Data envelopment analysis (DEA), a mathematical-programming-based method, has been developed in the operations research and economics literatures for effecting efficiency evaluations. Its use is explained and illustrated with an application to data on turbofan jet engines. Results are compared with standard engineering methods for measuring efficiency. In contrast to the latter, DEA handles data on multiple inputs and multiple outputs that can be used to characterize the performance of each engine. This is accomplished without recourse to any use of prearranged weights. DEA also provides information on the sources and amounts of inefficiencies in each input and output of each engine without requiring knowledge of the functional relations that give rise to these estimates. DEA represents an alternative method for evaluating efficiencies. Its purpose is to augment, not replace, traditional methods.
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Tsinghua Univ, Ctr China Study, Beijing 100084, Peoples R ChinaTsinghua Univ, Ctr China Study, Beijing 100084, Peoples R China
Zhang, Ning
Hu, Angang
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Tsinghua Univ, Ctr China Study, Beijing 100084, Peoples R ChinaTsinghua Univ, Ctr China Study, Beijing 100084, Peoples R China
Hu, Angang
Zheng, Jinghai
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Tsinghua Univ, Ctr China Study, Beijing 100084, Peoples R China
Gothenburg Univ, Dept Econ, Gothenburg, SwedenTsinghua Univ, Ctr China Study, Beijing 100084, Peoples R China
机构:
Shaheed Rajguru College of Applied Sciences for Women, University of Delhi, DelhiShaheed Rajguru College of Applied Sciences for Women, University of Delhi, Delhi
Saxena P.
Saxena R.R.
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Deen Dayal Upadhyaya College, University of Delhi, DelhiShaheed Rajguru College of Applied Sciences for Women, University of Delhi, Delhi