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We draw on a substantial body of theoretical and empirical research on big data-driven decision-making processes, real-time advanced analytics, and cyber-physical production networks in Industry 4.0-based manufacturing systems, and to explore this, we inspected, used, and replicated survey data from BDV, Capgemini, Deloitte, McKinsey, MHI, and Siemens, performing analyses and making estimates regarding how a smart production planning and control system harnesses Internet of Things sensing networks and Internet of Things-based real-time production logistics by use of industrial big data analytics and machine learning algorithms. Descriptive statistics of compiled data from the completed surveys were calculated when appropriate.