Large-scale dynamic surgical scheduling under uncertainty by hierarchical reinforcement learning-Reference-Cited by-同舟云学术

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Large-scale dynamic surgical scheduling under uncertainty by hierarchical reinforcement learning

Published:2024-06-14 Issue: Volume: Page:1-32
ISSN:0020-7543
Container-title:International Journal of Production Research
language:en
Short-container-title:International Journal of Production Research

Author:

Zhao Lixiang¹²,Zhu Han¹²^ORCID,Zhang Min¹²,Tang Jiafu¹²,Wang Yu³

Affiliation:

1. School of Management Science and Engineering, Dongbei University of Finance and Economics, Dalian, People's Republic of China

2. Key Laboratory of Liaoning Province Data Analysis & Optimization Decision-making, Dongbei University of Finance and Economics, Dalian, People's Republic of China

3. School of Business Administration, Northeastern University, Shenyang, People's Republic of China

Funder

National Natural Science Foundation of China

Dalian Scientific and Technological Talents Innovation Support Plan

State Key Laboratory of Synthetical Automation for Process Industries

Postgraduate Research Innovation

Publisher

Informa UK Limited

Link

https://www.tandfonline.com/doi/pdf/10.1080/00207543.2024.2361449

Reference61 articles.

1. Improving operational effectiveness of tactical master plans for emergency and elective patients under stochastic demand and capacitated resources

2. Dynamic Insertion of Emergency Surgeries With Different Waiting Time Targets

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

4. Operating room planning and scheduling: A literature review

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