**Peer Review Journal ** DOI on demand of Author (Charges Apply) ** Fast Review and Publicaton Process ** Free E-Certificate to Each Author

Current Issues
     2026:3/2

Global Multidisciplinary Perspectives Journal

ISSN: (Print) | 3107-3972 (Online) | Impact Factor: 8.08 | Open Access

Artificial Intelligence in Supply Chain Optimization: Combining Operations Research, Data Science, and Logistics

Full Text (PDF)

Open Access - Free to Download

Download Full Article (PDF)

Abstract

The integration of Artificial Intelligence (AI) into supply chain optimization has revolutionized the way businesses manage their operations. By combining operations research, data science, and logistics, AI offers unprecedented opportunities to enhance efficiency, reduce costs, and improve decision-making processes. This article explores the role of AI in supply chain optimization, detailing the methodologies employed, the results achieved, and the implications for future research and practice. The discussion highlights the synergies between operations research, data science, and logistics, and how AI can be leveraged to address complex supply chain challenges. The article concludes with a summary of key findings and recommendations for further research.

How to Cite This Article

Dr. Carlos Rodriguez (2025). Artificial Intelligence in Supply Chain Optimization: Combining Operations Research, Data Science, and Logistics . Global Multidisciplinary Perspectives Journal (GMPJ), 2(1), 08-11.

Share This Article: