LEADER 05151nam  22007335  450 
001 9910298553603321
005 20200920124706.0
010   $a9783319066479$belectronic book
010   $a3-319-06647-1
010   $z3-319-06646-3
024 7 $a10.1007/978-3-319-06647-9
035   $a(CKB)3710000000239379
035   $a(EBL)1964670
035   $a(OCoLC)900740928
035   $a(SSID)ssj0001353708
035   $a(PQKBManifestationID)11724540
035   $a(PQKBTitleCode)TC0001353708
035   $a(PQKBWorkID)11315601
035   $a(PQKB)10280740
035   $a(MiAaPQ)EBC1964670
035   $a(DE-He213)978-3-319-06647-9
035   $a(PPN)181352443
035   $a(EXLCZ)993710000000239379
100   $a20140911d2014      u|         0
101 0 $aeng
135   $aur|n|||||||||
181   $ctxt
182   $cc
183   $acr
200 10$aQuantitative Models for Performance Evaluation and Benchmarking $eData Envelopment Analysis with Spreadsheets /$fby Joe Zhu
205   $a3rd ed. 2014.
210  1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2014.
215   $a1 online resource (xvii, 414 pages) $cillustrations
225 1 $aInternational Series in Operations Research & Management Science,$x0884-8289 ;$v213
300   $aDescription based upon print version of record.
320   $aIncludes bibliographical references and index.
327   $aChapter 1: Data Envelopment Analysis -- Chapter 2: Envelopment DEA Models -- Chapter 3: Multiplier DEA Model -- Chapter 4: DEA Cross Efficiency -- Chapter 5: Slack-Based DEA Models -- Chapter 6: Measure-Specific DEA Models.- Chapter 7: Non-radical DEA Models and DEA with Preference -- Chapter 8: Modeling Undesirable Measures -- Chapter 9: Context-dependent Data Envelopment Analysis -- Chapter 10: Super Efficiency -- Chapter 11: Sensitivity Analysis -- Chapter 12: Benchmarking Models -- Chapter 13: Returns-to-Scale -- Chapter 14: DEA Models for Two-Stage Network Processes -- Chapter 15: Models for Evaluating Supply Chains and Network Structures -- Chapter 16: Congestion.- Chapter 17: Identifying Critical Measures in DEA.- Chapter 18: Interval and Ordinal Data in DEA.- Chapter 19: DEAFrontier Software.
330   $aBased upon the author?s years of research and teaching experiences, this 3rd Edition introduces Data Envelopment Analysis (DEA) as a data analysis tool for multiple-measure performance evaluation and benchmarking. The focus of performance evaluation and benchmarking is shifted from characterizing performance in terms of single measures to evaluating performance as a multidimensional systems perspective. Conventional and new DEA approaches are presented and discussed using Excel spreadsheets ? one of the most effective ways to analyze and evaluate decision alternatives. The user can easily develop and customize new DEA models based upon these spreadsheets. DEA models and approaches are presented to deal with performance evaluation problems in a variety of contexts. For example, a context-dependent DEA measures the relative attractiveness of similar operations/processes/products. Sensitivity analysis techniques can be easily applied, and used to identify critical performance measures. Two-stage network efficiency models can be utilized to study performance of supply chain. DEA benchmarking models extend DEA?s ability in performance evaluation. Various cross efficiency approaches are presented to provide peer evaluation scores. This book also provides an easy-to-use DEA software ? DEAFrontier. This DEAFrontier is an Add-In for Microsoft® Excel and provides a custom menu of DEA approaches. This version of DEAFrontier is for use with Excel 97-2013 under Windows and can solve up to 50 DMUs, subject to the capacity of Excel Solver.
410  0$aInternational Series in Operations Research & Management Science,$x0884-8289 ;$v213
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   $a330
676   $a519.6
676   $a658.40301
676   $a670
700   $aZhu$b Joe$4aut$4http://id.loc.gov/vocabulary/relators/aut$0621873
906   $aBOOK
912   $a9910298553603321
996   $aQuantitative models for performance evaluation and benchmarking$91108203
997   $aUNINA