AI In Operations Management: Applications, Challenges and Opportunities
Document Type
Article
Publication Date
2-21-2020
School
Management
Abstract
We have witnessed unparalleled progress in artificial intelligence (AI) and machine learning (ML) applications in the last two decades. The AI technologies have accelerated advancements in robotics and automation, which have significant implications on almost every aspect of businesses, and especially supply chain operations. Supply chains have widely adopted smart technologies that enable real-time automated data collection, analysis, and prediction. In this study, we review recent applications of AI in operations management (OM) and supply chain management (SCM). Specifically, we consider the innovations in healthcare, manufacturing, and retail operations, since collectively, these three areas represent a majority of the AI innovations in business as well as growing problem areas. We discuss primary challenges and opportunities for utilizing AI in those industries. We also discuss trending research topics with significant value potential in these areas.
Publication Title
Journal of Data, Information and Management
Volume
2
First Page
67
Last Page
74
Recommended Citation
Dogru, A. K.,
Keskin, B. B.
(2020). AI In Operations Management: Applications, Challenges and Opportunities. Journal of Data, Information and Management, 2, 67-74.
Available at: https://aquila.usm.edu/fac_pubs/17753