Demand Driven MRP: assessment of a new approach to materials management R Miclo, M Lauras, F Fontanili, J Lamothe, SA Melnyk International Journal of Production Research 57 (1), 166-181, 2019 | 159 | 2019 |
HospiT'Win: a predictive simulation-based digital twin for patients pathways in hospital A Karakra, F Fontanili, E Lamine, J Lamothe 2019 IEEE EMBS international conference on biomedical & health informatics …, 2019 | 86 | 2019 |
BPRIM: An integrated framework for business process management and risk management E Lamine, R Thabet, A Sienou, D Bork, F Fontanili, H Pingaud Computers in Industry 117, 103199, 2020 | 82 | 2020 |
An empirical comparison of MRPII and Demand-Driven MRP R Miclo, F Fontanili, M Lauras, J Lamothe, B Milian IFAC-PapersOnLine 49 (12), 1725-1730, 2016 | 70 | 2016 |
Pervasive computing integrated discrete event simulation for a hospital digital twin A Karakra, F Fontanili, E Lamine, J Lamothe, A Taweel 2018 IEEE/ACS 15th international conference on computer systems and …, 2018 | 68 | 2018 |
MRP vs. demand-driven MRP: Towards an objective comparison R Miclo, F Fontanili, M Lauras, J Lamothe, B Milian 2015 International Conference on Industrial Engineering and Systems …, 2015 | 46 | 2015 |
Flow simulation and genetic algorithm as optimization tools F Fontanili, A Vincent, R Ponsonnet International Journal of Production Economics 64 (1-3), 91-100, 2000 | 44 | 2000 |
Discrete event simulation-based real-time shop floor control S Mirdamadi, F Fontanili, L Dupont Proc. 21st Eur. Conf. Modelling and Simulation (ECMS 2007), 235-240, 2007 | 35 | 2007 |
RTLS-based Process Mining: Towards an automatic process diagnosis in healthcare R Miclo, F Fontanili, G Marquès, P Bomert, M Lauras 2015 IEEE international conference on automation science and engineering …, 2015 | 33 | 2015 |
Improving the management of an emergency call service by combining process mining and discrete event simulation approaches E Lamine, F Fontanili, M Di Mascolo, H Pingaud Risks and Resilience of Collaborative Networks: 16th IFIP WG 5.5 Working …, 2015 | 24 | 2015 |
HospiT’Win: a digital twin framework for patients’ pathways real-time monitoring and hospital organizational resilience capacity enhancement A Karakra, E Lamine, F Fontanili, J Lamothe 9th Int work innov simul heal care, IWISH, 62-71, 2020 | 21 | 2020 |
An empirical study of Demand-Driven MRP R Miclo, F Fontanili, M Lauras, J Lamothe, B Milian ILS 2016-6th International Conference on Information Systems, Logistics and …, 2016 | 16 | 2016 |
Intégration d'outils de simulation et d'optimisation pour le pilotage d'une ligne d'assemblage multiproduit à transfert asynchrone F Fontanili Université Paris 13, 1999 | 16 | 1999 |
Monitoring and analyzing patients’ pathways by the application of Process Mining, SPC, and I-RTLS SN Araghi, F Fontanili, E Lamine, L Tancerel, F Benaben IFAC-PapersOnLine 51 (11), 980-985, 2018 | 13 | 2018 |
Stable heuristic miner: applying statistical stability to discover the common patient pathways from location event logs SN Araghi, F Fontanili, E Lamine, U Okongwu, F Benaben Intelligent Systems with Applications 14, 200071, 2022 | 12 | 2022 |
Home health care daily planning considering the satisfaction of all the stakeholders L Zhang, PY Bouchet, E Lamine, F Fontanili, C Bortolaso, M Derras, ... 2019 International Conference on Industrial Engineering and Systems …, 2019 | 12 | 2019 |
An inventory of interoperability in healthcare ecosystems: Characterization and challenges E Lamine, W Guédria, A Rius Soler, J Ayza Graells, F Fontanili, ... Enterprise Interoperability: INTEROP‐PGSO Vision 1, 167-198, 2017 | 12 | 2017 |
A discrete event simulation-based methodology for building a digital twin of patient pathways in the hospital for near real-time monitoring and predictive simulation A Karakra, F Fontanili, E Lamine, J Lamothe Digital Twin 2, 1, 2022 | 9 | 2022 |
Process modelling of industrialized thermal renovation of apartment buildings M Falcon, F Fontanili eWork and eBusiness in Architecture, Engineering and Construction, 363-368, 2010 | 9 | 2010 |
Evaluating the process capability ratio of patients’ pathways by the application of process mining, SPC and RTLS SN Araghi, F Fontanili, E Lamine, N Salatge, J Lesbegueries, ... HEALTHINF 2019-12th International Conference on Health Informatics 5, 302-309, 2019 | 8 | 2019 |