A reinforcement learning approach for transaction scheduling in a shuttle‐based storage and retrieval system-Reference-Cited by-同舟云学术

A reinforcement learning approach for transaction scheduling in a shuttle‐based storage and retrieval system

Published:2022-03-29 Issue: Volume: Page:
ISSN:0969-6016
Container-title:International Transactions in Operational Research
language:en
Short-container-title:Int Trans Operational Res

Author:

Y. Ekren Banu¹²,Arslan Bartu³

Affiliation:

1. Department of Industrial Engineering Yasar University No: 37‐39 Bornova Izmir Turkey

2. School of Management Cranfield University UK

3. Department of Industrial Engineering & Innovation Sciences Eindhoven University of Technology Eindhoven the Netherlands

Publisher

Wiley

Subject

Management of Technology and Innovation,Management Science and Operations Research,Strategy and Management,Computer Science Applications,Business and International Management

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1111/itor.13135

Reference53 articles.

1. Allied Market Research2020. Automated Storage and Retrieval System Market. Available at:https://www.alliedmarketresearch.com/automated-storage-and-retrieval-system-market-A06282(accessed 20 March 2021).

2. Arslan B. Ekren B.Y. 2021.Smart transaction picking in tier‐to‐tier SBS/RS by Deep Q‐learning.11th Annual International Conference on Industrial Engineering and Operations Management March 7–11 Singapore pp.6415–6425.

3. Machine learning for combinatorial optimization: A methodological tour d’horizon

4. Machine Learning for industrial applications: A comprehensive literature review

5. Sequencing dynamic storage systems with multiple lifts and shuttles

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