Real-World Implementation of Cyber-Physical Production Systems in Smart Manufacturing: Cognitive Automation, Industrial Processes Assisted by Data Analytics, and Sustainable Value Creation Networks.

Author:Drennan-Stevenson, Kathryn
  1. Introduction

    Industry 4.0 is reshaping decision-making processes within the production sector. Data analytics can enhance the manufacturing cycle at various phases, from resource allotment to design, distribution, and storage. (Para et al., 2019) Processes of bounded facilities unassociated with worldwide operations may lead to decreased international synergies. (Telukdarie et al., 2018) Sensor-based and cognitive assistance systems have transformed manufacturing with the development of Industry 4.0. (Rauch et al., 2019)

  2. Conceptual Framework and Literature Review

    The current business realm is typified by fierce competitive exigencies and increasing market demands. Expanded requirements for customized and cutting-edge products in addition to urgency for enhancing efficiency and receptiveness (Celi and Viti, 2018; Lazaroiu, 2018; Meila, 2018; Pilkington, 2017; Smekalova, 2018) entail reorganized manufacturing systems that are significantly adjustable, responsive, and adequate for handling additional intricacy. High degree of assimilation, congruence, and synergy between business operations (Grossman, 2018; Lord, 2018; Mirica (Dumitrescu), 2018; Shang et al., 2018; Stewart and Mika, 2018) necessitates implementation of smart technological advancements such as Internet of Things and cyber-physical systems that facilitate transparency, actual data sharing and connectivity, all instrumental to Industry 4.0. (Fatorachian and Kazemi, 2018)

  3. Methodology and Empirical Analysis

    Building my argument by drawing on data collected from Ad Hoc Research, BDO, CIO, DAA, EY, IoT Analytics GmbH, McKinsey, and PwC, I performed analyses and made estimates regarding how companies want to deploy disruptive technologies (%), the biggest challenges in implementing Industry 4.0 solutions (%), and disruptive technologies that will enable digitization of the manufacturing sector (%). The structural equation modeling technique was used to test the research model.

  4. Results and Discussion

    Industry 4.0 comprises groundbreaking automation systems, information exchanges, and manufacturing technologies, involving cyber-physical systems, values of objects, and Internet services. (Oztemel and Gursev, 2018) Smart manufacturing and Industry 4.0 production settings incorporate the physical and decisional features of production operations into self-governing and decentralized systems. Industry 4.0 displays patterns in which self-determining agents communicate in partitioned...

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