Deep Learning-enabled Smart Process Planning in Cyber-Physical System-based Manufacturing
Deep Learning-enabled Smart Process Planning in Cyber-Physical System-based Manufacturing
Author(s): Katarína Valášková, Odile Throne, Pavol Kral, Lucia MichalkovaSubject(s): Business Economy / Management
Published by: Addleton Academic Publishers
Keywords: smart process planning; cyber-physical system-based manufacturing;
Summary/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.
Journal: Journal of Self-Governance and Management Economics
- Issue Year: 8/2020
- Issue No: 1
- Page Range: 121-127
- Page Count: 7
- Language: English
- Content File-PDF