Iwona Paprocka

Papers

Total Citations

H-Index

About

Iwona Paprocka is a researcher focused on the optimization and simulation of manufacturing systems, with a particular emphasis on the role of automation and robotics in improving production flow. Her work addresses the critical challenge of destabilization in manufacturing processes caused by human factors and machine breakdowns, advocating for the strategic use of robots to enhance efficiency and reliability. Paprocka’s most cited paper, "Discrete Event Simulation Method as a Tool for Improvement of Manufacturing Systems" (2017), with 69 citations, demonstrates her core contribution: using discrete event simulation to quantitatively compare the work efficiency of human-operated versus robotic systems. She further refines this approach in studies like "Simulation model of robotic manufacturing line" (2016) and "A computer simulation as a tool for a production system analysis and optimization" (2018), where she applies Siemens Plant Simulation to model real-world systems, such as a car suspension manufacturing line. Through these simulations, Paprocka provides actionable insights for optimizing production layouts and minimizing downtime. Her work is notable for bridging theoretical simulation methods with practical industrial applications, offering engineers and managers a data-driven toolkit for decision-making in modern manufacturing.