Proceedings of the 2017 International Conference on Sports, Arts, Education and Management Engineering (SAEME 2017)

A study of Appointment Scheduling with No-Shows and Overbooking

Authors
Xudong Wang, Runtong Zhang
Corresponding Author
Xudong Wang
Available Online July 2017.
DOI
10.2991/saeme-17.2017.113How to use a DOI?
Keywords
Appointment scheduling, No-Shows, Overbooking.
Abstract

In the hospital clinic sub-time appointment mode, the patient will lead to a great waste of outpatient resources. In this paper, a multi-time multi-patient appointment strategy model is constructed in the case of patient's contract. The heuristic algorithm is used to obtain the effect of parameters such as patient's rejection rate and patient weight on optimal scheduling. We proposes an outpatient appointment strategy based on the overbooking model, which provides an appointment schedule for the hospital appointment schedule.

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 International Conference on Sports, Arts, Education and Management Engineering (SAEME 2017)
Series
Advances in Social Science, Education and Humanities Research
Publication Date
July 2017
ISBN
10.2991/saeme-17.2017.113
ISSN
2352-5398
DOI
10.2991/saeme-17.2017.113How 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  - Xudong Wang
AU  - Runtong Zhang
PY  - 2017/07
DA  - 2017/07
TI  - A study of Appointment Scheduling with No-Shows and Overbooking
BT  - Proceedings of the 2017 International Conference on Sports, Arts, Education and Management Engineering (SAEME 2017)
PB  - Atlantis Press
SP  - 502
EP  - 506
SN  - 2352-5398
UR  - https://doi.org/10.2991/saeme-17.2017.113
DO  - 10.2991/saeme-17.2017.113
ID  - Wang2017/07
ER  -