Impact of Machine Learning on Supply Chain Optimization

Authors

  • Aakash Ramesh Deore
  • Najla Shafighi
  • Anahita Amini Hajibashi

DOI:

https://doi.org/10.14738/abr.1212.18101

Keywords:

Artificial intelligence, Machine learning, Costs, Green supply chain management, Command forecasting, Advancement in technology, Sustainable development, Manufacturing Industry

Abstract

Supply chain optimization or SCO is the progression that manages the manufacturing industry of Germany and the rate of construction. The study aims to and the consequence of machine learning or ML on SCO of the manufacturing companies in Germany focusing on automobile and Internet of Things (IoT) equipment manufacturing companies. From the study, it will be concluded that the SCO system desires more precision in the supervision system from the employees of the business industry.

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Published

2024-12-28

How to Cite

Deore, A. R., Shafighi, N., & Hajibashi, A. A. (2024). Impact of Machine Learning on Supply Chain Optimization. Archives of Business Research, 12(12), 112–126. https://doi.org/10.14738/abr.1212.18101

Issue

Vol. 12 No. 12 (2024): Archives of Business Research

Section

Articles

License

Copyright (c) 2024 Aakash Ramesh Deore, Najla Shafighi, Anahita Amini Hajibashi

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

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