Amir Jamali
Affiliated Department

I am Amir Jamali, a Ph.D. Student in Business Administration and Management at Worcester Polytechnic Institute, specializing in Operations Management. My research integrates advanced analytical techniques, including supply chain optimization, simulation, and machine learning, to address complex industrial and operational challenges. With a focus on enhancing efficiency and resilience in supply chain systems, I develop innovative solutions that improve decision-making processes in industries such as manufacturing, logistics, and service operations. Through my work, I aim to bridge the gap between theoretical advancements and practical applications, driving sustainable and data-driven improvements in industrial operations.

amirjamali
Amir Jamali
Affiliated Department

I am Amir Jamali, a Ph.D. Student in Business Administration and Management at Worcester Polytechnic Institute, specializing in Operations Management. My research integrates advanced analytical techniques, including supply chain optimization, simulation, and machine learning, to address complex industrial and operational challenges. With a focus on enhancing efficiency and resilience in supply chain systems, I develop innovative solutions that improve decision-making processes in industries such as manufacturing, logistics, and service operations. Through my work, I aim to bridge the gap between theoretical advancements and practical applications, driving sustainable and data-driven improvements in industrial operations.

Office Location

Washburn 306
Publication Information

Reza Alikhani, Amirhossein Ranjbar, Amir Jamali, S. Ali Torabi, Christopher W. Zobel, “Towards Increasing Synergistic Effects of Resilience Strategies in Supply Chain Network Design,” OMEGA, 2023.DOI: doi.org/10.1016/j.omega.2022.102819.

Amir Jamali, Amirhossein Ranjbar, Jafar Heydari, Sina Nayeri, “A Multi-Objective Stochastic Programming
Model to Configure Sustainable Humanitarian Logistics,” Annals of Operations Research, 2021. DOI:
10.1007/s10479-021-04014-2.