Volume 8(2), 2020
Networked, Smart, and Responsive Devices in Big Data-driven Manufacturing
ABSTRACT. The purpose of this study was to empirically examine networked, smart, and responsive devices in big data-driven manufacturing. Building our argument by drawing on data collected from CompTIA, KPMG, McKinsey, PAC, and PwC, we performed analyses and made estimates regarding challenges regar..
Industrial Big Data, Cognitive Decision-Making Algorithms, and Sustainable Production Processes in Cyber-Physical Smart Manufacturing Systems
ABSTRACT. This paper analyzes the outcomes of an exploratory review of the current research on cyber-physical smart manufacturing systems. The data used for this study was obtained and replicated from previous research conducted by Frost & Sullivan. I performed analyses and made estimates regard..
Cyber-Physical Production Networks, Real-Time Big Data Analytics, and Cognitive Automation in Sustainable Smart Manufacturing
ABSTRACT. Despite the relevance of smart sustainable data-driven manufacturing, only limited research has been conducted on this topic. Using and replicating data from BCG, CompTIA, PAC, PwC, and Techconsult, I performed analyses and made estimates regarding smart factory initiatives evaluated, plan..
Industrial Artificial Intelligence, Business Process Optimization, and Big Data-driven Decision-Making Processes in Cyber-Physical System-based Smart Factories
ABSTRACT. Employing recent research results covering cyber-physical system-based smart factories, and building our argument by drawing on data collected from Accenture, CompTIA, Omdia, and PwC, we performed analyses and made estimates regarding development programs which govern the flow of data thro..
Sustainable Industrial Value Creation, Automated Production Systems, and Real-Time Sensor Networks in Big Data-driven Smart Manufacturing
ABSTRACT. The aim of this paper is to synthesize and analyze existing evidence on big data-driven smart manufacturing. Using and replicating data from Capgemini, CompTIA, IW Custom Research, Kronos, Microsoft, and PwC, we performed analyses and made estimates regarding top challenges in formulating ..