Smart Production Systems in Industry 4.0: Sustainable Supply Chain Management, Cognitive Decision-Making Algorithms, and Dynamic Manufacturing Processes.

Author:Bourke, Eilis
  1. Introduction

    Cyber-physical systems, the essential notion of Industry 4.0 for setting up smart factories (Jiang, 2018), are firmly associated with big data in nature and will ceaselessly produce massive volumes of information which necessitates the big data techniques to handle and assistance in enhancing system adjustability, security, and coherence. (Xu and Duan, 2019)

  2. Conceptual Framework and Literature Review

    Integration, stabilization, and synchronized applications are a pivotal matter in the Industry 4.0 setting, as the confines of distinct factories will disappear. Factories in various industrial sectors and geographical areas will be harmonized or assimilated. A company will have some available legacy systems that it aims to go on embracing while connecting an innovative array of applications to the process. (Xu et al., 2018) An important aspect in Industry 4.0 is the handling of the immense quantities of data (Campbell et al., 2017; Ciobanu et al., 2019; Havu, 2017; Ionescu, 2018; Nordberg, 2017; Popescu Ljungholm, 2018; Vochozka et al., 2018) exchanged among its dissimilar concatenated systems. (Mourtzis et al., 2019) As key participants for a worldwide sustainable advancement, industrial entities have to reposition in the direction of a trendsetting pattern which highlights sustainable value creation as its industrial counterpart has encountered deep-seated changes lately. (Stock et al., 2018)

  3. Methodology and Empirical Analysis

    Using and replicating data from Accenture, BCG, BI Intelligence, Capgemini, eMarketer, Frontier Economics, Gartner, PwC, Statista, and Zebra Technologies, I performed analyses and made estimates regarding technology developments that enable Service 4.0 (%), Internet of Things security spending worldwide (2016-2021, by segment, in million U.S. dollars), potential impact of artificial intelligence on real gross value added worldwide (%, by country, by 2035), retailers planning to invest in artificial intelligence and Internet of Things technologies by 2021 (%), and benefits of implementing artificial intelligence (%). Data were analyzed using structural equation modeling.

  4. Results and Discussion

    Cyber-physical systems and big data can be applied to attain customization and enhance resource coherence in Industry 4.0. (Xu and Duan, 2019) In conformity with the examination of massive volumes of information and realtime condition data set of machine devices and additional resources, by deep learning and...

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