Big Data-driven Smart Manufacturing: Sustainable Production Processes, Real-Time Sensor Networks, and Industrial Value Creation.

• Date: 01 March 2020
• Author: Kovacova, Maria

1. Introduction

   Production is getting to be smart at all stages from the physical device, via enterprise administration, to manufacturing networks, gaining proficiency in assimilating knowledge, fashioning, and accomplishing cognitive intelligence. (Lu et al., 2020) Smart manufacturing provides significant consistency, accessibility, maintainability, and safety of the production operations. (Soualhi et al., 2020)

2. Conceptual Framework and Literature Review

   The advancement of Internet of Things has shaped smart manufacturing companies and tracking applications. An increasing volume of data is produced from numerous, incongruous (Cardoso Jr., 2019; Johansson, 2019; Lazaroiu, 2017; Nica et al., 2018; Popescu, 2014), and consolidated (Dubman, 2019; Kliestik et al., 2018; Lazaroiu et al., 2020; Olsen, 2019; Popescu et al., 2017) manufacturing resources objects, disputing centralized decision. (Zhao et al., 2020) Reducing the computational intricacy demanded by the homogenization of various functions (Bekken, 2019; Gray-Hawkins et al., 2019; Kmecova, 2018; Nica et al., 2014; Slaby, 2019) is a relevant feature of breakthrough manufacturing planning systems. (Kumar et al., 2020)

3. Methodology and Empirical Analysis

   Using and replicating data from AMG World, Deloitte, European Business Summit, Forbes, KSM, McKinsey, PwC, SME, and World Economic Forum, we performed analyses and made estimates regarding most powerful benefits of smart manufacturing (%) and drivers of technological change, industries overall (%). Data were analyzed using structural equation modeling.

4. Results and Discussion

   Industry gradually advances towards digitally-enabled smart enterprises that harness the Internet of Things to carry out cutting-edge manufacturing notions such as predictive maintenance or broad machine-to-machine networking. (Egger and Masood, 2020) The progress of industrial systems to smart manufacturing is determined by the buildout of highly linked resources across the entire process. (Derigent et al., 2020) (Tables 1-10)

5. Conclusions and Implications

   Smart manufacturing is typified as streamlined industrial unit production, swift and groundbreaking feedback to variable changes, and a harnessing of first-rate inter-cooperation networks. (Huang et al., 2020) Smart manufacturing, as an advancing production framework, uses far-reaching in-context data from cyber-physical systems for automated/autonomous decision-making. (Zheng and Sivabalan, 2020)

   Note

   The interviews were conducted online and data were weighted by five variables (age, race/ethnicity, gender, education, and geographic region) using the Census Bureau's American Community Survey to reflect reliably and accurately the demographic composition of the United States. The precision of the online polls was measured using a Bayesian credibility interval.

   Data and Materials Availability

   All research mentioned has been...