Dr Fatima Ezzahra Achamrah
Management School
Lecturer in Operations and Supply Chain Management
+44 114 222 3451
Full contact details
Management School
Sheffield University Management School
Conduit Road
Sheffield
S10 1FL
- Profile
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Fatima Ezzahra Achamrah is a Lecturer in Operations and Supply Chain Management at Sheffield University Management School, University of Sheffield, United Kingdom. Fatima Ezzahra holds a Ph.D. in industrial engineering from Paris Saclay University, CentraleSupelec, France, and an engineering degree (MEng/CEng) in process engineering from the National School of Applied Sciences, Morocco.
Before joining the Management School, Fatima Ezzahra worked as a postdoc researcher at the Centre for Management Science of Mines Paris - PSL University, France, and as an R&D Engineer at HEC Liège, Ecole Centrale Casablanca, and GE.
Her research interests are at the forefront of the intersection between operations research and machine learning, particularly focused on combinatorial optimization problems. She employs an interdisciplinary approach that integrates advanced AI techniques, such as reinforcement learning, with both exact and meta-heuristic methods. This enables her to tackle complex challenges in diverse areas, including vehicle routing, inventory routing, selective maintenance, and 3D bin packing problems. A significant aspect of her work also involves delving into flow and disruption management within cyber-physical networks, with a special emphasis on the ground-breaking concept of the 'Physical Internet'. Her overarching goal is to enhance the efficiency and resilience of these systems, thereby contributing to the advancement of these critical fields.
- Qualifications
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- Ph.D. in industrial engineering from Paris Saclay University, CentraleSupelec, France
- Engineering degree (MEng/CEng) in process engineering from the National School of Applied Sciences in Morocco
- Research interests
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- Combinatorial Optimization in Logistics and Production Systems
- Resilience in Cyber-Physical and Collaborative Networks
- Machine Learning/AI in OR.
- Publications
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Journal articles
- A gradient-descent-based framework for solving a stochastic two-echelon delivery problem with cargo-bikes. Transportation Research Part E: Logistics and Transportation Review, 189, 103677-103677.
- A dynamic and reactive routing protocol for the physical internet network. International Journal of Production Research, 1-19.
- Multi-objective reinforcement learning-based framework for solving selective maintenance problems in reconfigurable cyber-physical manufacturing systems. International Journal of Production Research.
- An Artificial-Immune-System-Based Algorithm Enhanced with Deep Reinforcement Learning for Solving Returnable Transport Item Problems. Sustainability (Switzerland), 14(10).
- A matheuristic for solving inventory sharing problems. Computers & Operations Research, 138, 105605-105605.
- Spare parts inventory routing problem with transshipment and substitutions under stochastic demands. Applied Mathematical Modelling, 101, 309-331.
- Solving inventory routing with transshipment and substitution under dynamic and stochastic demands using genetic algorithm and deep reinforcement learning. International Journal of Production Research, 60(20), 6187-6204.
Conference proceedings papers
- Bi-level programming for modelling inventory sharing in decentralized supply chains. Transportation Research Procedia, Vol. 62 (pp 517-524)
- Collaboration Mechanism for Shared Returnable Transport Items in Closed Loop Supply Chains. Proceedings of the 9th International Conference on Operations Research and Enterprise Systems, 22 February 2020 - 24 February 2020.
- Research group
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- Operations Management and Decision Sciences (OMDS)
- Grants
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- (2024-2024), Principal Investigator (Project Lead), The Grantham Centre for Sustainable Futures (GCSF) GO Fund, £10,000
- (2021-2023), Co-Investigator (Co- Lead), APR&D programme, £420,000
- Teaching activities
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Fatima Ezzahra is currently co-leading the following modules at the Sheffield University School of Management:
- MGT6155: Supply Networks Management - This is a postgraduate module included in the MSc programme in Logistics and Supply Chain Management.
- MGT3010: Applications of Operations & Supply Chain Management - An undergraduate module designed for third-year students enrolled in the Business Management programme.
Fatima Ezzahra is currently leading the Operations Management stream in MGT136: Management Themes and Perspectives. This is an undergraduate module targeted at first-year students as part of the Business Management programme.
- PhD Supervision
- Operations and supply chain efficiency, resilience, and sustainability
- Flow and disruption management in cyber-physical networks (e.g., Physical Internet)
- Intelligent Digital Twins