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Over the last few years Data Envelopment Analysis (DEA) has been gaining increasing popularity as a tool for measuring efficiency and productivity of Decision Making Units (DMUs).
The theory for measuring efficiency of producers has developed alternative approaches to correct for the effect of non-discretionary variables in the analysis.
The paper begins by exploring the advantages and drawbacks of the various methods for measuring efficiency in the higher education context.
A more appropriate parameter for measuring efficiency is the height equivalent to a theoretical plate (or plate height), HETP (or h), which is L/N, L being the length of the column.
Essentially, there are two main methodologies for measuring efficiency, that is, parametric methods and nonparametric methods.
The traditional methodology for measuring efficiency in economics has been the production frontier approach based on principles from statistics and econometrics [11].
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The NSBM is a non-radial method and is suitable for measuring efficiencies when inputs and outputs may change non-proportionally.
Alta Devices has the world record efficiency for solar, yet measuring efficiency alone understates the advantage of gallium arsenide.
For this reason, measuring efficiency becomes relevant.
Fig. 1 Two efficiency frontiers for measuring unified efficiency.
This paper proposes a super-efficiency model for measuring aggregative efficiency of multi-period production systems.
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