Volume : 5, Issue : 8, AUG 2019

A THEORETICAL ANALOGY ON ARTIFICIAL INTELLIGENCE ENABLED SUPPLY CHAIN SERVICES

DR. R. PREMKUMAR, DR.D.KALPANA, SHEBINSHARIEF

Abstract

Artificial intelligence (AI) was introduced to develop and create “thinking machines” that are capable of imitating, learning, and replacing human intelligence. AI has shown great promise in enlightening human decision-making processes and the subsequent productivity in various business endeavours due to its ability to identify business patterns, study business phenomena, seek information, and analyse data intelligently. Despite its widespread acceptance as a decision-aid tool, AI has seen limited application in supply chain management (SCM). To fully exploit the potential benefits of AI for SCM, this paper explores various sub-fields of AI that are most suitable for solving practical problems relevant to SCM. In so doing, this paper reviews the awareness level as well as the reasons that make AI preferable to SCM and identifies the most fruitful areas of SCM in which to apply AI and the major challenges that stood in way of AI implementation.

Keywords

ARTIFICIAL INTELLIGENCE, SUPPLY CHAIN MANAGEMENT, KEY AREAS.

Article : Download PDF

Cite This Article

Article No : 13

Number of Downloads : 66

References

1. Jon Kleinberg, “Human Decisions and Machine Predictions”, National Bureau of Eco-nomic Research (Cambridge, Mass: Feb. 2017). 2. Tim Bradshaw, “Tech Leaders at Davos Fret over Effect of AI on Jobs,” Financial Times (Jan 20, 2017); 3. Stuart Armstrong, KajSotala, and Sean Eigeartaigh“ The errors, insights and lessons of famous AI predictions and what they mean for the future". Journal of Experimental & Theoretical Artificial Intelligence ahead-of-print (2014) 4. JurgenBranke“ Multiobjective optimization: Interactive and evolutionary approaches”. Vol. 5252.Springer Science & Business Media, 2008. 5. Stuart J. Russell and Peter Norvig, “Artificial Intelligence: A Modern Approach”, 3rd ed. (N.J.: Pearson, 2010). 6. Nils J. Nilsson, The Quest for Artificial Intelligence: A History of Ideas and Achieve-ment. (Cambridge: Cambridge University Press, 2009).