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9781402070822

Quantitative Models for Performance Evaluation and Benchmarking

by
  • ISBN13:

    9781402070822

  • ISBN10:

    1402070829

  • Format: Hardcover
  • Copyright: 2002-10-01
  • Publisher: Kluwer Academic Pub
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Summary

It is difficult to evaluate an organization's performance when there are multiple inputs and multiple outputs to the system. The difficulties are further enhanced when the relationships between the inputs and the outputs are complex and involve unknown tradeoffs. This book introduces DEA as a multiple-measure performance evaluation and benchmarking tool. 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. New DEA models and approaches are presented to deal with performance evaluation problems in a variety of contexts. 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. Value chain efficiency models and DEA benchmarking models can be utilized to study the impact of information technology (IT) investments. These models can help organizations better understand the real impact of their IT investments and integrate technology more efficiently and effectively for the future. Conventional and new DEA approaches are presented and discussed using 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. This book also provides easy-to-use DEA software - DEA Excel Solver. This DEA Excel Solver is an Add-In for Microsoft(r) Excel and provides a custom menu of DEA approaches, which include more than 150 different DEA models. It is an extremely powerful tool that can assist decision-makers in benchmarking and analyzing complex operational efficiency issues in manufacturing organizations as well as evaluating processes in banking, retail, franchising, health care, e-business, public services and many other industries. The DEA Excel Solver does not set limit on the number of units, inputs or outputs. With the capacity of Excel Solver, the DEA Excel Solver can deal with large sized performance evaluation tasks. For a free version of DEA Excel Solver, please visit www.deafrontier.com.

Table of Contents

List of Tables
xi
List of Figures
xv
Preface xxi
Basic DEA Models
Performance Evaluation, Tradeoffs, and DEA
1(4)
Envelopment Model
5(8)
Envelopment Models with Variable Returns to Scale
5(6)
Other Envelopment Models
11(2)
Envelopment Models in Spreadsheets
13(21)
Input-oriented VRS Envelopment Spreadsheet Model
14(2)
Using Solver
16(1)
Specifying the Target Cell
17(1)
Specifying Changing Cells
18(1)
Adding Constraints
18(1)
Non-Negativity and Linear Model
18(1)
Solving the Model
19(1)
Automating the DEA Calculation
20(4)
Calculating Slacks
24(2)
Other Input-oriented Envelopment Spreadsheet Models
26(2)
Output-oriented Envelopment Spreadsheet Models
28(6)
Multiplier Model
34(1)
Multiplier Models in Spreadsheets
34(5)
Slack-based Model
39(2)
Slack-based Models in Spreadsheets
41(6)
Measure-specific DEA Models
Measure-specific Models
47(1)
Measure-specific Models in Spreadsheets
48(2)
Performance Evaluation of Fortune 500 Companies
50(11)
Identification of Best Practice Frontier
50(2)
Measure-specific Performance
52(4)
Benchmark Share
56(5)
Returns-to-Scale
Introduction
61(1)
RTS Regions
61(2)
RTS Estimation
63(7)
VRS and CRS RTS Methods
63(2)
Improved RTS Method
65(1)
Spreadsheets for RTS Estimation
66(4)
Scale Efficient Targets
70(2)
RTS Classification Stability
72(15)
Input-oriented RTS Classification Stability
74(8)
Output-oriented RTS Classification Stability
82(3)
Spreadsheets for RTS Sensitivity Analysis
85(2)
Use of RTS Sensitivity Analysis
87(4)
DEA with Preference
Non-radial DEA Models
91(2)
DEA with Preference Structure
93(4)
DEA/Preference Structure Models in Spreadsheets
97(2)
DEA and Multiple Objective Linear Programming
99(6)
Output-oriented DEA
100(2)
Input-oriented DEA
102(1)
Non-Orientation DEA
103(2)
Modeling Undesirable Measures
Introduction
105(1)
Undesirable Outputs
106(5)
Undesirable Inputs
111(2)
Context-dependent Data Envelopment Analysis
Introduction
113(2)
Stratification DEA Method
115(4)
Input-oriented Context-dependent DEA
119(8)
Attractiveness
119(4)
Progress
123(4)
Output-oriented Context-dependent DEA
127(4)
Benchmarking Models
Introduction
131(1)
Variable-benchmark Model
132(10)
Fixed-benchmark Model
142(3)
Fixed-benchmark Model and Efficiency Ratio
145(4)
Minimum Efficiency Model
149(3)
Buyer-seller Efficiency Model
152(5)
Models for Evaluating Value Chains
Value Chain Efficiency
157(1)
Measuring Information Technology's Indirect Impact
158(10)
IT Performance Model
159(4)
Efficiency of IT Utilization
163(5)
Supply Chain Efficiency
168(13)
Supply Chain as an Input-Output System
169(2)
Supply Chain Efficiency Model
171(3)
Measuring Supply Chain Performance
174(7)
Congestion
Congestion Measure
181(6)
Congestion and Slacks
187(2)
Slack-based Congestion Measure
189(8)
Super Efficiency
Super-efficiency DEA Models
197(4)
Infeasibility of Super-efficiency DEA Models
201(16)
Output-oriented VRS Super-efficiency Model
206(3)
Other Output-oriented Super-efficiency Models
209(1)
Input-oriented VRS Super-efficiency Model
210(4)
Other Input-oriented Super-efficiency Models
214(3)
Sensitivity Analysis and Its Uses
Efficiency Sensitivity Analysis
217(3)
Stability Region
220(12)
Input Stability Region
220(3)
Output Stability Region
223(2)
Geometrical Presentation of Input Stability Region
225(7)
Infeasibility and Stability
232(4)
Simultaneous Data Change
236(18)
Sensitivity Analysis Under CRS
238(10)
Sensitivity Analysis under VRS
248(2)
Spreadsheet Models for Sensitivity Analysis
250(4)
Identifying Critical Performance Measures
254(9)
Identifying Critical Output Measures
258(1)
Identifying Critical Input Measures
259(4)
DEA Excel Solver
DEA Excel Solver
263(2)
Data Sheet Format
265(1)
Envelopment Models
266(1)
Multiplier Models
267(1)
Slack-based Models
267(1)
Measure-specific Models
268(1)
Returns-to-Scale
269(2)
Non-radial Models
271(1)
Preference Structure Models
271(1)
Undesirable Measure Models
271(1)
Context-dependent DEA
272(2)
Variable-benchmark Models
274(1)
Fixed-benchmark Models
274(1)
Minimum Efficiency Models
275(1)
Value Chain Efficiency
275(1)
Congestion
276(1)
Weak Disposability Models
276(1)
Super Efficiency Models
277(1)
Sensitivity Analysis
277(1)
Free Disposal Hull (FDH) Models
277(1)
Malmquist Index
278(3)
Cost Efficiency, Revenue Efficiency and Profit Efficiency
281(4)
References 285(6)
Author Index 291(2)
Topic Index 293

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