rdf-syntax-grammar
mods:
  schema location: http://www.loc.gov/mods/v3 http://www.loc.gov/standards/mods/v3/mods-3-2.xsd
  title info:
    title: Quantitative Models for Performance Evaluation and Benchmarking
    sub title: Data Envelopment Analysis with Spreadsheets
  name:
    name part: Zhu, Joe.
    role:
      role term: creator
    role:
      role term: author.
  name:
    name part: SpringerLink (Online service)
  type of resource: text
  origin info:
    place:
      place term: gw
    date issued: 2014
    edition: 3.
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: electronic
    form: electronic resource
    reformatting quality: access
    form: remote
    extent: XVIII, 414 p. online resource.
  abstract: Based 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.
  table of contents: Chapter 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.
  note: by Joe Zhu.
  subject:
    topic: Business
  subject:
    topic: Operations research
  subject:
    topic: Decision making
  subject:
    topic: Management science
  subject:
    topic: Industrial engineering
  subject:
    topic: Production engineering
  subject:
    topic: Business and Management
  subject:
    topic: Operation Research/Decision Theory
  subject:
    topic: Operations Research, Management Science
  subject:
    topic: Industrial and Production Engineering
  classification: HD30.23
  classification: 658.40301
  related item:
    title info:
      title: Springer eBooks
  related item:
    title info:
      title: International Series in Operations Research & Management Science, 213
  identifier: 9783319066479
  identifier: http://dx.doi.org/10.1007/978-3-319-06647-9
  record info:
    record creation date: 140911
    record change date: 20151204172955.0
    record identifier: 978-3-319-06647-9