DEA 1. Basic of Data Envelopment Analysis (DEA)
Автор: Sholih Nugroho Hadi [Sholih]
Загружено: 2023-11-09
Просмотров: 3806
Описание:
DEA is a method or analytical tool that uses linear programming techniques, used to evaluate performance and benchmarking (measuring the level of efficiency/inefficiency) of DMU (decision making unit). Advantages of DEA: 1)Enables efficiency measurements involving multiple inputs and outputs, 2)
It does not require initial assumptions of mathematical relationships between input and output, 3) Sources of inefficiency can be detected and quantified so that they can be used as evaluation material.
Charnes, Cooper, & Rhodes (1978), introduced DEA model known as CCR DEA Model under constant return to scale (CRS). Banker, charnes, cooper (1984) introduced new DEA model known as BCC DEA under variable return to scale (VRS).
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