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Maroua NOUIRI

ENSEIGNANT-CHERCHEUR

: Maroua.Nouiriatls2n.fr

Page pro : https://scholar.google.com/citations?user=iko6kyUAAAAJ&hl=fr&oi=ao

Adresses :

Institut universitaire de technologie de Nantes ( IUT Nantes )
La Fleuriaye
2, avenue du Pr Jean Rouxel
BP 539
44475 CARQUEFOU Cedex

bureau 2

Centrale Nantes ( CN )
Petit Port
1, rue de la Noë
BP 92101
44321 NANTES Cedex 3

Batiment S, étage 5, bureau 502

Publications référencées sur HAL

Revues internationales avec comité de lecture (ART_INT)

[1] F. Abdoune, L. Ragazzini, M. Nouiri, E. Negri, O. Cardin. Toward Digital twin for sustainable manufacturing: A data-driven approach for energy consumption behavior model generation. In Computers in Industry ; éd. Elsevier, 2023, vol. 150.
https://hal.science/hal-04116444v1

[2] F. Abdoune, M. Nouiri, O. Cardin, P. Castagna. An enhanced methodology of Fault Detection and Diagnosis based on Digital Twin. In IFAC-PapersOnLine ; éd. Elsevier, 2022, vol. 55, num. 19.
https://hal.science/hal-03890558v1

[3] F. Abdoune, M. Nouiri, O. Cardin, P. Castagna. Integration of Artificial Intelligence in the life cycle of industrial Digital Twins. In IFAC-PapersOnLine ; éd. Elsevier, 2022, vol. 55, num. 10.
https://hal.science/hal-03890551v1

[4] F. Tangour, M. Nouiri, R. Abbou. Multi-Objective Production Scheduling of Perishable Products in Agri-Food Industry. In Applied Sciences ; éd. Multidisciplinary digital publishing institute (MDPI), 2021, vol. 11, num. 15.
https://hal.science/hal-03464816v1

[5] R. Naimi, M. Nouiri, O. Cardin. A Q-Learning Rescheduling Approach to the Flexible Job Shop Problem Combining Energy and Productivity Objectives. In Sustainability ; éd. MDPI, 2021.
https://hal.science/hal-03447346v1

[6] M. Nouiri, A. Bekrar, D. Trentesaux. An energy-efficient scheduling and rescheduling method for production and logistics systems. In International Journal of Production Research ; éd. Taylor & Francis, 2020, vol. 58, num. 11.
https://uphf.hal.science/hal-03423955v1

[7] A. Kantasa-Ard, M. Nouiri, A. Bekrar, A. Ait El Cadi, Y. Sallez. Machine learning for demand forecasting in the physical internet: a case study of agricultural products in Thailand. In International Journal of Production Research ; éd. Taylor & Francis, 2020.
https://uphf.hal.science/hal-03400323v1

[8] M. Nouiri, D. Trentesaux, A. Bekrar. Towards Energy Efficient Scheduling of Manufacturing Systems through Collaboration between Cyber Physical Production and Energy Systems. In Energies ; éd. MDPI, 2019, vol. 12, num. 23.
https://hal.science/hal-02386901v1

[9] M. Nouiri, A. Bekrar, A. Jemai, S. Niar, A. Ammari. An effective and distributed particle swarm optimization algorithm for flexible job-shop scheduling problem. In Journal of Intelligent Manufacturing ; éd. Springer Verlag (Germany), 2018, vol. 29, num. 3.
https://uphf.hal.science/hal-03426919v1

[10] M. Nouiri, A. Bekrar, A. Jemai, D. Trentesaux, A. Ammari, S. Niar. Two stage particle swarm optimization to solve the flexible job shop predictive scheduling problem considering possible machine breakdowns. In Computers & Industrial Engineering ; éd. Elsevier, 2017, vol. 112.
https://uphf.hal.science/hal-03401105v1

[11] A. Kantasa-Ard, M. Nouiri, A. Bekrar, A. Ait El Cadi, Y. Sallez. A genetic algorithm for robust schedules in a just-in-time environment. In AAPS PharmSciTech ; éd. American Association of Pharmaceutical Scientists, 2004.
https://uphf.hal.science/hal-03369143v1

Revues nationales avec comité de lecture (ART_NAT)

[12] M. Nouiri, D. Trentesaux, A. Bekrar. EasySched : une architecture multi-agent pour l'ordonnancement prédictif et réactif de systèmes de production de biens en fonction de l'énergie renouvelable disponible dans un contexte industrie 4.0. In Génie industriel et productique ; éd. ISTE OpenScience, 2019, vol. 2, num. 1.
https://hal.science/hal-02107556v1

Conférences internationales avec comité de lecture et actes (COMM_INT)

