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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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A reinforcement learning approach for transaction scheduling in a shuttle-based storage and retrieval system
Ekren, B. Y. & Arslan, B., 29 Mar 2022, (E-pub ahead of print) In: International Transactions in Operational Research. XX, X, p. 1-22Research output: Contribution to journal › Article › Academic › peer-review
Open Access3 Citations (Scopus) -
Transaction selection policy in tier-to-tier SBSRS by using Deep Q-Learning
Arslan, B. & Ekren, B. Y., 30 Nov 2022, (E-pub ahead of print) In: International Journal of Production Research. XX, XResearch output: Contribution to journal › Article › Academic › peer-review
Open Access1 Citation (Scopus) -
A Machine Learning Application for Transaction Picking in a Tier-to-tier SBS/RS
Arslan, B. & Ekren, B. Y., 2021, Yasar University.Research output: Book/Report › Report › Academic
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Smart Transaction Picking in Tier-to-tier SBS/RS by Deep Q-Learning
Arslan, B. & Yetkin Ekren, B., 2021, Proceedings of the 11th Annual International Conference on Industrial Engineering and Operations Management, 2021. IEOM Society, p. 6415-6425 11 p. 1099. (Proceedings of the International Conference on Industrial Engineering and Operations Management).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review
Open Access1 Citation (Scopus) -
Simulation-based lateral transshipment policy optimization for s, S inventory control problem in a single-echelon supply chain network
Yetkin Ekren, B. & Arslan, B., 2020, In: International Journal of Optimization and Control: Theories & Applications. 10, 1, p. 9-16 8 p.Research output: Contribution to journal › Article › Academic › peer-review
Open AccessFile10 Citations (Scopus)25 Downloads (Pure)
Prizes
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IEOM Supply Chain and Logistics Competition 2nd Place
Arslan, Bartu (Recipient), Mar 2021
Prize: Other › Career, activity or publication related prizes (lifetime, best paper, poster etc.) › Scientific