EconPapers    
Economics at your fingertips  
 

Future Trends: AI and Beyond

Işık Biçer
Additional contact information
Işık Biçer: York University

Chapter Chapter 9 in Supply Chain Analytics, 2023, pp 281-292 from Springer

Abstract: Abstract In this chapter, we discuss the potential of artificial intelligence (AI) to transform supply chains digitally. We elaborate on some future trends of AI and how AI can be adapted to solve some important supply chain problems. We argue that the misspecification problems in artificial neural networks (ANNs) could be an obstacle hindering the adaption of AI in supply chain management. Another weakness of ANNs is their incapability of planning complex action sequences. Nevertheless, we are optimistic that once these issues are addressed by researchers, AI has the potential to revolutionize supply chains.

Keywords: Deep learning; Artificial neural networks; Activation functions (search for similar items in EconPapers)
Date: 2023
References: Add references at CitEc
Citations:

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:sptchp:978-3-031-30347-0_9

Ordering information: This item can be ordered from
http://www.springer.com/9783031303470

DOI: 10.1007/978-3-031-30347-0_9

Access Statistics for this chapter

More chapters in Springer Texts in Business and Economics from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().

 
Page updated 2025-04-01
Handle: RePEc:spr:sptchp:978-3-031-30347-0_9