Resilient Cyber-Physical Systems and Big Data Architectures in Industry 4.0: Smart Digital Factories, Automated Production Systems, and Innovative Sustainable Business Models.

Author:Nica, Elvira
 
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  1. Introduction

    Developments in data and communication systems provide massive prospects for supply chain intelligence and self-determination setting up means of advancement for Industry 4.0 supply chains. (Ghadimi et al., 2019) The accuracy of semantic service matching is pivotal for establishing the precision of performances in system operations, but the soundness of semantic service matching may not be achieved in elaborate settings. When Industry 4.0 adopts cloud computing techniques to attain superior workflows, a significant application is cloud-based decision-making, as various company partners have to agree upon a decision. (Li et al., 2019)

  2. Conceptual Framework and Literature Review

    Cyber-physical systems and big data can be implemented for resource productivity in Industry 4.0. (Li et al., 2019) A company would necessitate an effective Smart Human Resources 4.0 approach to manage the difficult tasks of Industry 4.0 evolution. (Sivathanu and Pillai, 2018) Business process management systems in Industry 4.0 attempt to upgrade manufacturing operations (Balica, 2018; Bolton et al., 2018; Hardingham et al., 2018; Mihaila et al., 2018; Pilkington, 2018; Popescu Ljungholm, 2018; Roberts and Marchais, 2018) to carry out superior system performance (e.g. more significant returns, swifter reaction, and higher quality services), being expected to digitize and automate manufacturing operation workflows and reinforce the unambiguous interoperations of service traders. (Viriyasitavat et al., 2018) Industry 4.0 represents a direction associated with smart factories--cyber-physical spaces utilized and supervised by collective intelligence for self-determining and extremely adjustable manufacturing goals. (Terziyan et al., 2018)

  3. Methodology and Empirical Analysis

    Building our argument by drawing on data collected from BCG, Business Insider, Deloitte, Gartner, IDC, PwC, and Statista, we performed analyses and made estimates regarding Industry 4.0 framework and contributing digital technologies (%), spending on Internet of Things worldwide by vertical in 2015 and 2020 (in billion U.S. dollars), technology developments that enable Service 4.0 (%), Internet of Things security spending worldwide (2016-2021, by segment, in million U.S. dollars), and awareness and usage of smartphone applications featuring machine learning (%). The data for this research were gathered via an online survey questionnaire and were analyzed through structural equation...

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