Name
Abstract | ||
|---|---|---|
•A multi-objective approach was devised to analyze a hospital's capacity to do work.•This approach facilitates a sensitivity analysis of the patient case mix.•The multi-objective optimization model was solved by the epsilon constraint method.•To identify the best solution, a separable programming approach was developed.•Multiple optimal solutions are obtained via an iterative solution approach. |
Year | DOI | Venue |
|---|---|---|
2016 | 10.1016/j.ejor.2016.05.041 | European Journal of Operational Research |
Keywords | Field | DocType |
Capacity analysis,Epsilon constraint methods,Health care,Hospitals,Hospital resource planning,Multi-criteria,Theoretical capacity | Iterative refinement,Health care,Public hospital,Computer science,Operations research,Case mix index,Separable programming | Journal |
Volume | Issue | ISSN |
255 | 2 | 0377-2217 |
Citations | PageRank | References |
4 | 0.42 | 11 |
Authors | ||
2 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Robert L. Burdett | 1 | 55 | 8.30 |
| Erhan Kozan | 2 | 315 | 32.28 |