Titlebook: Network Data Envelopment Analysis; Foundations and Exte Chiang Kao Book 20171st edition Springer International Publishing Switzerland 2017

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Special Types of Data,onal DEA models are based on this requirement. However, in many applications the inputs and outputs may not be physical factors, and thus the data are not necessarily positive real numbers. For example, if profit is used as an output then it can be negative, although the physical quantity of output

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Changes of Efficiency Over Time,t ones may not be efficient when compared with the DMUs of other groups. Similarly, the inefficient ones may become efficient when compared with those of other groups. The efficiency measures for DMUs of different groups are thus not comparable.

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Basic Ideas in Efficiency Measurement for Network Systems,erials and number of workers entering to manufacture products. After a period of time, the evaluator counts the quantity of products sent out of the plant. From the inputs consumed and the outputs produced, the evaluator is able to measure the relative efficiency of this plant compared to other simi

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Basic Two-Stage Systems,ns. This type of system was first noticed by Charnes et al. (1986) in studying the performance of US Army recruitment. They found that army recruitment actually had two stages, creating awareness through advertising and signing contracts. To assess the impact of an input on the performance of the sy

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General Two-Stage Systems,on are consumed by the second division for production. Specifically, no intermediate products flow out of the system, and the second division does not consume other inputs supplied from outside, except for the intermediate products. However, it should be noted that real world cases are usually more

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General Multi-Stage Systems,o multiple stages to suit more general cases. As a matter of fact, many real world systems have a multi-stage structure, with assembly lines as typical examples, where raw materials go through a number of work stations to become the final products. The meaning of multi-stage system in this context i

Endemic

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Mixed Systems,fied into one of those discussed in the preceding chapters, including series, parallel, hierarchical, assembly and disassembly, with only a few left unclassified. Since series, parallel, and hierarchical systems are special types of assembly and disassembly systems, the latter two are the most gener

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Dynamic Systems, specified period of time, or assume steady-state production, where capital or other quasi-fixed inputs are fixed. There is thus no time interdependence between the input utilization and output realization for a production unit in consecutive time periods, and these models do not differentiate capit