Proceedings of the 2017 2nd International Conference on Financial Innovation and Economic Development (ICFIED 2017)

Research on hospital operation scheduling based on chance constraints under uncertain conditions

Authors
Weining Li, Fuyu Wang
Corresponding Author
Weining Li
Available Online April 2017.
DOI
10.2991/icfied-17.2017.25How to use a DOI?
Keywords
fuzzy uncertainty , chance constrained, surgical scheduling, hybrid intelligent algorithm
Abstract

The uncertain factors in hospital operation scheduling process, selection of optimization problems in the risk level operation, in order to maximize the benefits of a hospital for elective surgery, in the fuzzy uncertain environment, considering the factors of time and resource constraints and risk confidence level, a fuzzy dependent chance programming model through the hybrid intelligent algorithm design to find the optimal solution of the model, finally this paper will illustrate the operability of the model, to prove the validity of the algorithm.

Copyright
© 2017, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the 2017 2nd International Conference on Financial Innovation and Economic Development (ICFIED 2017)
Series
Advances in Economics, Business and Management Research
Publication Date
April 2017
ISBN
978-94-6252-326-5
ISSN
2352-5428
DOI
10.2991/icfied-17.2017.25How to use a DOI?
Copyright
© 2017, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Weining Li
AU  - Fuyu Wang
PY  - 2017/04
DA  - 2017/04
TI  - Research on hospital operation scheduling based on chance constraints under uncertain conditions
BT  - Proceedings of the 2017 2nd International Conference on Financial Innovation and Economic Development (ICFIED 2017)
PB  - Atlantis Press
SP  - 129
EP  - 132
SN  - 2352-5428
UR  - https://doi.org/10.2991/icfied-17.2017.25
DO  - 10.2991/icfied-17.2017.25
ID  - Li2017/04
ER  -