Optimizing performance with multiple responses using cross-evaluation and aggressive formula- tion in DEA. IIE Trans 2012; 44: 1-15.Al-Refaie, A. (2012). Optimizing performance with multiple responses using cross-evaluation and aggressive formulation in data envelopment analysis, IIE Transactions, ...
This paper introduces a comprehensive framework for detecting and conceptualizing heterogeneity in data envelopment analysis (DEA), aligning with the micro
Data Envelopment Analysis, also known as DEA, is a non-parametric method for performing frontier analysis. It uses linear programming to estimate the efficiency of multiple decision-making units and it is commonly used in production, management and economics. The technique was first proposed byCharne...
Oberholzer [41] describes a balance sheet-based data envelopment analysis model and an income statement-based model and compares these models based on the technical efficiencies and scale of the companies. Furthermore, it implies that although the balance sheet and income statement appear to be ...
Data envelopment analysis (DEA) is a method for evaluating efficiency and performance of a set of homogenous decision-making units (DMUs) by solving linear programming problems. DEA models evaluate the relative efficiency of a set of DMUs that use multiple resources (inputs) for the production of...
KEYWORDS: higher education, production efficiency, data envelopment analysis, Tobit regression, sensitivity INTRODUCTION 1.1. Efficiency considerations in the financing of higher education The viewpoints applied by the different education researchers and analysts for the assessment of the financing ...
Journal of Productivity Analysis (2025) 63:219–237 https://doi.org/10.1007/s11123-024-00749-9 Accounting choices in data envelopment analysis Claire Murong Cui1 ● Julie A. Harrison2 ● Frederick Ng2 ● Paul Rouse2 Accepted: 21 December 2024 / Published online: 14 January 2025 © The ...
A novel FMECA method for CNC machine tools based on D-GRA and data envelopment analysis ArticleOpen access04 November 2024 Introduction Research Background, through the predictive maintenance early warning system of dual core heavy core edge lens, an intelligent polymorphic system of heavy core cluste...
In the context of two-stage data envelopment analysis (DEA) for efficiency correction, we shift the focus from the common central tendency orientation in its second stage to an individually oriented procedure. We propose to evaluate the influence of contextual variables on each unit's performance ...
(1978), studies in Data Envelopment Analysis (DEA) have been extensive: more than 1000 papers by 1996. One of the main objectives of DEA is to measure the e?ciency of a Decision Making Unit (DMU) by a scalar measure ranging between zero (the worst) and one (the best). This scalar...