LEADER 04246nam 22006975 450 001 9911034941103321 005 20251020130400.0 010 $a3-031-99917-7 024 7 $a10.1007/978-3-031-99917-8 035 $a(CKB)41696289600041 035 $a(MiAaPQ)EBC32369510 035 $a(Au-PeEL)EBL32369510 035 $a(DE-He213)978-3-031-99917-8 035 $a(EXLCZ)9941696289600041 100 $a20251020d2025 u| 0 101 0 $aeng 135 $aur||||||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aStochastic Benchmarking $eTheory and Applications /$fby Alireza Amirteimoori, Biresh K. Sahoo, Vincent Charles, Saber Mehdizadeh 205 $a2nd ed. 2025. 210 1$aCham :$cSpringer Nature Switzerland :$cImprint: Springer,$d2025. 215 $a1 online resource (265 pages) 225 1 $aInternational Series in Operations Research & Management Science,$x2214-7934 ;$v371 311 08$a3-031-99916-9 327 $aBenchmarking -- An introduction to data envelopment analysis -- Probability Theory -- Stochastic data envelopment analysis -- Stochastic Network Data Envelopment Analysis -- Stochastic scale elasticity -- Managerial Ability in Deterministic and Stochastic Environments. 330 $aThis book introduces readers to benchmarking techniques in the stochastic environment, primarily stochastic data envelopment analysis (DEA), and provides stochastic models in DEA for the possibility of variations in inputs and outputs. It focuses on the application of theories and interpretations of the mathematical programs, which are combined with economic and organizational thinking. The book?s main purpose is to shed light on the advantages of the different methods in deterministic and stochastic environments and thoroughly prepare readers to properly use these methods in various cases. Simple examples, along with graphical illustrations and real-world applications in industry, are provided for a better understanding. The models introduced here can be easily used in both theoretical and real-world evaluations. This revised edition introduces three key updates: A new section on "Stochastic Data Envelopment Analysis in the Presence of Undesirable Outputs," extending Shephard's (1970) weak disposability assumption to a stochastic environment. A section on "Stochastic Scale Elasticity in the Presence of Undesirable Outputs" with an application to the power sector, incorporating both undesirable outputs and data uncertainty. Additionally, a new chapter on "Managerial Ability in Deterministic and Stochastic Environments" presents a two-step procedure using data envelopment analysis and regression analysis to assess managerial ability in the presence of multiple variables. This book is intended for graduate and PhD students, advanced consultants, and practitioners with an interest in quantitative performance evaluation. 410 0$aInternational Series in Operations Research & Management Science,$x2214-7934 ;$v371 606 $aOperations research 606 $aStochastic models 606 $aMathematical models 606 $aMathematical optimization 606 $aProduction management 606 $aOperations Research and Decision Theory 606 $aStochastic Modelling 606 $aMathematical Modeling and Industrial Mathematics 606 $aOptimization 606 $aOperations Management 615 0$aOperations research. 615 0$aStochastic models. 615 0$aMathematical models. 615 0$aMathematical optimization. 615 0$aProduction management. 615 14$aOperations Research and Decision Theory. 615 24$aStochastic Modelling. 615 24$aMathematical Modeling and Industrial Mathematics. 615 24$aOptimization. 615 24$aOperations Management. 676 $a519.23 700 $aAmirteimoori$b Alireza$01078939 701 $aSahoo$b Biresh K$01853068 701 $aCharles$b Vincent$0967435 701 $aMehdizadeh$b Saber$01853069 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9911034941103321 996 $aStochastic Benchmarking$94449149 997 $aUNINA