A comment on multi-stage DEA methodology

DOI10.1016/S0167-6377(00)00068-7zbMath1016.91022OpenAlexW2073702850MaRDI QIDQ5940039

Laurens Cherchye, Tom Van Puyenbroeck

Publication date: 13 August 2003

Published in: Operations Research Letters (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/s0167-6377(00)00068-7

zbMATH Keywords

cost interpretationmix deviationmulti-stage DEA

Mathematics Subject Classification ID

Decision theory (91B06) Multi-objective and goal programming (90C29) Management decision making, including multiple objectives (90B50) Special problems of linear programming (transportation, multi-index, data envelopment analysis, etc.) (90C08)

Related Items

Least-Distance Range Adjusted Measure in DEA: Efficiency Evaluation and Benchmarking for Japanese Banks ⋮ USING THE MINIMUM DISTANCE OF DMUs FROM THE FRONTIER OF THE PPS FOR EVALUATING GROUP PERFORMANCE OF DMUs IN DEA ⋮ A LINEAR BILEVEL PROGRAMMING PROBLEM FOR OBTAINING THE CLOSEST TARGETS AND MINIMUM DISTANCE OF A UNIT FROM THE STRONG EFFICIENT FRONTIER ⋮ The relevance of DEA benchmarking information and the least-distance measure ⋮ Benchmarking within a DEA framework: setting the closest targets and identifying peer groups with the most similar performances ⋮ New Models for Computing the Distance of DMUs to the Weak Efficient Boundary of Convex and Nonconvex PPSs in DEA ⋮ A well-defined efficiency measure for dealing with closest targets in DEA ⋮ A New MIP Approach on the Least Distance Problem in DEA ⋮ Finding closest target for bank branches in the presence of weight restrictions using data envelopment analysis ⋮ Benchmarking in data envelopment analysis: an approach based on genetic algorithms and parallel programming ⋮ Semi-radial technical efficiency measurement ⋮ Unnamed Item ⋮ Closest targets in the slacks-based measure of efficiency for production units with multi-period data ⋮ A well-defined composite indicator: an application to corporate social responsibility

Cites Work

• Unnamed Item
• Unnamed Item
• Measuring the efficiency of decision making units
• Units invariant and translation invariant DEA models
• Measures of technical efficiency
• Measuring the technical efficiency of production
• Construction of all DEA efficient surfaces of the production possibility set under the Generalized Data Development Analysis model
• A multi-stage methodology for the solution of orientated DEA models
• Random problem genertion and the computation of efficient extreme points in multiple objective linear programming
• MODELS AND MEASURES FOR EFFICIENCY DOMINANCE IN DEA Part II : Free Disposal Hull (FDH) and Russel Measure (RM) Approaches
• The Coefficient of Resource Utilization
• Product mixes as objects of choice in non-parametric efficiency measurement