A Two-Stage Approach for Resource Allocation and Surgery Scheduling With Assistant Surgeons
The high costs of operating rooms (ORs) make surgery scheduling decisions critical for hospitals, which refer to resource allocations and determining the start time of each surgery. We take into account an important issue that could affect surgery scheduling decisions, ie., assistant surgeons. The o...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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IEEE
2020-01-01
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| Series: | IEEE Access |
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| Online Access: | https://ieeexplore.ieee.org/document/9028208/ |
| _version_ | 1828890660808163328 |
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| author | Jin Wang Xin Li Jing Chu Kwok-Leung Tsui |
| author_facet | Jin Wang Xin Li Jing Chu Kwok-Leung Tsui |
| author_sort | Jin Wang |
| collection | DOAJ |
| description | The high costs of operating rooms (ORs) make surgery scheduling decisions critical for hospitals, which refer to resource allocations and determining the start time of each surgery. We take into account an important issue that could affect surgery scheduling decisions, ie., assistant surgeons. The operating room scheduling problem is considered as a two-stage problem. The first stage refers to resource allocations, including allocating surgeries into ORs and assigning assistant surgeons to surgeries, while the start time of each surgery is determined in the second stage. The robustness of the model is considered in a tractable way. We develop a bound-based algorithm to solve the model with the objective of minimising the total cost in the two stages. Numerical studies show the good performances of the proposed algorithm. Sensitivity analysis is conducted to examine the effects of the key parameters. An easy-to-implement policy for decisions in the first stage is inspired by the results of the experiments. |
| first_indexed | 2024-12-13T13:03:00Z |
| format | Article |
| id | doaj.art-ace317a0d6fd4df1ac8e9a919e4972d1 |
| institution | Directory Open Access Journal |
| issn | 2169-3536 |
| language | English |
| last_indexed | 2024-12-13T13:03:00Z |
| publishDate | 2020-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Access |
| spelling | doaj.art-ace317a0d6fd4df1ac8e9a919e4972d12022-12-21T23:44:55ZengIEEEIEEE Access2169-35362020-01-018494874949610.1109/ACCESS.2020.29795199028208A Two-Stage Approach for Resource Allocation and Surgery Scheduling With Assistant SurgeonsJin Wang0https://orcid.org/0000-0003-4047-4297Xin Li1Jing Chu2Kwok-Leung Tsui3https://orcid.org/0000-0002-0558-2279School of Intelligent Systems Science and Engineering, Institute of Physical Internet, Jinan University at Zhuhai, Zhuhai, ChinaResearch Center for Modeling and Optimization of Complex Management Systems, College of Management, Shenzhen University, Shenzhen, ChinaDepartment of Urology, Zhuhai People’s Hospital (Zhuhai Hospital affiliated with Jinan University), Zhuhai, ChinaSchool of Data Science, City University of Hong Kong, Hong KongThe high costs of operating rooms (ORs) make surgery scheduling decisions critical for hospitals, which refer to resource allocations and determining the start time of each surgery. We take into account an important issue that could affect surgery scheduling decisions, ie., assistant surgeons. The operating room scheduling problem is considered as a two-stage problem. The first stage refers to resource allocations, including allocating surgeries into ORs and assigning assistant surgeons to surgeries, while the start time of each surgery is determined in the second stage. The robustness of the model is considered in a tractable way. We develop a bound-based algorithm to solve the model with the objective of minimising the total cost in the two stages. Numerical studies show the good performances of the proposed algorithm. Sensitivity analysis is conducted to examine the effects of the key parameters. An easy-to-implement policy for decisions in the first stage is inspired by the results of the experiments.https://ieeexplore.ieee.org/document/9028208/Assistant surgeonmixed integer programmingsurgery schedulingtwo-stage approach |
| spellingShingle | Jin Wang Xin Li Jing Chu Kwok-Leung Tsui A Two-Stage Approach for Resource Allocation and Surgery Scheduling With Assistant Surgeons IEEE Access Assistant surgeon mixed integer programming surgery scheduling two-stage approach |
| title | A Two-Stage Approach for Resource Allocation and Surgery Scheduling With Assistant Surgeons |
| title_full | A Two-Stage Approach for Resource Allocation and Surgery Scheduling With Assistant Surgeons |
| title_fullStr | A Two-Stage Approach for Resource Allocation and Surgery Scheduling With Assistant Surgeons |
| title_full_unstemmed | A Two-Stage Approach for Resource Allocation and Surgery Scheduling With Assistant Surgeons |
| title_short | A Two-Stage Approach for Resource Allocation and Surgery Scheduling With Assistant Surgeons |
| title_sort | two stage approach for resource allocation and surgery scheduling with assistant surgeons |
| topic | Assistant surgeon mixed integer programming surgery scheduling two-stage approach |
| url | https://ieeexplore.ieee.org/document/9028208/ |
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