Francesco Zammori

Francesco Zammori is an Associate Professor at the Department of Systems Engineering and Industrial Technologies (DISTI), University of Parma. His career spans academic research, teaching, and industry collaboration, focusing on lean manufacturing, supply chain innovation, and simulation modeling.

• Scientific High School Diploma, 100/100, Leonardo da Vinci Scientific High School (2000)
• Bachelor's in Management Engineering (logistics and production), 110/110 cum laude, University of Pisa (2002)
• Master's in Management Engineering (logistics and production), 110/110 cum laude, University of Pisa (2004)
• PhD in Mechanical Engineering (plants and technologies), University of Pisa (2009)

Zammori's research centers on lean manufacturing, where he develops techniques for identifying inefficiencies using Value Stream Mapping (VSM) and Overall Equipment Effectiveness (OEE). He specializes in Vendor Managed Inventory (VMI) modeling, discrete-event simulation of complex systems with multivariate statistical analysis, and solving NP-hard problems in operations management using mathematical programming and heuristics. His work also explores process mapping with IDEF/BPMN methods and IT system prototyping for transactional data.

Recent publications highlight trends in supply chain circularity (2024), automated storage systems (2023), and educational gamification (2023). He applies Monte Carlo simulation, Markov chains, and life cycle analysis to industrial challenges.

Scientific Contributions:

• Editor-in-Chief (European area), Decision Science Letters (Growing Science)
• Organizer & Chair, IESM2015 special session on 'Lean in Make To Order Firms'
• Member, AIIE2015 international conference scientific committee

Zammori has taught 40+ corporate training modules for Tuscan companies and delivered university courses on ERP systems, business process management, and management information systems across multiple Italian universities since 2005. His funded projects include RFID tracking systems for paper coils and plasma bags, extended enterprise logistics frameworks, and lean process reengineering for manufacturing firms.