Data envelopment analysis (DEA) is a useful tool for evaluating the performance of homogeneous DMUs, which has been the
157 67 17MB
English Pages 192 Year 2023
Table of contents :
Cover
Front Matter
1. Relationship Between Ratio Analysis, DEA-R and DEA Models
2. Determining the Production Possibility Set for Ratio Data: A Novel Hybrid DEA-R Approach
3. Incorporating Preference Information in DEA-R and DEA for Efficiency Analysis
4. Finding Suitable Target in DEA and DEA-R
5. Cost and Revenue Efficiency Based on MOLP in DEA-R Models
6. A Slack-Based Model for Efficiency Evaluation in DEA and DEA-R
7. A Centralized Resource Allocation Approach for Two-Stage Data Envelopment Analysis
8. The Two-Stage Network Based on Ratio Analysis Models
9. Calculating Environmental, Social and Economic Efficiencies of a Two-Stage Supply Chain in DEA-R Using Genetic Algorithm