[13] A. Ben Haj Mouldi, M. Nouiri. Algorithme Génétique intégré avec des règles d'ordonnancement pour résoudre le problème Flexible Job Shop avec les contraintes de transport multi-AMR. In 2ème Congrès Annuel de la Société d'Automatique, de Génie Industriel et de Productique (SAGIP 2024), mai 2024, Villeurbanne (France), France.
https://hal.science/hal-04642939v1

[14] M. Nouiri, O. Cardin. Réordonnancement sur critères énergétiques de systèmes de production cyber physiques hybrides. In 2ème Congrès Annuel de la Société d'Automatique, de Génie Industriel et de Productique (SAGIP 2024), mai 2024, Villeurbanne (France), France.
https://hal.science/hal-04642934v1

[15] A. Haj Mouldi, M. Nouiri. Integrated Genetic Algorithm with Dispatching Rules to solve the Flexible Job Shop Scheduling Problem under Multi-AMR Transportation Constraints. In 18th IFAC Symposium on Information Control Problems in Manufacturing INCOM 2024, août 2024, Vienna, Autriche.
https://hal.science/hal-04843748v1

[16] Y. Eslami, C. Franciosi, M. Nouiri, A. Giret, E. Negri, P. Marangé. Current trends and future challenges to put Circular Manufacturing in practice. In 5th International Conference on Innovative Intelligent Industrial Production and Logistics, IN4PL 2024, novembre 2024, Porto, Portugal.
https://hal.science/hal-04838259v1

[17] M. Nouiri, W. Bouazza, O. Cardin, D. Trentesaux. Review of smart cyber city: keys requirements, tools and issues. In 22nd IFAC World Congress, 2023, Yokohama, Japon.
https://hal.science/hal-04530503v1

[18] F. Abdoune, O. Cardin, M. Nouiri, P. Castagna. Real-time field synchronization mechanism for Digital Twin manufacturing systems. In IFAC World Congres, juillet 2023, Yokohama, Japon.
https://hal.science/hal-04362310v1

[19] F. Abdoune, T. Delumeau, M. Nouiri, O. Cardin. Interval-Based approach for uncertainty quantification of Energy Consumption modeling in Digital Twin. In IFAC World Congrès, juillet 2023, Yokohama, Japon.
https://hal.science/hal-04362324v1

[20] F. Abdoune, V. Cheutet, M. Nouiri, O. Cardin. Digital Twin for decision-support: An insight into the integration of simulation models into Digital Twin architecture. In SOHOMA workshop 2023, septembre 2023, Annecy, France.
https://hal.science/hal-04252067v1

[21] F. Abdoune, M. Nouiri, O. Cardin, P. Castagna. Couplage de jumeau numérique et réseau de neurones pour la détection et l'analyse des micro-pannes dans un système de production. In 17ème colloque national S-mart AIP-PRIMECA, mars 2021, LAVAL VIRTUAL WORLD, France.
https://hal.science/hal-03296113v1

[22] M. Nouiri, A. Bekrar, A. Giret, O. Cardin, D. Trentesaux. A Multi-agent Model for the Multi-plant Multi-product Physical Internet Supply Chain Network. In SOHOMA 2020: Service Oriented, Holonic and Multi-Agent Manufacturing Systems for Industry of the Future, octobre 2020, Paris, France.In Borangiu, Trentesaux, Leitão, Cardin, Lamouri (éds.), . Springer International Publishing, 2020.
https://uphf.hal.science/hal-03407654v1

[23] J. Mbuli, M. Nouiri, D. Trentesaux. Artificial intelligence tools in transportation. In First Workshop of the joint research lab, SurferLab, janvier 2019, Valenciennes, France.
https://hal.science/hal-02063382v1

[24] J. Mbuli, M. Nouiri, D. Trentesaux, D. Baert. Root causes analysis and fault prediction in intelligent transportation systems: coupling unsupervised and supervised learning techniques. In 2019 International Conference on Control, Automation and Diagnosis (ICCAD), juillet 2019, Grenoble, France.
https://uphf.hal.science/hal-03468706v1

[25] M. Nouiri, A. Bekrar, D. Trentesaux. Towards Energy Efficient Scheduling and Rescheduling for Dynamic Flexible Job Shop Problem. In 16th IFAC Symposium on Information Control Problems in Manufacturing, juin 2018, Bergamo, Italie.
https://uphf.hal.science/hal-03409367v1

[26] M. Nouiri, D. Trentesaux, A. Bekrar, A. Giret, M. Salido. Cooperation Between Smart Manufacturing Scheduling Systems and Energy Providers: A Multi-agent Perspective. In International Workshop Service Orientation in Holonic and Multi-agent Manufacturing, SOHOMA’18, juin 2018, Bergamo, Italie.
https://uphf.hal.science/hal-03680050v1

[27] M. Nouiri, A. Bekrar, D. Trentesaux. Inventory Control under Possible Delivery Perturbations in Physical Internet Supply Chain Network. In 5th International Physical Internet Conference, juin 2018, Groningen, Pays-Bas.
https://hal.science/hal-01868662v2

