Viola Gallina

Papers

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About

Viola Gallina is a leading researcher in the optimization of hybrid human-robot assembly systems, with a focus on mathematical modeling for industrial efficiency. Her work addresses the critical challenge of integrating collaborative robots into traditionally human-operated assembly lines without disrupting workflow. In her most-cited paper (2021, 53 citations), Gallina developed mathematical programming models to analyze task assignment and cycle times when robots are added to manual lines, revealing how robot integration affects both short-term operations and long-term capacity. Her subsequent work (2021, 15 citations) introduced a Mixed-Integer Linear Programming (MILP) model specifically designed to reduce workforce requirements while maintaining productivity in human-robot collaboration environments. These contributions provide manufacturers with quantitative tools to balance automation benefits against labor costs and operational constraints. Gallina’s research is particularly valuable for industries transitioning toward Industry 4.0, where partial automation is more feasible than full robotization. Her models help engineers determine optimal task allocation between humans and robots, minimizing cycle times and labor costs while ensuring production line stability. Through her rigorous mathematical approach, Gallina has established herself as a key voice in the emerging field of collaborative assembly system design.