Giovanni Mazzuto

Position

PostDoctoral Researcher – ING-IND/17

Tutor

Prof. Tutor: Maurizio Bevilacqua

Research Areas

Eng. Giovanni Mazzuto graduated in July 2010 at the Polytechnic University of the Marches in Industrial Engineering with a thesis entitled “Simulation Techniques for Supply Chain Analysis”. In January 2011 he began his PhD program in Industrial Plants (ING-IND / 17), at the Department of Energetics, which will end in 2013 with a thesis entitled “Fuzzy Cognitive Maps tool for Industrial Engineering”. From January 2014 to now, eng. Giovanni Mazzuto holds the role of research fellow at DIISM in the Industrial Plants group led by prof. Maurizio Bevilacqua.

Capsule Bio

Eng. Giovanni Mazzuto graduated in July 2010 at the Polytechnic University of the Marches in Industrial Engineering with a thesis entitled “Simulation Techniques for Supply Chain Analysis”. In January 2011 he began his PhD program in Industrial Plants (ING-IND / 17), at the Department of Energetics, which will end in 2013 with a thesis entitled “Fuzzy Cognitive Maps tool for Industrial Engineering”. From January 2014 to now, eng. Giovanni Mazzuto holds the role of research fellow at DIISM in the Industrial Plants group led by prof. Maurizio Bevilacqua.

Main publications

1. Mazzuto, G., Ciarapica, F.E. (2019) A big data analytics approach to quality, reliability and risk management, International Journal of Quality and Reliability Management, 36 (1), pp. 2-6;
2. Postacchini, L., Mazzuto, G., Paciarotti, C., Ciarapica, F.E. (2018) Reuse of honey jars for healthier bees: Developing a sustainable honey jars supply chain through the use of LCA, Journal of Cleaner Production, 177, pp. 573-588
3. Bevilacqua, M., Ciarapica, F.E., Mazzuto, G. (2018) Fuzzy cognitive maps for adverse drug event risk management, Safety Science, 102, pp. 194-210
4. Mazzuto, G., Ciarapica, F. E., Stylios, C., Georgopoulos, V. C. (2018, July). Fuzzy Cognitive Maps designing through large dataset and experts’ knowledge balancing. In 2018 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), pp. 1-6
5. Mazzuto, G., Bevilacqua, M., Ciarapica, F.E. (2017) A heuristic scheduling algorithm based on fuzzy logic and critical chain project management, International Journal of Project Organisation and Management, 9 (4), pp. 303-327

Email:
g.mazzuto@univpm.it

Phone:
+39 071 220 4361

Room:
Q185_045A