SPECIAL SESSION 1: Supply Chain Resilience and Optimization

Supply Chain Resilience and Optimization integrates resilience-building strategies with advanced optimization techniques to create robust, efficient, and adaptive supply chains. This approach leverages optimization models to enhance the supply chain's capacity to withstand and quickly recover from disruptions while maintaining cost-efficiency and service levels.

Topics covered include (but are not limited to):

  • Network Design Optimization to enhance flexibility, enabling rapid rerouting and allocation of resources during disruptions.
  • Inventory and Capacity Optimization for maintaining buffer stocks and dynamic safety stock levels, reducing vulnerability to demand surges or supply shortages.
  • Scenario Planning and Stochastic Modeling to anticipate potential disruptions and optimize decision-making under uncertainty.
  • Multi-Objective Optimization to balance trade-offs between resilience (e.g., robustness and redundancy) and efficiency (e.g., cost minimization and resource utilization).
     

chairman:

Dr. Guodong Yu, Shandong University, China

Biodata: Dr. Guodong Yu is currently a Professor at the School of Management, Shandong University, where he serves as a PhD supervisor, Head of the Department of Project Management and Industrial Engineering, and Director of the Institute of Industrial Engineering. He leads the Outstanding Young Innovative Team in Shandong's higher education institutions and holds the title of Qilu Young Scholar. Dr. Yu also serves as a member of the Industrial Engineering Committee of the Chinese Society of Mechanical Engineering, Vice Chairman of the Shandong Provincial SME Technology Service Alliance, and Distinguished Expert of the Shandong Enterprise Federation.
Dr. Yu obtained his PhD in Mechanical Engineering (Industrial Engineering) from Chongqing University and later worked as a Postdoctoral Researcher at the Department of Industrial and Systems Engineering, National University of Singapore.
His current research focuses on the optimization of complex system operations, particularly in addressing operational management challenges in manufacturing, supply chain, and related fields, supported by next-generation information technologies such as artificial intelligence, data science, and the Internet of Things (IoT). By integrating methods from complex systems engineering, lean production, operations research, data science, and machine learning, Dr. Yu aims to develop optimal solutions to these challenges, fostering innovation through the intersection of optimization methods, data science, and artificial intelligence.
His research findings have been published or accepted in leading journals in the field, including Manufacturing & Service Operations Management, Production and Operations Management, Transportation Research Part B: Methodological, IISE Transactions, Naval Research Logistics, Omega, IEEE Transactions on Engineering Management, and Transportation Research Part E. He has led 12 national and ministerial-level research projects, including General and Young Scientist projects funded by the National Natural Science Foundation of China, as well as key projects under the Ministry of Science and Technology.
 

SUBMISSION

Delegates are encouraged to submit their full papers/abstract to the special sessions. Please submit your electronically article in PDF format before the submission deadline.

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