LEADER 04723nam 22007095 450 001 9910298487903321 005 20200920184722.0 010 $a1-4899-7553-5 024 7 $a10.1007/978-1-4899-7553-9 035 $a(CKB)3710000000377817 035 $a(EBL)2096339 035 $a(SSID)ssj0001465441 035 $a(PQKBManifestationID)11833326 035 $a(PQKBTitleCode)TC0001465441 035 $a(PQKBWorkID)11477840 035 $a(PQKB)10154683 035 $a(DE-He213)978-1-4899-7553-9 035 $a(MiAaPQ)EBC2096339 035 $a(PPN)184895243 035 $a(EXLCZ)993710000000377817 100 $a20150318d2015 u| 0 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt 182 $cc 183 $acr 200 10$aData Envelopment Analysis$b[electronic resource] $eA Handbook of Models and Methods /$fedited by Joe Zhu 205 $a1st ed. 2015. 210 1$aNew York, NY :$cSpringer US :$cImprint: Springer,$d2015. 215 $a1 online resource (472 p.) 225 1 $aInternational Series in Operations Research & Management Science,$x0884-8289 ;$v221 300 $aDescription based upon print version of record. 311 $a1-4899-7552-7 320 $aIncludes bibliographical references at the end of each chapters and index. 327 $aDistance Functions in Primal and Dual Spaces -- DEA Cross Efficiency -- DEA Cross Efficiency Under Variable Returns to Scale -- Discrete and Integer Valued Inputs and Outputs in Data Envelopnebt Analysis -- DEA Models with Production Trade-offs and Weight Restrictions -- Facet Analysis in Data Envelopment Analysis -- Stochastic Nonparametric Approach to Efficiency Analysis: A Unified Framework -- Translation Invariance in Data Envelopment Analysis -- Scale Elasticity in Non-parametric DEA Approach -- DEA Based Benchmarking Models -- Data Envelopment Analysis with Non-Homogeneous DMUs -- Efficiency Measurement in Data Envelopment Analysis with Fuzzy Data -- Partial Input to Output Impacts in DEA: Production Considerations and Resource Sharing Among Business Sub-Units -- Super-efficiency in Data Envelopment Analysis -- DEA Models with Undesirable Inputs -- Frontier Differences and the Global Malmquist Index. 330 $aThis handbook represents a milestone in the progression of Data Envelopment Analysis (DEA). Written by experts who are often major contributors to DEA theory, it includes a collection of chapters that represent the current state-of-the-art in DEA research. Topics include distance functions and their value duals, cross-efficiency measures in DEA, integer DEA, weight restrictions and production trade-offs, facet analysis in DEA, scale elasticity, benchmarking and context-dependent DEA, fuzzy DEA, non-homogenous units, partial input-output relations, super efficiency, treatment of undesirable measures, translation invariance, stochastic nonparametric envelopment of data, and global frontier index. Focusing only on new models/approaches of DEA, the book includes contributions from Juan Aparicio, Mette Asmild, Yao Chen, Wade D. Cook, Juan Du, Rolf Färe, Julie Harrison, Raha Imanirad, Andrew Johnson, Chiang Kao, Abolfazl Keshvari, Timo Kuosmanen, Sungmook Lim, Wenbin Liu, Dimitri Margaritis, Reza Kazemi Matin, Ole B. Olesen, Jesus T. Pastor, Niels Chr. Petersen, Victor V. Podinovski, Paul Rouse, Antti Saastamoinen, Biresh K. Sahoo, Kaoru Tone, and Zhongbao Zhou. 410 0$aInternational Series in Operations Research & Management Science,$x0884-8289 ;$v221 606 $aOperations research 606 $aDecision making 606 $aManagement science 606 $aIndustrial engineering 606 $aProduction engineering 606 $aOperations Research/Decision Theory$3https://scigraph.springernature.com/ontologies/product-market-codes/521000 606 $aOperations Research, Management Science$3https://scigraph.springernature.com/ontologies/product-market-codes/M26024 606 $aIndustrial and Production Engineering$3https://scigraph.springernature.com/ontologies/product-market-codes/T22008 615 0$aOperations research. 615 0$aDecision making. 615 0$aManagement science. 615 0$aIndustrial engineering. 615 0$aProduction engineering. 615 14$aOperations Research/Decision Theory. 615 24$aOperations Research, Management Science. 615 24$aIndustrial and Production Engineering. 676 $a519.72 702 $aZhu$b Joe$4edt$4http://id.loc.gov/vocabulary/relators/edt 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910298487903321 996 $aData envelopment analysis$9394439 997 $aUNINA