Projects per year
Personal profile
Research profile
Bartu Arslan is a PhD Candidate at Eindhoven University of Technology (TU/e) in the Industrial Engineering and Innovation Sciences (IE&IS) department working on the project titled AI-Based Replenishment and Order Fulfillment Strategies for Omnichannel Supply Chains. This project is a part of the AI Planner of the Future research program, supported by the European Supply Chain Forum (ESCF). His current research focuses on applying Deep Reinforcement Learning method for supply chain problems.
Academic background
Bartu Arslan obtained his master's degree in Industrial Engineering at Yasar University (Turkey) in 2021, and his bachelor's degree in Industrial Engineering at Yasar University in 2019.
During his master's and last year of bachelor's, he was a research fellow for a project supported by the Turkish Scientific Council (TUBITAK).
Expertise related to UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):
Education/Academic qualification
Master, A Machine Learning Application For Transaction Picking In A Tier-To-Tier SBS/RS, Yasar University
Sept 2019 → Jul 2021
Award Date: 13 Jul 2021
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Collaborations and top research areas from the last five years
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Projects
- 1 Active
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AI Planner of the future
van Woensel, T. (Project Manager), Arslan, B. (Project member), Remijnse, M. (Project member), Lo Bianco, R. (Project member), Chang, H. (Project member), Abouelrous, A. (Project member), Kahr, P. (Project member), Morales Pérez, D. (Project member), Maton, K. (Project member), Vos, R. A. H. (Project member) & Alankaya, T. (Project member)
1/09/21 → 31/12/26
Project: Third tier
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Optimal fulfillment and replenishment for omnichannel retailers with standard shipping contracts
Arslan, B. (Corresponding author), Schrotenboer, A. & Atan, Z., 1 Jun 2025, In: European Journal of Operational Research. 323, 2, p. 642-656 15 p.Research output: Contribution to journal › Article › Academic › peer-review
Open AccessFile -
A reinforcement learning approach for transaction scheduling in a shuttle-based storage and retrieval system
Ekren, B. Y. (Corresponding author) & Arslan, B., Jan 2024, In: International Transactions in Operational Research. 31, 1, p. 274-295 22 p.Research output: Contribution to journal › Article › Academic › peer-review
Open AccessFile15 Citations (Scopus)58 Downloads (Pure) -
Optimal Fulfillment and Replenishment for Omnichannel Retailers with Standard Shipping Contracts
Arslan, B., Schrotenboer, A. & Atan, Z., 25 Oct 2023, Social Science Research Network (SSRN), p. 1-29, 1 p.Research output: Working paper › Preprint › Academic
6 Downloads (Pure) -
Transaction selection policy in tier-to-tier SBSRS by using Deep Q-Learning
Arslan, B. & Ekren, B. Y. (Corresponding author), 2023, In: International Journal of Production Research. 61, 21, p. 7353-7366 14 p.Research output: Contribution to journal › Article › Academic › peer-review
Open AccessFile14 Citations (Scopus)22 Downloads (Pure) -
A Machine Learning Application for Transaction Picking in a Tier-to-tier SBS/RS
Arslan, B. & Ekren, B. Y. (Supervisor), 2021, Yasar University.Research output: Book/Report › Report › Academic
Prizes
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IEOM Supply Chain and Logistics Competition 2nd Place
Arslan, B. (Recipient), Mar 2021
Prize: Other › Career, activity or publication related prizes (lifetime, best paper, poster etc.) › Scientific