There has been a paradigmatic shift in manufacturing as computing has transitioned from the programmable to the cognitive computing era. In this paper we present a theoretical framework for understanding this paradigmatic shift in manufacturing and the fast evolving role of artificial intelligence. Policy, Strategic and Operational implications are discussed. Implications for the future of strategy and operations in manufacturing are also discussed. Future research directions are presented.
Artificial Intelligence and Robotics | Business Administration, Management, and Operations | Manufacturing | Operations and Supply Chain Management
report: 10.22237/waynestaterepo/business_frp/1592438460 Data File: 10.22237/waynestaterepo/business_frp/1592438400
Sharma, Ajit; Zhang, Zhibo; and Rai, Rahul, "Machine Learning in Manufacturing: Review, Synthesis, and Theoretical Framework" (2020). Business Administration Faculty Research Publications. 2.