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VOLUME 15(4) • 2020

Artificial Intelligence-based Decision-Making Algorithms, Automated Production Systems, and Big Data-driven Innovation in Sustainable Industry 4.0

ABSTRACT. Despite the relevance of sustainable Industry 4.0, only limited research has been conducted on this topic. Using and replicating data from AlphaWise, CompTIA, Deloitte, Globant, McKinsey, Morgan Stanley, PAC, PwC, SME, and we.CONECT, we performed analyses and made estimates regarding the l..

Big Data-driven Decision-Making Processes, Industry 4.0 Wireless Networks, and Digitized Mass Production in Cyber-Physical System-based Smart Factories

ABSTRACT. This article presents an empirical study carried out to evaluate and analyze cyber-physical system-based smart factories. Building my argument by drawing on data collected from Accenture, Capgemini, Catapult, Deloitte, Forrester, Globant, MHI, PwC, and ZDNet, I performed analyses and made ..

Real-Time Sensor Networks, Advanced Robotics, and Product Decision-Making Information Systems in Data-driven Sustainable Smart Manufacturing

ABSTRACT. We draw on a substantial body of theoretical and empirical research on data-driven sustainable smart manufacturing, and to explore this, we inspected, used, and replicated survey data from BDV, Capgemini, Deloitte, MHI, PwC, Techconsult, we.CONECT, and World Economic Forum, performing anal..

Cognitive Automation, Big Data-driven Manufacturing, and Sustainable Industrial Value Creation in Internet of Things-based Real-Time Production Logistics

ABSTRACT. Employing recent research results covering Internet of Things-based real-time production logistics, and building our argument by drawing on data collected from BCG, CompTIA, Deloitte, IW Custom Research, Kronos, McKinsey, PAC, PwC, and Software AG, we performed analyses and made estimates ..

Internet of Things-enabled Sustainability, Industrial Big Data Analytics, and Deep Learning-assisted Smart Process Planning in Cyber-Physical Manufacturing Systems

ABSTRACT. We develop a conceptual framework based on a systematic and comprehensive literature review on cyber-physical manufacturing systems. Building our argument by drawing on data collected from Capgemini, Microsoft, Omdia, PwC, Software AG, World Economic Forum, we performed analyses and made e..

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