Читать книгу Artificial Intelligent Techniques for Wireless Communication and Networking - Группа авторов - Страница 63

P.J. Sathish Kumar1*, Ratna Kamala Petla2, K. Elangovan2 and P.G. Kuppusamy2

¹ Dept. of CSE, Panimalar Engineering College, Chennai, India

² Dept. of ECE, Siddharth Institute of Engineering & Technology (Autonomous), Puttur, India

Abstract

With Artificial Intelligence (AI) and Machine Learning (ML), which will further intensify the discrepancy between winners and losers, the logistics and supplies chain business are already changing their face. By removing deep-rooted shortcomings and complexities, artificial intelligence and machine learning provide creativity with insights into all the logistics and supply chain fields that people cannot easily copy on a scale. In the sense of more accurate capacity management, better efficiency, high quality, lower cost and better quality, artificial intelligent systems aim at achieving the efficient optimization expertise necessary in the logistics and supply chains while at the same time promoting safety. We present a brief description of recent developments and some relevant impacts in logistics and supply chain related to artificial intelligence. Since this is becoming a very large and rapidly growing field, we will not explore the entire application landscape, but concentrate primarily on logistics and supply chain related to artificial intelligence. Our goal is threefold: (i) to provide a complete theory behind logistics and supply chain in terms of impacts and trends; (ii) In order to have a future for the company to improve the logistics and the supply chain–automation exploitation.

Keywords: Artificial intelligence, logistics, machine learning, proactive systems, self learning, supply chain