Chiara Sepe
Papers
2
Total Citations
68
H-Index
2
About
Chiara Sepe’s research sits at the critical intersection of operations research, manufacturing systems, and human-robot collaboration. Her work focuses on optimizing assembly line performance when robots are integrated alongside human workers—a pressing challenge for modern industry. Her most cited paper (53 citations) introduces mathematical programming models that analyze how adding robots to human-operated lines affects task assignment and cycle times, providing a rigorous framework for both short-term operations and long-term capacity planning. A second influential study (15 citations) develops a mixed-integer linear programming (MILP) model specifically designed to reduce workforce requirements while maintaining productivity in human-robot collaborative environments. These contributions are notable for bridging theoretical optimization with practical industrial applications, offering manufacturers clear, data-driven strategies for automation adoption. Sepe’s work demonstrates how careful task allocation can unlock the benefits of partial automation—lower costs, improved efficiency—without requiring fully robotic systems. Her research is essential reading for engineers and operations researchers seeking to design flexible, cost-effective assembly lines in an era of increasing automation.
Research Focus
Key Achievements
Top Papers
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