VOLUME 15(2) • 2020
Sensing, Smart, and Sustainable Technologies in Cyber-Physical Manufacturing Systems
ABSTRACT. Empirical evidence on sensing, smart, and sustainable technologies in cyber-physical manufacturing systems has been scarcely documented in the literature. Using and replicating data from BCG, Capgemini, CompTIA, IW Custom Research, Kronos, Omdia, and PAC, we performed analyses and made est..
Smart Connected Sensors, Cyber-Physical Networks, and Big Data Analytics Systems in Internet of Things-based Real-Time Production Logistics
ABSTRACT. I develop a conceptual framework based on a systematic and comprehensive literature review on Internet of Things-based real-time production logistics. Building my argument by drawing on data collected from Capgemini, CGI, CompTIA, and PwC, I performed analyses and made estimates regarding ..
Internet of Things Sensing Networks, Deep Learning-enabled Smart Process Planning, and Big Data-driven Innovation in Cyber-Physical System-based Manufacturing
ABSTRACT. Based on an in-depth survey of the literature, the purpose of the paper is to explore cyber-physical system-based manufacturing. Using and replicating data from Capgemini, CompTIA, EY, Microsoft, PAC, and PwC, we performed analyses and made estimates regarding the relationship between Inte..
Artificial Intelligence-based Decision-Making Algorithms, Internet of Things Smart Devices, and Real-Time Process Monitoring in Sustainable Industry 4.0
ABSTRACT. I draw on a substantial body of theoretical and empirical research on sustainable Industry 4.0, and to explore this, I inspected, used, and replicated survey data from Capgemini, CompTIA, IW Custom Research, Kronos, and PAC, performing analyses and making estimates regarding technologies t..
Sustainable Value Creation Networks, Digitized Mass Production, and Networked Information-driven Technologies in Industry 4.0-based Manufacturing Systems
ABSTRACT. This article presents an empirical study carried out to evaluate and analyze Industry 4.0-based manufacturing systems. Building our argument by drawing on data collected from Capgemini, CompTIA, IW Custom Research, Kronos, The Manufacturer, and PwC, we performed analyses and made estimates..