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We develop a conceptual framework based on a systematic and comprehensive literature review on robotic wireless sensor networks, industrial artificial intelligence, and deep learning-assisted smart process planning in sustainable cyberphysical manufacturing systems. Building our argument by drawing on data collected from McKinsey, Ovum, PwC, and World Economic Forum, we performed analyses and made estimates regarding industrial big data analytics. The data for this research were gathered via an online survey questionnaire. Descriptive statistics of compiled data from the completed surveys were calculated when appropriate. JEL codes: E24; J21; J54; J64 Keywords: industrial artificial intelligence; cyber-physical manufacturing system
Journal of Self-Governance and Management Economics – Addleton Academic Publishers
Published: Jan 1, 2021
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