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Journal of Engineering Innovations & Technology

Volume 3, 2021 - Issue 2

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Journal Article

Optimizing Supply Chain Management for Global Competitiveness

by Richard Miller
1
University of Cyprus
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Author to whom correspondence should be addressed.
JEIT  2021 3(2):83; https://doi.org/10.xxxx/xxxxxx
Received: 5 May 2021 / Accepted: 30 June 2021 / Published Online: 30 June 2021
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Abstract

This paper examines the optimization of supply chain management (SCM) for global competitiveness through AI-driven engineering. It investigates how artificial intelligence is revolutionizing traditional SCM practices, including demand forecasting, inventory management, and logistics optimization. Through case studies and research insights, the study highlights the application of AI techniques such as predictive analytics, machine learning, and optimization algorithms in enhancing the efficiency, agility, and resilience of supply chains. Additionally, it discusses the integration of AI with IoT sensors, blockchain technology, and predictive maintenance systems to enable real-time visibility, traceability, and risk mitigation across supply chain networks. The paper also addresses challenges such as data integration, interoperability, and supply chain disruptions in the adoption of AI-driven engineering solutions in SCM. It emphasizes the importance of collaboration among supply chain partners, technology providers, and policymakers to harness AI's potential in driving sustainable growth and competitive advantage in global markets.

Keywords: Artificial Intelligence; Engineering; Supply Chain Management; Global Competitiveness; Predictive Analytics; Machine Learning; IoT; Blockchain;
Copyright: © 2021 by Miller. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY) (Creative Commons Attribution 4.0 International License). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

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ACS Style
Miller, R. Optimizing Supply Chain Management for Global Competitiveness. Journal of Engineering Innovations & Technology, 2021, 3, 83. doi:10.xxxx/xxxxxx
AMA Style
Miller R. Optimizing Supply Chain Management for Global Competitiveness. Journal of Engineering Innovations & Technology; 2021, 3(2):83. doi:10.xxxx/xxxxxx
Chicago/Turabian Style
Miller, Richard 2021. "Optimizing Supply Chain Management for Global Competitiveness" Journal of Engineering Innovations & Technology 3, no.2:83. doi:10.xxxx/xxxxxx

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References

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