| EU DEMO remote maintenance system development during the pre-concept design phase O Crofts, A Loving, M Torrance, S Budden, B Drumm, T Tremethick, ... Fusion Engineering and Design 179, 113121, 2022 | 22 | 2022 |
| The remote handling system of IFMIF-DONES G Miccichè, M Ascott, A Bakic, D Bernardi, J Brenosa, S Coloma, O Crofts, ... Fusion Engineering and Design 146, 2786-2790, 2019 | 20 | 2019 |
| A digital twin concept for the development of a DEMO maintenance logistics modelling tool F Rauscher, G Fischer, T Lehmann, JJ Zapata, P Pagani, A Loving Fusion Engineering and Design 168, 112399, 2021 | 13 | 2021 |
| A neural network-based algorithm with genetic training for a combined job and energy management for AGVs P Pagani, D Colling, K Furmans Logistics Journal: Proceedings 2018 (01), 2018 | 10 | 2018 |
| A logistical simulation tool to quantitatively evaluate the effect of different maintenance solutions on the total maintenance downtime for fusion reactors P Pagani, G Fischer, I Farquhar, R Skilton, M Mittwollen Fusion Engineering and Design 141, 121-124, 2019 | 7 | 2019 |
| Maintenance logistics for IFMIF-DONES M Mittwollen, G Fischer, P Pagani, C Kunert, J Oellerich, T Lehmann, ... Fusion Engineering and Design 146, 2743-2747, 2019 | 4 | 2019 |
| Neural Network-Based Genetic Job Assignment for Automated Guided Vehicles P Pagani, D Colling, K Furmans Logistics Journal: Proceedings 2017 (10), 2017 | 4 | 2017 |
| Performance evaluation of closed-loop logistics systems with generally distributed service times M Epp, P Pagani, J Stoll, S Scherer, C Rohlehr, K Furmans Proceedings of the Karlsruhe Service Summit Research Workshop, Karlsruhe …, 2016 | 3 | 2016 |
| Deep Neural Networks for the Scheduling of Resource-Constrained Activity Sequences: A Preliminary Investigation P Pagani, F Pfann Logistics Journal: Proceedings 2020 (12), 2020 | 2 | 2020 |
| An Exact Model to Determine the Lead-Time Distribution of Perishable Goods in a Kanban-Controlled Production System P Pagani, M Epp, K Furmans Logistics Journal: Proceedings 2016 (10), 2016 | 1 | 2016 |
| Using Deep Neural Networks for Scheduling Resource-Constrained Activity Sequences P Pagani Dissertation, Karlsruhe, Karlsruher Institut für Technologie (KIT), 2022, 2022 | | 2022 |
| Using Deep Neural Networks to Measure Puffer Levels in Real-time with Edge-Computing ME Klos, P Pagani Logistics Journal: Proceedings 2021 (17), 2021 | | 2021 |
| Citation and metadata P Pagani, M Epp, K Furmans Logistics Journal 2016, 2016 | | 2016 |
| An Exact Model to Determine the Lead-Time Distribution of Perishable Goods in a Kanban-Controlled Production System=[Ein exaktes modell zur bestimmung der … P Pagani, M Epp, K Furmans Logistics journal/Referierte Veröffentlichungen 2016 (10), 2016 | | 2016 |
| An analytical model to determine reaction levels in a lean production system P Pagani Politecnico di Milano, 2013 | | 2013 |
