Deep learning-enabled smart process planning in cyber-physical system-based manufacturing

Abstract

Empirical evidence on deep learning-enabled smart process planning has been scarcely documented in the literature. Using and replicating data from Deloitte, KSM, PwC, SME, Statista, and Tractica, we performed analyses and made estimates regarding top challenges to implementing smart manufacturing solutions (%) and business organizations’ reasons for adopting artificial intelligence (%). Data were analyzed using structural equation modeling.