Capacity planning with demand uncertainty for outpatient clinics
Name
Nguyen Siva Graves Capacity planning with demand uncertainty for outpatient clinics _manuscripts.pdf
Description
Accepted version
Size
2.11 MB
Format
Adobe PDF
Checksum (MD5)
eae2fc8029429910c420ac33eedab538
Author(s)
Nguyen, Thu Ba T.
Sivakumar, Appa Iyer
Graves, Stephen C.
Date Issued
May 2018
Journal
European Journal of Operational Research
Publisher
Elsevier BV
Citation
Nguyen, Thu Ba T et al. "Capacity planning with demand uncertainty for outpatient clinics." European Journal of Operational Research 267, 1 (May 2018): 338-348 © 2017 Elsevier
Version
Author's final manuscript
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. Keywords: OR in health services; Appointment lead-time; Capacity planning; Demand uncertainty
MIT Department
Sloan School of Management
Terms of Use
Creative Commons Attribution-NonCommercial-NoDerivs License
Persistent DSpace Link
DOI of Published Version
https://doi.org/10.1016/j.ejor.2017.11.038
