2026-05-23T21:29:46Zhttps://keep.lib.asu.edu/oai/request

oai:keep.lib.asu.edu:node-1927482024-12-19T19:04:43Zoai_pmh:alloai_pmh:repo_items

192748 https://hdl.handle.net/2286/R.2.N.192748 http://rightsstatements.org/vocab/InC/1.0/ http://creativecommons.org/licenses/by-nc-sa/4.0 2024-05 52 pages Hildebrand, Ryan Printezis, Antonios Pofahl, Geoffrey Barrett, The Honors College School of International Letters and Cultures Department of Supply Chain Management Text Supply chain management is a complex field that deals with a variety of ever-changing factors, and artificial intelligence has the opportunity to create lots of value and drive efficiency if organizations can implement it effectively. This thesis examines the different types of AI based on functionality and capability and provides a brief overview of the history behind artificial intelligence. Different supply chain functions including demand forecasting, inventory management, route optimization, supply transparency, and safety and sustainability were analyzed before and after adding AI systems. After examining AI missteps and successes in recent years, a detailed roadmap was created to help decision-makers deal with the numerous complexities when implementing AI technology within a business to improve the supply chain. Supply Chain Management Artificial Intelligence Machine learning Case Studies Applying and Implementing AI Tools in Supply Chain Management