Smart logistics and data-driven decision-making processes in cyber-physical manufacturing systems

Abstract

Despite the relevance of the relationship between smart logistics and data-driven decision-making processes, only limited research has been conducted on this topic. Using and replicating data from AMG World, The Boston Consulting Group, Deloitte, KSM, MIT Sloan Management Review, PwC, and SME, I performed analyses and made estimates regarding how manufacturers are addressing smart manufacturing (%), adoption level of artificial intelligence in organizations (%), and manufacturing modernization priorities (%). The results of a study based on data collected from 4,200 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. JEL Codes: E24; J21; J54; J64.