Volume 7(3), 2019
The Smart Cyber-Physical Systems of Sustainable Industry 4.0: Innovation-driven Manufacturing Technologies, Creative Cognitive Computing, and Advanced Robotics
ABSTRACT. This research investigates the smart cyber-physical systems of sustainable Industry 4.0. Building my argument by drawing on data collected from Ad Hoc Research, BCG, BDO, CIO, DAA, EY, IoT Analytics GmbH, and McKinsey, I performed analyses and made estimates regarding qualifications needed..
Real-World Implementation of Cyber-Physical Production Systems in Smart Manufacturing: Cognitive Automation, Industrial Processes Assisted by Data Analytics, and Sustainable Value Creation Networks
ABSTRACT. The purpose of this study was to empirically examine real-world implementation of cyber-physical production systems in smart manufacturing. 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..
Business Models for Sustainable Innovation in Industry 4.0: Smart Manufacturing Processes, Digitalization of Production Systems, and Data-driven Decision Making
ABSTRACT. Despite the relevance of business models for sustainable innovation in Industry 4.0, only limited research has been conducted on this topic. Using and replicating data from Ad Hoc Research, BCG, BDO, Capgemini, CIO, EY, and McKinsey, we performed analyses and made estimates regarding the e..
Cyber-Physical Production Networks and Advanced Digitalization in Industry 4.0 Manufacturing Systems: Sustainable Supply Chain Management, Organizational Resilience, and Data-driven Innovation
ABSTRACT. Empirical research provides mixed results regarding the relationship between cyber-physical production networks and advanced digitalization in Industry 4.0 manufacturing systems. Using and replicating data from Active Idea, AI Group, BDO, Capgemini, CIO, DAA, EY, IoT Analytics GmbH, McKins..
Big Data Analytics in Industry 4.0: Sustainable Industrial Value Creation, Manufacturing Process Innovation, and Networked Production Structures
ABSTRACT. Empirical research provides mixed results regarding big data analytics in Industry 4.0. The data used for this study was obtained and replicated from previous research conducted by BDO, Capgemini, CIO, Deloitte, EY, McKinsey, OSF, and PwC. We performed analyses and made estimates regarding..