![](https://neoma-bs.com/sites/default/files/uploaded_images/profs-neoma_0.png)# TRAN Minh Tam { "@context": "https://schema.org", "@type": "BreadcrumbList", "itemListElement": [ { "@type": "ListItem", "position": 1, "name": "Home", "item": "https://neoma-bs.com/" }, { "@type": "ListItem", "position": 2, "name": "TRAN\u0020Minh\u0020Tam", "item": "https://neoma-bs.com/node/34133.md" } ] } - [Home](https://neoma-bs.com/) - TRAN Minh Tam ![](/sites/default/files/styles/large/public/uploaded_images/photos_academ/52717-tran-minh-tam.jpg?itok=35cCbmEt)TRAN Minh Tam Assistant Professor - About - Academic publications [Information Systems, Supply Chain & Decision Making](https://neoma-bs.com/departements/information-systems-supply-chain-decision-making) PhD Industrial Engineering Minh Tam Tran is an Assistant Professor of Management Science and Operations Research at NEOMA Business School, France. He holds two Master’s degrees in Statistical and Financial Engineering, Data Science, and Mathematics of Insurance, Economics, and Finance from Paris Dauphine University, Paris Sciences et Lettres University (PSL University), and École Normale Supérieure de Paris, PSL University. He obtained his Ph.D. in Industrial Engineering at the National Institute of Applied Sciences of Lyon (INSA Lyon). Before joining NEOMA Business School, he was a Postdoctoral Researcher at the Industrial Engineering Laboratory and Future Cities Lab of CentraleSupélec, Paris-Saclay University. His research offers qualitative and quantitative insights into the digital transformation of supply chains, with a focus on economic and financial aspects. He examines, for instance, how blockchain and Artificial Intelligence (AI) can enhance supply chain performance by reducing costs and improving service levels. Additionally, he explores omni-multichannel supply chain strategies and data-driven flow management. His work includes developing data-driven and machine-learning solutions for transportation and resource management challenges. His research has been published in the International Journal of Production Economics and presented at international conferences such as the International Symposium on Inventories (ISIR), the International Working Seminar on Production Economics (IWSPE), and the Institute for Operations Research and the Management Sciences (INFORMS) Annual Meeting. ### Areas of research - Inventory Management - Logistics and Supply Chain Management - Game Theory - Operations Research - Artificial Intelligence ## Recent academic contributions TRAN, M. T., Y. REKIK, K. HADJ-HAMOU, "Data-driven nonlinear optimization for chance-constrained newsvendor problem" in *22nd International Symposium on Inventories*, 2024, Budapest, Hungary TRAN, M. T., Y. REKIK, K. HADJ-HAMOU, "Optimal pricing for dual-channel retailing with stochastic attraction demand model", *International Journal of Production Economics*, February 2024, vol. 268, pp. 109127 DOI : [ 10.1016/j.ijpe.2023.109127 ](https://dx.doi.org/10.1016/j.ijpe.2023.109127) TRAN, M. T., Y. REKIK, K. HADJ-HAMOU, "Pricing strategy for dual-channel retailing using a stochastic attraction-demand model" in *PGMO Days 2023 - Gaspard Monge program for Optimization, Operations Research and their interactions with Data Science*, 2023, Palaiseau, France ## Publications TRAN, M. T., Y. REKIK, K. HADJ-HAMOU, "Optimal pricing for dual-channel retailing with stochastic attraction demand model", *International Journal of Production Economics*, February 2024, vol. 268, pp. 109127 DOI : [ 10.1016/j.ijpe.2023.109127 ](https://dx.doi.org/10.1016/j.ijpe.2023.109127) ## Conferences TRAN, M. T., Y. REKIK, K. HADJ-HAMOU, "Pricing strategy for dual-channel retailing using stochastic attraction-demand model." in *PGMO Days 2023 - Gaspar Monge program