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Network Data Envelopment Analysis with Data-Driven Absolute Standards
DOI:10.1016/j.ejor.2026.04.038.png)
Abstract
En 中文
• Proposes a novel approach to embed absolute performance standards into network DEA models. • Addresses complex multi-process systems with undesirable outputs and inter-stage dependencies. • Introduces a method to construct standard DMUs as benchmarks for inefficient network units. • Develops new models for generating activity matrices and evaluating divisional and overall performance. • Demonstrates the approach through a case study in food supply chains, offering practical managerial insights.
Keywords:
Network DEA
Absolute performance standards
Undesirable outputs
Inter-stage dependencies
Data-driven benchmarks
Journal
IF:
6
Papers:
2.2W
Citations:
6.4W

