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Product details:
- ISBN-10 : 111894562X
- ISBN-13 : 978-1118945629
- Author: Tone
Advances in DEA Theory and Applications provides a much-needed framework for assessing the performance of competing entities with special emphasis on forecasting models. It helps readers to determine the most appropriate methodology in order to make the most accurate decisions for implementation. Written by a noted expert in the field, this text provides a review of the latest advances in DEA theory and applications to the field of forecasting.
Designed for use by anyone involved in research in the field of forecasting or in another application area where forecasting drives decision making, this text can be applied to a wide range of contexts, including education, health care, banking, armed forces, auditing, market research, retail outlets, organizational effectiveness, transportation, public housing, and manufacturing.
Table of contents:
1 Radial DEA Models
2 Non-Radial DEA Models
3 Directional Distance DEA Models
4 Super-Efficiency DEA Models
5 Determining Returns to Scale in the VRS DEA Model
6 Malmquist Productivity Index Models
7 The Network DEA Model
8 The Dynamic DEA Model
9 The Dynamic Network DEA Model
10 Stochastic DEA: The Regression-Based Approach
11 A Comparative Study of AHP and DEA
12 A Computational Method for Solving DEA Problems with Infinitely Many DMUs
Part II Dea Applications (past–present Scenario)
13 Examining the Productive Performance of Life Insurance Corporation of India
14 An Account of DEA-Based Contributions in the Banking Sector
15 DEA in the Healthcare Sector
16 DEA in the Transport Sector
17 Dynamic Network Efficiency of Japanese Prefectures
18 A Quantitative Analysis of Market Utilization in Electric Power Companies
19 DEA in Resource Allocation
20 How to Deal with Non-convex Frontiers in Data Envelopment Analysis
21 Using DEA to Analyze the Efficiency of Welfare Offices and Influencing Factors: The Case of Japan’s Municipal Public Assistance Programs
22 DEA as a Kaizen Tool: SBM Variations Revisited
Part III Dea for Forecasting and Decision-making (past–present–future Scenario)
23 Corporate Failure Analysis Using SBM
24 Ranking of Bankruptcy Prediction Models under Multiple Criteria
25 DEA in Performance Evaluation of Crude Oil Prediction Models
26 Predictive Efficiency Analysis: A Study of US Hospitals
27 Efficiency Prediction Using Fuzzy Piecewise Autoregression
28 Time Series Benchmarking Analysis for New Product Scheduling: Who Are the Competitors and How Fast Are They Moving Forward?
29 DEA Score Confidence Intervals with Past–Present and Past–Present–Future-Based Resampling
30 DEA Models Incorporating Uncertain Future Performance
31 Site Selection for the Next-Generation Supercomputing Center of Japan
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