Supply chain management (SCM) integrates all links and business processes involved in
the supply chain through the information management system. Applying artificial intelligence …

Research interests in machine learning (ML) and supply chain management (SCM) have
yielded an enormous amount of publications during the last two decades. However, in the …

Purpose: In recent years, a number of practical logistic applications of machine learning
(ML) have emerged, especially in Supply Chain Management (SCM). By linking applied ML …

In today's complex and ever‐changing world, concerns about the lack of enough data have
been replaced by concerns about too much data for supply chain management (SCM). The …

Purpose The purpose of this study is to investigate how artificial intelligence (AI), as well as
machine learning (ML) techniques, are being applied and implemented within supply chains …

Supply Chains (SC) are the network of facilities that include various entities in its network.
These entities should work cohesively to lower down the total cost of supply chain. This …

The study aims to identify the current trends, gaps, and research opportunities in research
pertaining to the disruptive field of artificial intelligence (AI) applications in supply chain …

Purpose This paper presents a review of the existing state-of-the-art literature on machine
learning (ML) in logistics and supply chain management (LSCM) by analyzing the current …

Nowadays, artificial intelligence (AI) is becoming a more effective digital domain promised to
facilitate immediate access to information and effective decision making in ever-increasing …

This paper seeks to identify the contributions of artificial intelligence (AI) to supply chain
management (SCM) through a systematic review of the existing literature. To address the …