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Maroua Nouiri
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2020 – today
- 2024
- [j6]Younes Delhoum, Olivier Cardin, Maroua Nouiri, Mounira Harzallah:
Machine learning-assisted microscopic public transportation simulation: Two coupling strategies. Simul. Model. Pract. Theory 137: 103019 (2024) - 2023
- [j5]Farah Abdoune
, Lorenzo Ragazzini
Toward Digital twin for sustainable manufacturing: A data-driven approach for energy consumption behavior model generation. Comput. Ind. 150: 103949 (2023) - [c12]Farah Abdoune, Vincent Cheutet, Maroua Nouiri, Olivier Cardin
Digital Twin for Decision-Support: An Insight into the Integration of Simulation Models into Digital Twin Architectures. SOHOMA 2023: 15-25 - 2022
- [c11]Farah Abdoune, Maroua Nouiri, Olivier Cardin
Digital Twin Lifecycle: Core Challenges and Open Issues. SOHOMA 2022: 157-167 - [c10]Maroua Nouiri, Tarik Chargui, Abdelghani Bekrar, Damien Trentesaux:
Physical Internet Supply Chain: Short Literature Review and Research Perspective on Strategic and Operational Levels. SOHOMA 2022: 222-230 - 2021
- [j4]Anirut Kantasa-Ard, Maroua Nouiri
Machine learning for demand forecasting in the physical internet: a case study of agricultural products in Thailand. Int. J. Prod. Res. 59(24): 7491-7515 (2021) - [c9]Farah Abdoune
About Perfection of Digital Twin Models. SOHOMA 2021: 91-101 - 2020
- [j3]Maroua Nouiri
An energy-efficient scheduling and rescheduling method for production and logistics systems†. Int. J. Prod. Res. 58(11): 3263-3283 (2020) - [c8]Farah Abdoune
Toward Digital Twin for Cyber Physical Production Systems Maintenance: Observation Framework Based on Artificial Intelligence Techniques. SOHOMA 2020: 123-134 - [c7]Maroua Nouiri
A Multi-agent Model for the Multi-plant Multi-product Physical Internet Supply Chain Network. SOHOMA 2020: 435-448
2010 – 2019
- 2019
- [c6]John Mbuli, Maroua Nouiri
Root causes analysis and fault prediction in intelligent transportation systems: coupling unsupervised and supervised learning techniques. ICCAD 2019: 1-6 - [c5]Anirut Kantasa-Ard, Maroua Nouiri
Dynamic Clustering of PI-Hubs Based on Forecasting Demand in Physical Internet Context. SOHOMA 2019: 27-39 - [i1]Maroua Nouiri
EasySched: a multi-agent architecture for the predictive and reactive scheduling of Industry 4.0 production systems based on the available renewable energy. CoRR abs/1905.12083 (2019) - 2018
- [j2]Maroua Nouiri
An effective and distributed particle swarm optimization algorithm for flexible job-shop scheduling problem. J. Intell. Manuf. 29(3): 603-615 (2018) - [c4]Maroua Nouiri
Cooperation Between Smart Manufacturing Scheduling Systems and Energy Providers: A Multi-agent Perspective. SOHOMA 2018: 197-210 - 2017
- [b1]Maroua Nouiri:
Implémentation d'une méta-heuristique embarquée pour résoudre le problème d'ordonnancement dans un atelier flexible de production. (Implementation of an embedded meta-heuristics to solve the scheduling problem in a flexible production job shop). École Polytechnique, Palaiseau, France, 2017 - [j1]Maroua Nouiri
Two stage particle swarm optimization to solve the flexible job shop predictive scheduling problem considering possible machine breakdowns. Comput. Ind. Eng. 112: 595-606 (2017) - [c3]Maroua Nouiri
A New Rescheduling Heuristic for Flexible Job Shop Problem with Machine Disruption. SOHOMA 2017: 461-476 - 2016
- [c2]Ismat Chaib Draa, Maroua Nouiri
Device Context Classification for Mobile Power Consumption Reduction. DSD 2016: 682-685 - [c1]Maroua Nouiri
Using IoT in breakdown tolerance: PSO solving FJSP. IDT 2016: 19-24
Coauthor Index
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