![]() However, one main feature of both classical approaches is that each DMU optimizes its individual fraction by choosing the most favorable weights this is often called self-appraisal. For more details on this refer to Banker et al. It informs a DMU about its pure technical efficiency, namely the BCC-efficiency, as well as its qualitative and quantitative returns to scale (RTS), calculating a slightly different fraction as in the CCR case. The second well-studied model is that of Banker, Charnes, and Cooper published in 1984. ![]() ![]() Here, a ratio of weighted outputs to weighted inputs for the observed activity of a DMU will be optimized to determine its CCR-efficiency the acronym CCR stands for Charnes, Cooper, and Rhodes, of course. Data envelopment analysis (DEA) is a meaningful instrument for evaluating the efficiencies of profit and non-profit entities, so-called decision-making units (DMUs), cf. ![]()
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