[28] I. Chaib Draa, M. Nouiri, S. Niar, A. Bekrar. Device Context Classification for Mobile Power Consumption Reduction. In 2016 Euromicro Conference on Digital System Design (DSD), août 2016, Limassol, Chypre.
https://uphf.hal.science/hal-03383100v1

[29] M. Nouiri, A. Jemai, A. Ammari, A. Bekrar, D. Trentesaux, S. Niar. Using IoT in breakdown tolerance: PSO solving FJSP. In 11th International Design & Test Symposium (IDT), décembre 2016, Hammamet, Tunisie.
https://uphf.hal.science/hal-03388790v1

[30] M. Nouiri, A. Bekrar, A. Jemai, D. Trentesaux, A. Ammari, S. Niar. An improved multi-agent particle swarm optimization to solve flexible job-shop scheduling problem.. In 45th International Conference on Computers & Industrial Engineering (CIE45), octobre 2015, Metz, France.
https://uphf.hal.science/hal-03384957v1

[31] M. Nouiri, A. Jemai, A. Ammari, A. Bekrar, S. Niar. An effective particle swarm optimization algorithm for flexible job-shop scheduling problem. In IEEE International Conference on Industrial Engineering and Systems Management IESM’13, octobre 2013, Rabat, Maroc.
https://uphf.hal.science/hal-03450910v1

Conférences nationales avec comité de lecture et actes (COMM_NAT)

[32] F. Abdoune, O. Cardin, M. Nouiri. A propos de la soutenabilité du jumeau numérique. In 2ème Congrès Annuel de la Société d'Automatique, de Génie Industriel et de Productique (SAGIP 2024), mai 2024, Villeurbanne (France), France.
https://hal.science/hal-04642894v1

[33] F. Abdoune, O. Cardin, M. Nouiri. Exploration des mécanismes d'adaptation du jumeau numérique face aux dérives dans les systèmes de production via des approches d'apprentissage automatique. In 2ème Congrès Annuel de la Société d'Automatique, de Génie Industriel et de Productique (SAGIP 2024), mai 2024, Villeurbanne (France), France.
https://hal.science/hal-04642930v1

Ouvrages - Chapitres d‘ouvrages et directions d‘ouvrages (OUV)

[34] F. Abdoune, M. Nouiri, O. Cardin, P. Castagna. Digital Twin Lifecycle: Core Challenges and Open Issues. In Service Oriented, Holonic and Multi-Agent Manufacturing Systems for Industry of the Future. 02-02-2023
https://hal.science/hal-03980513v1

[35] P. Martin, M. Nouiri, A. Siadat. Moving Towards a Sustainable Model: Societal, Economic and Environmental. In Digitalization and Control of Industrial Cyber-Physical Systems: Concepts, Technologies and Applications. 20-05-2022
https://hal.science/hal-03871554v1

[36] F. Abdoune, O. Cardin, M. Nouiri, P. Castagna. About Perfection of Digital Twin Models. In Service Oriented, Holonic and Multi-agent Manufacturing Systems for Industry of the Future. 03-06-2022
https://hal.science/hal-03890564v1

[37] F. Abdoune, M. Nouiri, O. Cardin, P. Castagna. Toward Digital Twin for Cyber Physical Production Systems Maintenance: Observation Framework Based on Artificial Intelligence Techniques. In Service Oriented, Holonic and Multi-Agent Manufacturing Systems for Industry of the Future. 03-03-2021
https://hal.science/hal-03452297v1

[38] A. Kantasa-Ard, M. Nouiri, A. Bekrar, A. Ait El Cadi, Y. Sallez. Dynamic Clustering of PI-Hubs Based on Forecasting Demand in Physical Internet Context.. In Service Oriented, Holonic and Multi-agent Manufacturing Systems for Industry of the Future. 2020
https://uphf.hal.science/hal-03403878v1

[39] M. Nouiri, D. Trentesaux, A. Bekrar, A. Giret, M. Salido. Cooperation Between Smart Manufacturing Scheduling Systems and Energy Providers: A Multi-agent Perspective. In Service Orientation in Holonic and Multi-Agent Manufacturing. 12-12-2019
https://uphf.hal.science/hal-03467640v1

[40] M. Nouiri, A. Bekrar, A. Jemai, A. Ammari, S. Niar. A New Rescheduling Heuristic for Flexible Job Shop Problem with Machine Disruption. In Service Orientation in Holonic and Multi-Agent Manufacturing. 01-02-2018
https://uphf.hal.science/hal-03406019v1

Theses et HDR (THESE)

[41] M. Nouiri. Implémentation d'une méta-heuristique embarquée pour résoudre le problème d'ordonnancement dans un atelier flexible de production. Thèses : Ecole Polytechnique de Tunisie.
https://theses.hal.science/tel-01640499v1

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