Artificial intelligence applications in supply chain: A descriptive bibliometric analysis and future research directions
Today's supply chains are very different from those of just a few years ago, and they
continue to evolve within an extremely competitive economy. Dynamic supply chain …
continue to evolve within an extremely competitive economy. Dynamic supply chain …
Application of machine learning in supply chain management: a comprehensive overview of the main areas
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been replaced by concerns about too much data for supply chain management (SCM).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 …
been replaced by concerns about too much data for supply chain management (SCM). The …
Vaccine supply chain management: An intelligent system utilizing blockchain, IoT and machine learning
Vaccination offers health, economic, and social benefits. However, three major issues—
vaccine quality, demand forecasting, and trust among stakeholders—persist in the vaccine …
vaccine quality, demand forecasting, and trust among stakeholders—persist in the vaccine …
Artificial intelligence-driven risk management for enhancing supply chain agility: A deep-learning-based dual-stage PLS-SEM-ANN analysis
This study posits that the use of artificial intelligence (AI) enables supply chains (SCs) to
dynamically react to volatile environments, and alleviate potentially costly decision-makings …
dynamically react to volatile environments, and alleviate potentially costly decision-makings …
Fusion-based supply chain collaboration using machine learning techniques
Supply Chain Collaboration is the network of various entities that work cohesively to make
up the entire process. The supply chain organizations' success is dependent on integration …
up the entire process. The supply chain organizations' success is dependent on integration …
Digital twin in aerospace industry: A gentle introduction
Digital twin (DT), primarily a virtual replica of any conceivable physical entity, is a highly
transformative technology with profound implications. Whether it be product development …
transformative technology with profound implications. Whether it be product development …
Critical success factors influencing artificial intelligence adoption in food supply chains
The adoption of Artificial Intelligence (AI) in the food supply chains (FSC) can address
unique challenges of food safety, quality and wastage by improving transparency and …
unique challenges of food safety, quality and wastage by improving transparency and …
Detecting fake news and disinformation using artificial intelligence and machine learning to avoid supply chain disruptions
Fake news and disinformation (FNaD) are increasingly being circulated through various
online and social networking platforms, causing widespread disruptions and influencing …
online and social networking platforms, causing widespread disruptions and influencing …
Digitalization of supply chain management with industry 4.0 enabling technologies: a sustainable perspective
Supply chain management is one of the most prominent areas that needs to incorporate
sustainability to achieve responsible consumption and production (SDG 11). It has been …
sustainability to achieve responsible consumption and production (SDG 11). It has been …
A systematic review of machine learning in logistics and supply chain management: current trends and future directions
M Akbari, TNA Do - Benchmarking: An International Journal, 2021 - emerald.com
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 …
learning (ML) in logistics and supply chain management (LSCM) by analyzing the current …