Cyber-Physical Systems, Internet of Things, and Big Data in Industry 4.0: Digital Manufacturing Technologies, Business Process Optimization, and Sustainable Organizational Performance.

Author:Plumpton, Deborah
  1. Introduction

    Industry 4.0 enables gathering significant knowledge from supervised assets via the utilization of smart controlling and data fusion approaches, in addition to the adoption of machine learning and enhancement procedures. Information science can adequately predict atypical behaviors in industrial equipments, tools, and operations, and thus anticipate grave events and damage that may bring about relevant economical deficiencies and safety problems. (Diez-Olivan et al., 2019)

  2. Conceptual Framework and Literature Review

    In Industry 4.0, Internet of Things provides cutting-edge transformational ways out for the functioning of numerous current industrial systems within the digital businesses of subsequent elaborate industrial ecosystems. (Xu et al., 2018) The breakthrough grasp of industry and its operations entails cutting-edge analytical tools that focus on superior coherence in the service of the consumers (Balica, 2017; Hoffman and Friedman, 2018; Lazaroiu, 2018; Popescu Ljungholm, 2018; Smith and Kubala, 2018), bringing about more significant market competitiveness. (Saucedo-Martinez et al., 2018) Prevailing Industry 4.0 remedies depend chiefly on analytics and smart things, but leave out high-class people technology (Giroux, 2017; Lazaroiu, 2017; Meila, 2018; Popescu et al., 2018; Stroe, 2019) and the anthropocentric strategy related to the Industry 4.0 paradigm. (Hahn, 2019)

  3. Methodology and Empirical Analysis

    Using and replicating data from BDO, Capgemini, eMarketer, Deloitte, the Manufacturer, McKinsey, Oracle, and PwC, I performed analyses and made estimates regarding the level of roles created due to artificial intelligence implementation (%), business areas affected by Industry 4.0 (%), greatest threats of inadequate Industry 4.0 investment (%), top challenges in changing strategy for Industry 4.0 and in implementing smart factory strategy (%), and levels of digital maturity by industry (%). Data were analyzed using structural equation modeling.

  4. Results and Discussion

    Industry 4.0 can result in the setting up of smart products and factories. (Fatorachian and Kazemi, 2018) Adoption of intelligent devices takes place in most companies, but the latter do not have to put into operation Industry 4.0 as a network of technologies. (Zavadska and Zavadsky, 2018) As Industry 4.0 will influence employees, enterprises, and integrated supply chains, the related degree of organizational intricacy is significant. (Agostini and Filippini, 2019) Decision-making patterns disunite administration between human and machine and assimilate human deciders and their implicit go-betweens into an influential collective of problem solvers or...

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