Rossella Pozzi


Rossella Pozzi, Ph.D., is Assistant Professor at Università Cattaneo LIUC since 2017 and licensed as Associate Professor for the 09/B2 area since April 2020.  
From 2016 to 2017 she was Post Doc Research Fellow in the same University. 
She got her Ph.D. at Università Cattaneo LIUC (Italy) in 2016 and visited the Istituto Dalle Molle per l’Intelligenza Artificiale - IDSIA (Switzerland) during her doctoral studies. In 2012 she spent a period as Visiting Student at MIT - Center for Transportation and Logistics.

From 2013 she teaches in Università Cattaneo LIUC and Politecnico di Milano. From 2013 to 2017 she contributed to mobility and Erasmus + projects, with didactic tutoring for the definition of the study plans that every student of the School of Industrial Engineering must prepare for his period abroad, providing support for the organization of student mobility, teaching and training activities within the Erasmus + program. 

She serves as scientific reviewer for several journals, such as International Journal of Production Research, Production Planning and Control, European Journal of Engineering Education and International Journal of Logistics.

From 2017 she is part of the core faculty of LIUC Business School and affiliate to the Center for Operations and Logistics Management. She contributes to the Research Center coordinating and developing research and other activites, such as workshops and company visits, for the Lean Club. 

Selected Publications

  • Ciano, Maria Pia, Pozzi, Rossella, Rossi, Tommaso, Strozzi, Fernanda (2019). How IJPR has addressed 'lean': a literature review using bibliometric tools. INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH, p. 1-34, ISSN: 0020-7543, doi: 10.1080/00207543.2019.1566667 
  • Del Torto, Antonio, Pozzi, Rossella, Porazzi, Emanuele, Garagiola, Elisabetta, Strozzi, Fernanda (2019). Length of stay reduction in the emergency department and its quantification using complex network theory. INTERNATIONAL JOURNAL OF OPERATIONAL RESEARCH, vol. 36, p. 337-361, ISSN: 1745-7645, doi: 10.1504/IJOR.2019.103122
  • Pozzi, Rossella, Pero, Margherita, Cigolini, Roberto D., Zaglio, Francesco, Rossi, Tommaso (2019). Using simulation to reshape the maintenance systems of caster segments. INTERNATIONAL JOURNAL OF INDUSTRIAL AND SYSTEMS ENGINEERING, vol. 33, p. 75-96, ISSN: 1748-5037, doi: 10.1504/IJISE.2019.102047
  • Cannas, Violetta Giada, Pero, Margherita, Pozzi, Rossella, Rossi, Tommaso (2018). Complexity reduction and kaizen events to balance manual assembly lines: an application in the field. INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH, vol. 56, p. 3914-3931, ISSN: 0020-7543, doi: 10.1080/00207543.2018.1427898
  • Rossi, Tommaso, Pozzi, Rossella, Pero, Margherita, Cigolini, Roberto (2017). Improving production planning through finite-capacity MRP. INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH, vol. 55, p. 377-391, ISSN: 0020-7543, doi: 10.1080/00207543.2016.1177235 
  • Rossi, Tommaso, Pozzi, Rossella, Testa, Mariapaola (2017). EOQ-based inventory management in single-machine multi-item systems. OMEGA, vol. 71, p. 106-113, ISSN: 0305-0483, doi: 10.1016/


She was invited by Prof. Luca Maria Gambardella to present her Doctoral research in the IDSIA Workshops in 2015 and by Dr. Chris Caplice to present the preliminary version of simulation meta-model of container terminal to the MIT Center for Transportation and Logistics in 2013.

She frequently presents her research output at the main national and international conferences for the field of operations management. 

Professional Experiences

She serves the Center for Operations and Lean Management also from the point of view of company advisory. She has participated in numerous training, research and consultancy initiatives with leading companies including Carl Zeiss Vision, CentroStyle, Mazzucchelli, Eurojersey, Lindt & Sprungli and Luxottica.


LIUC best paper award for the 09 area in 2019.

Specialization and Interests

Her main interests are:

  • lean manufacturing: development of methodologies that exploit the implementation of lean techniques and tools to support the design, planning and management of the production logistics systems; quantifying the advantages related to the adoption of lean policies; 
  • modelling of complex systems and quantitative methods in operations management: development of discrete simulation-based methodologies, complex network theory, recurrence quantification and statistical tools; developement of operations management models coherent with capacity constraints;
  • industry 4.0: investigation of the elements that influence its adoption and successful applications.