Transaction selection policy in tier-to-tier SBSRS by using Deep <i>Q</i>-Learning-Reference-Cited by-同舟云学术

Transaction selection policy in tier-to-tier SBSRS by using Deep Q-Learning

Published:2022-11-30 Issue: Volume: Page:1-14
ISSN:0020-7543
Container-title:International Journal of Production Research
language:en
Short-container-title:International Journal of Production Research

Author:

Arslan Bartu¹,Ekren Banu Yetkin²³

Affiliation:

1. Department of Industrial Engineering & Innovation Sciences, Eindhoven University of Technology, Eindhoven, Netherlands

2. Department of Industrial Engineering, Yasar University, Izmir, Turkey

3. School of Management, Cranfield University, Bedfordshire, UK

Funder

The Scientific and Technological Research Council of Turkey

Publisher

Informa UK Limited

Subject

Industrial and Manufacturing Engineering,Management Science and Operations Research,Strategy and Management

Link

https://www.tandfonline.com/doi/pdf/10.1080/00207543.2022.2148767

Reference51 articles.

1. Allied Market Research. 2020. Automated Storage and Retrieval System Market. https://www.alliedmarketresearch.com/automated-storage-and-retrieval-system-market-A06282.

2. Sequencing dynamic storage systems with multiple lifts and shuttles

3. Choudhary, A. 2019. A Hands-On Introduction to Deep Q-Learning using OpenAI Gym in Python. https://www.analyticsvidhya.com/blog/2019/04/introduction-deep-q-learning-python/.

4. Genetic Scheduling and Reinforcement Learning in Multirobot Systems for Intelligent Warehouses

5. An analytical approach for a performance calculation of shuttle-based storage and retrieval systems

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