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Title: Capacity planning with demand uncertainty for outpatient clinics
Authors: Nguyen, Thu Ba T.
Sivakumar, Appa Iyer
Graves, Stephen C.
Keywords: Engineering::Mechanical engineering
Appointment Lead-time
OR in Health Services
Issue Date: 2017
Source: Nguyen, T. B. T., Sivakumar, A. I., & Graves, S. C. (2018). Capacity planning with demand uncertainty for outpatient clinics. European Journal of Operational Research, 267(1), 338-348. doi:10.1016/j.ejor.2017.11.038
Series/Report no.: European Journal of Operational Research
Abstract: In this study, we develop a capacity planning model to determine the required number of physicians for an outpatient system with patient reentry. First-visit (FV) patients are assumed to arrive randomly to the system. After their first appointment, the FV patient may require additional appointments, and will then become a re-visit (RV) patient; after each appointment an RV patient will require subsequent visits with a given probability. The system must achieve a set of targets on the appointment lead-times for both FV and RV patients. Furthermore, the system must have sufficient capacity to assure that a given percentile of FV patients is admitted. We develop a deterministic model that finds the required capacity over a finite horizon. We establish the tractability of the deterministic model and show that it provides a reasonable approximation to the stochastic model. We also demonstrate the value from knowing the demands in terms of the required resources. These conclusions are numerically illustrated using real data from the Urology outpatient clinic of the studied hospital.
ISSN: 0377-2217
DOI: 10.1016/j.ejor.2017.11.038
Rights: © 2017 Elsevier B.V. All rights reserved. This paper was published in European Journal of Operational Research and is made available with permission of Elsevier B.V.
Fulltext Permission: open
Fulltext Availability: With Fulltext
Appears in Collections:MAE Journal Articles

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