for Optimization, Operations Research and their interactions with Data Science*, 2023, France TRAN, M. T., Y. REKIK, K. HADJ-HAMOU, "Pricing strategies for dual channels retailers with stochastic demand model" in *10th Vietnam Mathematical Congress*, 2023, Viet Nam TRAN, M. T., Y. REKIK, K. HADJ-HAMOU, "A data-driven based approach for newsvendor problem subject to inventory inaccuracy" in *24ème congrès annuel de la Société Française de Recherche Opérationnelle et d'Aide à la Décision*, 2023, France TRAN, M. T., Y. REKIK, K. HADJ-HAMOU, "Optimal pricing for multi-channel retailing with stochastic attraction demand model" in *21st International Symposium on Inventories*, 2022 TRAN, M. T., Y. REKIK, K. HADJ-HAMOU, "Optimal pricing for a stochastic omnichannel attraction demand model with target cycle service levels" in *Twenty-second International Working Seminar on Production Economics*, 2022 TRAN, M. T., Y. REKIK, K. HADJ-HAMOU, "A chance-constrained optimisation model for the prcing and ordering omnichannel problem" in *23ème congrès annuel de la Société Française de Recherche Opérationnelle et d'Aide à la Décision*, 2022 TRAN, M. T., Y. REKIK, K. HADJ-HAMOU, "Integrated Inventory and Pricing Decisions for an Omnichannel Retailing model under Cycle Service Level" in *15th International Society for Inventory Research Summer Schools - Data-Driven Inventory Management and Modelling*, 2021 ## Conference contributions TRAN, M. T., Y. REKIK, K. HADJ-HAMOU, "Data-driven nonlinear optimization for chance-constrained newsvendor problem" in *22nd International Symposium on Inventories*, 2024, Budapest, Hungary TRAN, M. T., Y. REKIK, K. HADJ-HAMOU, "Pricing strategy for dual-channel retailing using a stochastic attraction-demand model" in *PGMO Days 2023 - Gaspard Monge program for Optimization, Operations Research and their interactions with Data Science*, 2023, Palaiseau, France TRAN, M. T., Y. REKIK, K. HADJ-HAMOU, "Pricing strategies for dual channels retailers with stochastic attraction demand model" in *10th Vietnam Mathematical Congress*, 2023, Da Nang, Viet Nam TRAN, M. T., Y. REKIK, K. HADJ-HAMOU, "A data-driven based approach for newsvendor problem subject to inventory inaccuracy" in *24th annual congress of the French Society for Operational Research and Decision Support*, 2023, Rennes, France TRAN, M. T., Y. REKIK, K. HADJ-HAMOU, "Optimal pricing for multi-channel retailing with stochastic attraction demand model" in *21st International Symposium on Inventories*, 2022, Budapest, Hungary TRAN, M. T., Y. REKIK, K. HADJ-HAMOU, "A chance-constrained optimisation model for the pricing and ordering omnichannel problem" in *23rd annual congress of the French Society for Operational Research and Decision Support*, 2022, Lyon, France TRAN, M. T., Y. REKIK, K. HADJ-HAMOU, "Optimal pricing for a stochastic omnichannel attraction demand model with tatrget cycle service levels" in *22nd International Working Seminar on Production Economics*, 2022, Innsbruck, Austria TRAN, M. T., Y. REKIK, K. HADJ-HAMOU, "Pricing decisions for an omnichannel retailing under service level considerations" in *22nd International Conference on Advances in Production Management Systems*, 2021, Nantes, France TRAN, M. T., Y. REKIK, K. HADJ-HAMOU, "Integrated inventory and pricing decisions for an omnichannel retailing model under cycle service level" in *15th International Society for Inventory Research Summer Schools - Data-Driven Inventory Management and Modelling*, 2021, Luxembourg ## Proceedings TRAN, M. T., Y. REKIK, K. HADJ-HAMOU, "Pricing Decisions for an Omnichannel Retailing Under Service Level Considerations", *Springer International Publishing*, 2021, pp. 175-185 DOI : [ 10.1007/978-3-030-85906-0\_20 ](https://dx.doi.org/10.1007/978-3-030-85906-0_20)