Application of Artificial Intelligence in Supply Chain Revolutionizing Efficiency and Optimization
Publish place: International journal of industrial engineering and operational research، Vol: 5، Issue: 1
Publish Year: 1402
نوع سند: مقاله ژورنالی
زبان: English
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JR_BGS-5-1_004
تاریخ نمایه سازی: 16 بهمن 1402
Abstract:
The rapid development of artificial intelligence (AI) technologies has revolutionized various industries, including supply chain management. This paper aims to explore the application of AI in the supply chain and how it has transformed traditional operations by improving efficiency, reducing costs, and optimizing decision-making processes. Through an in-depth analysis of AI technologies such as machine learning, robotics, and natural language processing, this study provides an extensive overview of their implementation across different stages of the supply chain. Moreover, potential challenges and ethical considerations associated with AI adoption in the supply chain are discussed. Overall, this study underscores the immense potential of AI to enhance supply chain practices, pave the way for intelligent automation, and drive unprecedented levels of operational excellenceThe rapid development of artificial intelligence (AI) technologies has revolutionized various industries, including supply chain management. This paper aims to explore the application of AI in the supply chain and how it has transformed traditional operations by improving efficiency, reducing costs, and optimizing decision-making processes. Through an in-depth analysis of AI technologies such as machine learning, robotics, and natural language processing, this study provides an extensive overview of their implementation across different stages of the supply chain. Moreover, potential challenges and ethical considerations associated with AI adoption in the supply chain are discussed. Overall, this study underscores the immense potential of AI to enhance supply chain practices, pave the way for intelligent automation, and drive unprecedented levels of operational excellence
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Authors
Mehdi Khadem
Department of Industrial Management, Science and Research Branch, Islamic Azad University, Tehran, Iran
Akbar Khadem
Department of Electrical and Electronic Engineering, Garmsar Branch, Islamic Azad University, Garmsar, Iran
Shahram Khadem
Department of English language and Literature, Central Tehran Branch, Islamic Azad University, Tehran, Iran