Sensor networks and intelligent automation systems for big data-driven smart manufacturing in cyber-physical connected environments

Abstract

Despite the relevance of big data-driven smart manufacturing, only limited research has been conducted on this topic. Using and replicating data from Accenture, Deloitte, Management Events, and PwC, I performed analyses and made estimates regarding current state of customer experience management (%), Industry 4.0 investments broken down by steps of the value chain (%, priorities), degree of digitization of the value chain by industry sector (%), top challenges in changing strategy and in preparing the workforce for Industry 4.0 (%), and worker time potentially augmented/automated by intelligent technologies (%). The results of a study based on data collected from 4,400 respondents provide support for my research model. Using the structural equation modeling and employing the probability sampling technique, I gathered and analyzed data through a self-administrated questionnaire.