معرفی
Ziv Katalan serves as Adjunct Professor in the Operations, Information and Decisions department at the University of Pennsylvania's Wharton School and Managing Director for Wharton Global Initiatives. He holds a PhD in Management Science/Operations Research from Columbia University (1995) and a BS in Mathematics from Tel-Aviv University (1987).
His educational background includes:
- BS in Mathematics, Tel-Aviv University (1987)
- PhD in Management Science/Operations Research, Columbia University (1995)
Dr. Katalan's research focuses on optimizing production and service systems through operations research methodologies, specifically examining resource allocation dynamics, scheduling under uncertainty, and manufacturing performance impacts of product variety expansion. His work bridges theoretical modeling with practical applications in supply chain and service operations management.
His publications (1994-2005) in Operations Research, Management Science, and Queueing Systems reveal consistent themes: stochastic modeling of production-inventory systems, economic lot scheduling under demand variability, and queueing network analysis for multi-class service systems. A significant portion addresses base-stock policy optimization across rental fleets, manufacturing lines, and polling systems.
He has received multiple teaching honors:
- Wharton MBA Program Core Teaching Award (2013)
- Wharton MBA Program for Executives Elective Teaching Award (2006, 2011)
- MBA Core Curriculum Cluster Teaching Award (1997, 1999, 2001)
- First Place Student Paper Award, ORSA Technical Section (1994)
- Honorable Mention, George E. Nicholson Competition (1994)
Dr. Katalan has taught business analytics, operations management, and quantitative finance across Wharton's MBA programs and Penn's Executive Master’s in Technology Management (EMTM). As EMTM Co-Director (2002-2007), he led this engineering-business joint program. His industry-focused research demonstrates strong connections between theoretical operations models and real-world business applications, particularly in resource-constrained environments.
