On finding the most BCC-efficient DMU: a new integrated MIP-DEA model

DOI10.1016/j.apm.2011.11.074zbMath1254.90115OpenAlexW2003828418MaRDI QIDQ1930753

Mehdi Toloo

Publication date: 13 January 2013

Published in: Applied Mathematical Modelling (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.apm.2011.11.074

zbMATH Keywords

data envelopment analysiscommon set of weightsfacility layout designmixed integer programing modelmost BCC-efficient unit

Mathematics Subject Classification ID

Integer programming (90C10) Management decision making, including multiple objectives (90B50) Production models (90B30) Special problems of linear programming (transportation, multi-index, data envelopment analysis, etc.) (90C08)

Related Items (10)

An epsilon-free approach for finding the most efficient unit in DEA ⋮ A DEA based procedure for the selection of subgroups ⋮ The role of non-Archimedean epsilon in finding the most efficient unit: with an application of professional tennis players ⋮ A novel method for selecting a single efficient unit in data envelopment analysis without explicit inputs/outputs ⋮ Refined bounds for the non-Archimedean \(\epsilon\) in DEA ⋮ A minimax approach for selecting the overall and stage-level most efficient unit in two stage production processes ⋮ Selecting most efficient information system projects in presence of user subjective opinions: a DEA approach ⋮ An integrated data envelopment analysis and mixed integer non-linear programming model for linearizing the common set of weights ⋮ The nearest MPSS pattern in data envelopment analysis ⋮ A Linear Programming Relaxation DEA Model for Selecting a Single Efficient Unit with Variable RTS Technology

Cites Work

• Some Models for Estimating Technical and Scale Inefficiencies in Data Envelopment Analysis
• Measuring the efficiency of decision making units
• A new integrated DEA model for finding most BCC-efficient DMU
• A multiple criteria approach to data envelopment analysis
• Review of ranking methods in the data envelopment analysis context
• An improved MCDM DEA model for technology selection
• Practical common weight multi-criteria decision-making approach with an improved discriminating power for technology selection

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