The Library
Robust capacity planning for accident and emergency services
Tools
Tools
Tools
Gökalp, Elvan (2020) Robust capacity planning for accident and emergency services. RAIRO - Operations Research, 54 (6). pp. 1757-1773. doi:10.1051/ro/2019112 ISSN 0399-0559.
|
PDF
WRAP-robust-capacity-planning-accident-services-Gokalp-2020.pdf - Accepted Version - Requires a PDF viewer. Download (1260Kb) | Preview |
Official URL: http://dx.doi.org/10.1051/ro/2019112
Abstract
Accident and emergency departments (A&E) are the first place of contact for urgent and complex patients. These departments are subject to uncertainties due to the unplanned patient arrivals. After arrival to an A&E, patients are categorized by a triage nurse based on the urgency. The performance of an A&E is measured based on the number of patients waiting for more than a certain time to be treated. Due to the uncertainties affecting the patient flow, finding the optimum staff capacities while ensuring the performance targets is a complex problem. This paper proposes a robust-optimization based approximation for the patient waiting times in an A&E. We also develop a simulation optimization heuristic to solve this capacity planning problem. The performance of the approximation approach is then compared with that of the simulation optimization heuristic. Finally, the impact of model parameters on the performances of two approaches is investigated. The experiments show that the proposed approximation results in good enough solutions.
| Item Type: | Journal Article | ||||||||
|---|---|---|---|---|---|---|---|---|---|
| Subjects: | R Medicine > RA Public aspects of medicine | ||||||||
| Divisions: | Faculty of Science, Engineering and Medicine > Engineering > WMG (Formerly the Warwick Manufacturing Group) | ||||||||
| Library of Congress Subject Headings (LCSH): | Emergency medical services, Robust optimization, Medical care -- Planning -- Mathematical models, Emergency management -- Evaluation -- Mathematical models | ||||||||
| Journal or Publication Title: | RAIRO - Operations Research | ||||||||
| Publisher: | E D P Sciences | ||||||||
| ISSN: | 0399-0559 | ||||||||
| Official Date: | November 2020 | ||||||||
| Dates: |
|
||||||||
| Volume: | 54 | ||||||||
| Number: | 6 | ||||||||
| Page Range: | pp. 1757-1773 | ||||||||
| DOI: | 10.1051/ro/2019112 | ||||||||
| Status: | Peer Reviewed | ||||||||
| Publication Status: | Published | ||||||||
| Reuse Statement (publisher, data, author rights): | Copyright / Published by: EDP Sciences | ||||||||
| Access rights to Published version: | Restricted or Subscription Access | ||||||||
| Copyright Holders: | Copyright / Published by: EDP Sciences | ||||||||
| Date of first compliant deposit: | 5 March 2020 | ||||||||
| Date of first compliant Open Access: | 9 March 2020 |
Request changes or add full text files to a record
Repository staff actions (login required)
 |
View Item |
Downloads
Downloads per month over past year
