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- Publisher
- Addleton Academic Publishers
- Copyright
- © 2009 Addleton Academic Publishers
- ISSN
- 2329-4175
- eISSN
- 2377-0996
- Publisher site
- See Article on Publisher Site
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. JEL codes: E24; J21; J54; J64 Keywords: smart process planning; cyber-physical system-based manufacturing
Journal
Journal of Self-Governance and Management Economics – Addleton Academic Publishers
Published: Jan 1, 2020