Supply Chain and Logistics Analytics

The use of analytics in supply chain and logistics has become increasingly important in recent years due to the growing complexity of supply chains and logistic systems, and the need for organizations to improve their performances. This stream aims to provide a platform for researchers, academicians, and practitioners to share their latest research, ideas, and experiences in this field. 

We welcome papers that address various Supply Chain and Logistics topics, including but not limited to:  

  • Predictive analytics for demand forecasting 
  • Optimization of transportation and distribution networks 
  • Inventory management and optimization 
  • Managing supply chain risks, resilience, and relationships 
  • Monitoring and control of supply chain operations 
  • Artificial intelligence and machine learning applications in supply chain and logistics 


Yu (Jack) Gong photo.jpg

Yu (Jack) Gong, University of Southampton

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Yufei Huang, Trinity College Dublin