Laura MONFERDINI is a Research Fellow at the Department of Engineering for Industrial systems and Technologies at the University of Parma. She attended the doctoral program in industrial engineering at the University of Parma, ending in October 2025 and she will defense her PhD Thesis titled "Frameworks and tOols for evaluating LOgistics processes and enhancing Green, Resilient, Agile and Lean performance (OLOGRAL)" in March 2026. She graduated with honors in July 2022 in Management Engineering at the University of Parma, presenting a research thesis entitled "study and development of a simulation model for operating room's optimization". She was the winner of two research grants during her master’s degree. One of the grants focused on implementing innovative organizational and technological changes within the justice system, while the other aimed to develop a machine learning tool for optimizing healthcare processes, specifically focusing on the allocation of resources in hospital surgical blocks to minimize congestion and delays. Currently, she deals with the optimization of logistics and supply chain processes through advanced performance evaluation systems. She is co-author of papers presented at international scientific conferences and scientific publications in international journals.
Laura MONFERDINI is a Research Fellow at the Department of Engineering for Industrial systems and Technologies at the University of Parma. She attended the doctoral program in industrial engineering at the University of Parma, ending in October 2025 and she will defense her PhD Thesis titled "Frameworks and tOols for evaluating LOgistics processes and enhancing Green, Resilient, Agile and Lean performance (OLOGRAL)" in March 2026. She graduated with honors in July 2022 in Management Engineering at the University of Parma, presenting a research thesis entitled "study and development of a simulation model for operating room's optimization". She was the winner of two research grants during her master’s degree. One of the grants focused on implementing innovative organizational and technological changes within the justice system, while the other aimed to develop a machine learning tool for optimizing healthcare processes, specifically focusing on the allocation of resources in hospital surgical blocks to minimize congestion and delays. Currently, she deals with the optimization of logistics and supply chain processes through advanced performance evaluation systems. She is co-author of papers presented at international scientific conferences and scientific publications in international journals.