GENERATING DECISION SUPPORT INFORMATION FOR NURSE SCHEDULING INCLUDING EFFECTIVE MODIFICATIONS OF SOLUTIONS-Reference-Cited by-同舟云学术

GENERATING DECISION SUPPORT INFORMATION FOR NURSE SCHEDULING INCLUDING EFFECTIVE MODIFICATIONS OF SOLUTIONS

Published:2021-04-30 Issue:2 Volume:64 Page:109-127
ISSN:0453-4514
Container-title:Journal of the Operations Research Society of Japan
language:en
Short-container-title:JORSJ

Author:

Hasebe Masaya¹,Nonobe Koji²,Wu Wei³,Katoh Naoaki¹,Tanabe Takahito⁴,Ikegami Atsuko¹

Affiliation:

1. Seikei University

2. Hosei University

3. Shizuoka University

4. NTT DATA Mathematical Systems Inc.

Publisher

The Operations Research Society of Japan

Subject

Management Science and Operations Research,General Decision Sciences

Link

https://www.jstage.jst.go.jp/article/jorsj/64/2/64_109/_pdf

Reference18 articles.

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3. [3] P. Brucker, E.K. Burke, T. Curtois, R. Qu, and G.V. Berghe: A shift sequence based approach for nurse scheduling and a new benchmark dataset. Journal of Heuristics, 16 (2010), 559–573.

4. [4] G. Baskaran, A. Bargiela, and R. Qu: Using branch and bound to solve the nurse scheduling problem. Proceedings of 2014 International Conference on Artificial Intelligence & Manufacturing Engineering, IIE ICAIME2014, 2014, 203–209.

5. [5] E.K. Burke, P. De Causmaecker, G.V. Berghe, and H. Van Landeghem: The state of the art of nurse rostering. Journal of Scheduling, 7 (2004), 441–499.