Author of the chapters below :
Curriculum vitae :
Dr. Maroua Nouiri is an assistant professor of the Technology Institute of Nantes University since 2019 and researcher at the LS2N laboratory (LS2N UMR CNRS 6004). She got her PhD degree in Electronics and Information and Communication Technology from Polytechnic school of Tunisia in 2017. She started her research work in France at LAMIH Laboratory in Valenciennes; where she worked for two years as a Research Engineer (Post-doctoral fellow) in the European project ELSAT 2020 "Green Supply Chain". Her research focuses on the control, scheduling and optimization of discrete event systems (production and logistics systems, transportation, etc.). The flow management models she proposed are based on optimization algorithms (heuristics/meta-heuristics) distributed on multi-agent/holonic architectures.
Web Site :
Publications since 2015 :
Publications referenced on ORCID 
(21) ►
- Multi-objective production scheduling of perishable products in agri-food industry, in Applied Sciences (Switzerland) ; 2021.
- An energy-efficient scheduling and rescheduling method for production and logistics systems†, in International Journal of Production Research ; 2020.
- Machine learning for demand forecasting in the physical internet: a case study of agricultural products in Thailand, in International Journal of Production Research ; 2020.
- Towards Energy Efficient Scheduling of Manufacturing Systems through Collaboration between Cyber Physical Production and Energy Systems, in Energies ; 2019.
- EasySched: a multi-agent architecture for the predictive and reactive scheduling of Industry 4.0 production systems based on the available renewable energy, in Génie industriel et productique ; 2019.
- An effective and distributed particle swarm optimization algorithm for flexible job-shop scheduling problem, in Journal of Intelligent Manufacturing ; 2018.
- Two stage particle swarm optimization to solve the flexible job shop predictive scheduling problem considering possible machine breakdowns, in Computers & Industrial Engineering ; 2017.
Journal articles (7)
- Artificial intelligence tools in transportation ; 2019.
- 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 2019 - Proceedings ; 2019.
- Inventory Control under Possible Delivery Perturbations in Physical Internet Supply Chain Network ; 2018.
- Towards Energy Efficient Scheduling and Rescheduling for Dynamic Flexible Job Shop Problem ; 2018.
- Device Context Classification for Mobile Power Consumption Reduction, in Proceedings - 19th Euromicro Conference on Digital System Design, DSD 2016 ; 2016.
- Using IoT in breakdown tolerance: PSO solving FJSP, in International Design and Test Workshop ; 2016.
- An improved multi agent particle swarm optimization to solve flexible job shop scheduling problem, in Proceedings - CIE 45: 2015 International Conference on Computers and Industrial Engineering ; 2015.
Conference papers (7)
- A Multi-agent Model for the Multi-plant Multi-product Physical Internet Supply Chain Network, in Studies in Computational Intelligence ; 2021.
- Toward Digital Twin for Cyber Physical Production Systems Maintenance: Observation Framework Based on Artificial Intelligence Techniques, in Studies in Computational Intelligence ; 2021.
- Dynamic clustering of PI-hubs based on forecasting demand in physical internet context, in Studies in Computational Intelligence ; 2020.
- Cooperation between smart manufacturing scheduling systems and energy providers: A multi-agent perspective, in Studies in Computational Intelligence ; 2019.
- A New Rescheduling Heuristic for Flexible Job Shop Problem with Machine Disruption, in Service Orientation in Holonic and Multi-Agent Manufacturing ; 2018.
Books and books sections (5)
- 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 arXiv ; 2019.
- Implementation of an embedded meta-heuristics to solve the scheduling problem in a flexible production job shop ; 2017.
Other publications (2)
Publications référencées sur HAL 
(23) ►
- A Q-Learning Rescheduling Approach to the Flexible Job Shop Problem Combining Energy and Productivity Objectives, in Sustainability ; 2021.
- Machine learning for demand forecasting in the physical internet: a case study of agricultural products in Thailand, in International Journal of Production Research ; 2020.
- An energy-efficient scheduling and rescheduling method for production and logistics systems, in International Journal of Production Research ; 2020.
- Towards Energy Efficient Scheduling of Manufacturing Systems through Collaboration between Cyber Physical Production and Energy Systems, in Energies ; 2019.
- 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 ; 2019.
- An effective and distributed particle swarm optimization algorithm for flexible job-shop scheduling problem, in Journal of Intelligent Manufacturing ; 2018.
- Two stage particle swarm optimization to solve the flexible job shop predictive scheduling problem considering possible machine breakdowns, in Computers & Industrial Engineering ; 2017.
Journal articles (7)
- Digital Twin for decision-support: An insight into the integration of simulation models into Digital Twin architecture, in SOHOMA workshop 2023 ; 2023.
- 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 ; 2021.
- 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 ; 2020.
- 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) ; 2019.
- Artificial intelligence tools in transportation, in First Workshop of the joint research lab, SurferLab ; 2019.
- Inventory Control under Possible Delivery Perturbations in Physical Internet Supply Chain Network, in 5th International Physical Internet Conference ; 2018.
- 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 ; 2018.
- Towards Energy Efficient Scheduling and Rescheduling for Dynamic Flexible Job Shop Problem, in 16th IFAC Symposium on Information Control Problems in Manufacturing ; 2018.
- Using IoT in breakdown tolerance: PSO solving FJSP, in 11th International Design & Test Symposium (IDT) ; 2016.
- Device Context Classification for Mobile Power Consumption Reduction, in 2016 Euromicro Conference on Digital System Design (DSD) ; 2016.
- An improved multi-agent particle swarm optimization to solve flexible job-shop scheduling problem., in 45th International Conference on Computers & Industrial Engineering (CIE45) ; 2015.
Conference papers (11)
- Moving Towards a Sustainable Model: Societal, Economic and Environmental, in Digitalization and Control of Industrial Cyber-Physical Systems: Concepts, Technologies and Applications ; 2022.
- 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.
- Cooperation Between Smart Manufacturing Scheduling Systems and Energy Providers: A Multi-agent Perspective, in Service Orientation in Holonic and Multi-Agent Manufacturing ; 2019.
- A New Rescheduling Heuristic for Flexible Job Shop Problem with Machine Disruption, in Service Orientation in Holonic and Multi-Agent Manufacturing ; 2018.
Books and books sections (4)
- Implémentation d'une méta-heuristique embarquée pour résoudre le problème d'ordonnancement dans un atelier flexible de production, THESE ; 2017.