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  •   Dhanesh Thatikonda

Abstract

Artificial intelligence (AI) was introduced to develop and create “thinking machines” that are capable of mimicking, learning, and replacing human intelligence. Since the late 1970s, AI has shown great promise in improving human decision-making processes and the subsequent productivity in various business endeavors due to its ability to recognize business patterns, learn business phenomena, seek information, and analyze 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 past record of success in AI applications to SCM and identifies the most fruitful areas of SCM in which to apply AI.

Keywords: Artificial Intelligence, Supply Chain Management, Knowledge Management, Risk Management

References

Thatikonda, Dhanesh. “Recent Information Technology Trend of Using Machine Learning in Manufacturing Scheduling.” International Journal of Science and Research (IJSR) 9, no. 7 (2020): 1087–88. doi:10.21275/SR20712050357.

Meng, Fanwen. “Supply Chain Risk Management.” International Journal of Information and Decision Sciences (2008): n. pag. Print.

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How to Cite
[1]
Thatikonda, D. 2020. AI-Supply chain Risk Management during Pandemic. European Journal of Electrical Engineering and Computer Science. 4, 6 (Nov. 2020). DOI:https://doi.org/10.24018/ejece.2020.4.6.252.