Within-group common benchmarking using DEA
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Publication:1752274
DOI10.1016/j.ejor.2016.06.074zbMath1394.90335OpenAlexW2472824290MaRDI QIDQ1752274
Wade D. Cook, Inmaculada Sirvent, Joe Zhu, José Luis Ruiz
Publication date: 24 May 2018
Published in: European Journal of Operational Research (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/j.ejor.2016.06.074
Applications of mathematical programming (90C90) Linear programming (90C05) Management decision making, including multiple objectives (90B50) Special problems of linear programming (transportation, multi-index, data envelopment analysis, etc.) (90C08)
Related Items (10)
Theory and statistical properties of quantile data envelopment analysis ⋮ How to determine the consensus threshold in group decision making: a method based on efficiency benchmark using benefit and cost insight ⋮ Identifying suitable benchmarks in the way toward achieving targets using data envelopment analysis ⋮ Benchmarking within a DEA framework: setting the closest targets and identifying peer groups with the most similar performances ⋮ Setting closer targets based on non-dominated convex combinations of Pareto-efficient units: a bi-level linear programming approach in data envelopment analysis ⋮ Cost of effort in benchmarking: exploration and applications ⋮ A metafrontier-based yardstick competition mechanism for incentivising units in centrally managed multi-group organisations ⋮ Finding closest target for bank branches in the presence of weight restrictions using data envelopment analysis ⋮ Performance comparison of management groups under centralised management ⋮ Aggregation of inputs and outputs prior to data envelopment analysis under big data
Cites Work
- Measuring the efficiency of decision making units
- Input-output substitutability and strongly monotonic \(p\)-norm least distance DEA measures
- Efficiency analysis with ratio measures
- Within-group common weights in DEA: an analysis of power plant efficiency
- Variations on the theme of slacks-based measure of efficiency in DEA
- Duality, classification and slacks in DEA
- Pitfalls and protocols in DEA
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