Cyber-Physical Production Systems in Industry 4.0: Smart Factory Performance, Manufacturing Process Innovation, and Sustainable Supply Chain Networks.

AuthorFelstead, Mathilde
  1. Introduction

    Industry 4.0 is producing profound transformations in manufacturing sectors (Pacchini et al., 2019), bringing about alterations in business operations and work strategies, and thus leading to new job descriptions in companies. (Pejic-Bach et al., 2019) Carrying out and harnessing Industry 4.0 necessitates refashioning the corporate and communication culture, because data is extremely important in subsequent value creation. (Veile et al., 2019)

  2. Conceptual Framework and Literature Review

    The value of Industry 4.0 chiefly inheres in the networking of operational phases along the value chain. (Muller et al., 2019) Cyber-physical systems represent cutting-edge engineering systems, in which data processing, interaction, and monitoring technologies are straightforwardly assimilated (Andrei et al., 2016; Koppel and Kolencik, 2018; Lazaroiu et al., 2017; Nica et al., 2018; Popescu et al., 2018), setting up groundbreaking self-governing logistics. (Delicato et al., 2019) Administrative opposition at both personnel and middle management levels may considerably impede the implementation of Industry 4.0 technologies that can alter organizational functions. (Horvath and Szabo, 2019) Small production companies can harness their data technology resources to advance lean-digitized manufacturing systems (Bikar and Sedliacikova, 2018; Kubik and Zuvala, 2018; Nica, 2017; Popescu Ljungholm, 2017) that provide constant competitiveness across Industry 4.0. (Ghobakhloo and Fathi, 2019)

  3. Methodology and Empirical Analysis

    Building my argument by drawing on data collected from Forrester Consulting, McKinsey, Ovum, PwC, and Statista, I performed analyses and made estimates regarding organizations' level of reliance on automation, machine learning and artificial intelligence (%), top Internet of Things drivers (%), activities required to manage the digital thread (%), and the importance of organizations' current or planned Internet of Things initiatives to their business priorities (%). The data for this research were gathered via an online survey questionnaire and were analyzed through structural equation modeling on a sample of 4,200 respondents.

  4. Results and Discussion

    Industry 4.0 is presently developing technologically advanced workplaces into sensor-assisted networked settings: both body-near wearables and automated equipments generate massive volumes of data. (Koren and Klamma, 2018) Industry 4.0 assimilates cyber-physical systems into the Internet of Things to upgrade the entire value-added chain. (Wortmann et al., 2019) Industry 4.0 will enhance output, further economic growth, and establish the soundness of production firms. (Rosin et al., 2019) Automation in inter-organizational processes advances self-steering logistics networks as cost pressure drives organizations to make operations more coherent and find solutions to saving capacities. (Hofmann et al., 2019) (Tables 1-8)

  5. Conclusions and Implications

    Software-defined network constitutes an adequate option in setting up a realtime networking system in Industry 4.0. (Zeng et al., 2019) Significantly shaped by the development of Industry 4.0 technologies, smart...

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