) Essential elements of Industry 4.0, cyber-physical systems and the Internet of Things facilitate distributed computing and self-determination that are commonly not identifiable in established centralized information and communications technology systems. (Buer et al., 2018)

  2. Conceptual Framework and Literature Review

    The inherent impact of workflow administration to an Industry 4.0 setting is to automatically monitor operation-related data and make it accessible across the whole system. (Xu et al., 2018) The technologies and configurations that are advancing as components of Industry 4.0 integrate significant intricacy in the rhetoric of automation, because of the influx of self-determining and partially autonomous agents that network with systems of applications. (Fantini et al., 2018)

  3. Methodology and Empirical Analysis

    Building our argument by drawing on data collected from BCG, Deloitte, LMTPE-RWTH Aachen University, PwC, and Statista, we performed analyses and made estimates regarding awareness and usage of smartphone applications featuring machine learning (%), elements that are expected to be highly relevant along the automotive value chain in 2030 (%), and share of companies investing in artificial intelligence worldwide (%, by industry). Data collected from 4,600 respondents are tested against the research model by using structural equation modeling.

  4. Results and Discussion

    The Internet of Things is Industry 4.0's galvanizing technology and product-use information is its essential network resource. (Schroeder et al., 2019) With the goals of attaining the shared, synergetic and automated design and production enterprise, Industry 4.0 and its related implementations employ advanced technologies (e.g. Internet of Things, cyber-physical system, big data analytics, and cloud computing) that facilitate the gathering and relocating of industrial input via an integration of building blocks (e.g. sensors, software, and electronics). (Li et al., 2019) (Tables 1-5)

  5. Conclusions and Implications

    Smart technologies as a vital constituent of Industry 4.0 particularly are in harmony with series and mass manufacturing (Balica, 2018; Chessell, 2018; Ionescu, 2018; Koppel and Kolencik, 2018; Machan, 2017; Mengoli et al., 2017; Sponte (Pistalu), 2018) of constant operations and...

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