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Journal article
Bilevel Fuzzy Chance Constrained Hospital Outpatient Appointment Scheduling Model
Scientific programming, v 2016, pp 1-14
01 Jan 2016
Featured in Collection : UN Sustainable Development Goals @ Drexel
Abstract
Hospital outpatient departments operate by selling fixed period appointments for different treatments. The challenge being faced is to improve profit by determining the mix of full time and part time doctors and allocating appointments (which involves scheduling a combination of doctors, patients, and treatments to a time period in a department) optimally. In this paper, a bilevel fuzzy chance constrained model is developed to solve the hospital outpatient appointment scheduling problem based on revenue management. In the model, the hospital, the leader in the hierarchy, decides the mix of the hired full time and part time doctors to maximize the total profit; each department, the follower in the hierarchy, makes the decision of the appointment scheduling to maximize its own profit while simultaneously minimizing surplus capacity. Doctor wage and demand are considered as fuzzy variables to better describe the real-life situation. Then we use chance operator to handle themodel with fuzzy parameters and equivalently transform the appointment scheduling model into a crisp model. Moreover, interactive algorithm based on satisfaction is employed to convert the bilevel programming into a single level programming, in order to make it solvable. Finally, the numerical experiments were executed to demonstrate the efficiency and effectiveness of the proposed approaches.
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Details
- Title
- Bilevel Fuzzy Chance Constrained Hospital Outpatient Appointment Scheduling Model
- Creators
- Xiaoyang Zhou - Shaanxi Normal UniversityRui Luo - International Business SchoolCanhui Zhao - International Business SchoolXiaohua Xia - Renmin University of ChinaBenjamin Lev - Drexel UniversityJian Chai - Xidian UniversityRichard Li - Department of Industrial Engineering University of Toronto Toronto
- Publication Details
- Scientific programming, v 2016, pp 1-14
- Publisher
- Hindawi Publishing Group
- Number of pages
- 14
- Grant note
- 201606875006 / China Scholarship Council 71401093 / National Natural Science Foundation of China; National Natural Science Foundation of China (NSFC) 2016KRM089 / Soft Science Research Project of Shaanxi Province 14SZYB08 / Fundamental Research Funds for the Central Universities Xq16B01 / Research Center for Systems Science & Enterprise Development
- Resource Type
- Journal article
- Language
- English
- Academic Unit
- Decision Sciences (and Management Information Systems)
- Web of Science ID
- WOS:000385094600001
- Scopus ID
- 2-s2.0-84991373542
- Other Identifier
- 991019168461504721
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- Collaboration types
- Domestic collaboration
- International collaboration
- Web of Science research areas
- Computer Science, Software Engineering