PHD: Management Economics and Industrial Engineering, Politecnico di Milano.

Master of Science: Management Engineering, Politecnico di Milano.

Her research focusses on the design of Robotized Warehouses and Logistics systems, Contract Logistics and omnichannel Logistics. The research methods include queuing, optimization and simulation models, as well as case study

Tappia E.| Moretti E.| Mohring U.| Adan| I. (2025), "Part feeding scheduling for mixed-model assembly lines with autonomous mobile robots: benefits of using real-time data", International Journal of Computer Integrated Manufacturing, 38, 485-500

Song S.| Tappia E.| Song G.| Shi X.| Cheng, TCE (2024), "Fostering supply chain resilience for omni-channel retailers: A two-phase approach for supplier selection and demand allocation under disruption risks", Expert Systems with Applications, 239, 122368

Modica T.| Colicchia C.| Tappia E.| Melacini, M. (2023), "Empowering freight transportation through Logistics 4.0: a maturity model for value creation", Production Planning & Control, 34, 1149-1164

Prataviera L.B.| Tappia E.| Perotti S.| Perego A. (2021), "Estimating the national logistics outsourcing market size: a multi-method approach and an application to the Italian context", International Journal of Physical Distribution and Logistics Management, 51, 764-784

Moretti E.| Tappia E.| Limère V.| Melacini M. (2021), "Exploring the application of machine learning to the assembly line feeding problem", Operations Management Research, 14, 403-419

Rasini M.| Agatz N.| Tappia E. (2020), "Anticipatory shipment for pickup point supply", Omega (United Kingdom), 93

Tappia E.| Roy D.| Melacini M.| De Koster R. (2019), "Integrated storage-order picking systems: Technology, performance models, and design insights", European Journal of Operational Research, 274, 947-965