Data-Driven Decision Making for Product Service Systems

Asset data driven design for PSS.- Asset/Maintenance.- Service Data Driven Design based on Simulation.- Validazione decisioni uomo tramite data-driven models.- PSS Digital Twin (Service delivery decision).- Service report (Definition of the strategy for service data collection and analysis).- Service data analysis.- Service Design.- Business Model.- Multi Attribute Decision Making models for design concept selection.- PSS ontology.- Lifecycle costing.- KPI (Improvement of the asset and service knowledge).- Risk management/financial risk.- PSS and sustainability.

Prof. Giuditta Pezzotta is Associate Professor at the University of Bergamo, also serving as Vice Chancellor for Quality Assurance. She earned her PhD in Management, Economics, and Industrial Engineering from Politecnico di Milano in 2010, spe-cializing in Service Engineering and Product Service System fields. During her studies, she was a visiting researcher at various institutions including the Universi-ty of Cambridge, University of Botswana, Tokyo Metropolitan University, and Blekinge Institute of Technology. Her research focuses on product-service sys-tems, process modeling, and simulation for both production and service delivery. Working extensively with the University of Bergamo, she has led numerous pro-jects in the Product-Service domain. With over 100 papers published in interna-tional and national journals and conferences, she's been actively involved in IFIP's Special Interest Group (SIG) in Service Systems Design, Engineering, and Management since 2019. Additionally, she contributes to the Scientific Committee of the "Centro interuniversitario di ricerca sull'innovazione e la gestione dei servizi nelle imprese industriali"




Prof. Roberto Sala is Assistant Professor at the Department of Management, Infor-mation and Production Engineering of the University of Bergamo (Italy) where he is also member of the CELS Research Group on Industrial Systems Engineering, Logistics, and Service Operations. He received his PhD in Technology, Innovation, and Management at the University of Bergamo in 2021 with a thesis on data-driven decision-making processes to improve the maintenance service delivery. His research interests gravitate around data-driven decision-making, mainte-nance, Industry 4.0, and product-service systems. He has participated into multi-ple projects at Regional, National and European level in these research areas.




Pr. Dr. Ing. Xavier Boucher Professor in Industrial Management at Center for Bi-omedical and