Сравнение методов
Просматривайте выбранные методы рядом; строки с различиями подсвечены.
| Теория массового обслуживания в здравоохранении× | Эффективность больниц по методу DEA× | |
|---|---|---|
| Область | Управление здравоохранением | Управление здравоохранением |
| Семейство | Process / pipeline | Process / pipeline |
| Год появления≠ | 1909 | 1978 |
| Автор метода≠ | Agner Krarup Erlang | Abraham Charnes, William Cooper, Edward Rhodes |
| Тип≠ | Stochastic modeling and optimization technique | Non-parametric frontier estimation technique |
| Основополагающий источник≠ | Erlang, A. K. (1909). The theory of probabilities and telephone conversations. Nyt Tidsskrift for Matematik, 20(B), 33–39. link ↗ | Charnes, A., Cooper, W. W., & Rhodes, E. (1978). Measuring the efficiency of decision making units. European Journal of Operational Research, 2(6), 429–444. DOI ↗ |
| Другие названия | Healthcare Queuing, Queue Management Healthcare | Hospital DEA, Healthcare DEA |
| Связанные | 5 | 5 |
| Сводка≠ | Queuing theory is a mathematical discipline that models waiting lines, service capacity, and customer (patient) flow. Developed initially by Agner Erlang for telecommunications in 1909, it has been extensively applied to healthcare to analyze and optimize emergency departments, outpatient clinics, surgical suites, and diagnostic service centers. | Data Envelopment Analysis (DEA) is a linear programming technique for measuring the relative efficiency of multiple hospitals using multiple inputs and outputs. Introduced by Charnes, Cooper, and Rhodes in 1978, DEA has become the standard method for benchmarking hospital performance in healthcare systems worldwide. |
| ScholarGateНабор данных ↗ |
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