Cyber-Physical Process Monitoring Systems, Artificial Intelligence-based Decision-Making Algorithms, and Sustainable Industrial Big Data in Smart Networked Factories
Cyber-Physical Process Monitoring Systems, Artificial Intelligence-based Decision-Making Algorithms, and Sustainable Industrial Big Data in Smart Networked Factories

Summary/Abstract: This paper analyzes the outcomes of an exploratory review of the current research on cyber-physical process monitoring systems, artificial intelligence-based decision-making algorithms, and sustainable industrial big data in smart networked factories. The data used for this study was obtained and replicated from previous research conducted by Algorithmia, Capgemini, Forrester, Management Events, and PwC. We performed analyses and made estimates regarding how big data-driven algorithms and tools can enable product realization by use of networks of smart connected devices and sensors, pattern-detecting decision-making equipment, and machine learning-based tools, leading to precise and real-time data gathering and analysis, while big data analytics applications across industrial plants are decisive in configuring digital manufacturing options for automated production. Data collected from 5,600 respondents are tested against the research model. Descriptive statistics of compiled data from the completed surveys were calculated when appropriate.

• Details
• Contents