... managerial criteria. Design/methodology/approach This paper investigates different sequential and data envelopment analysis models to identify conditions and propose solution procedures for multi-criteria multi-resource ( MCMR ) fixed-cost allocation ( FCA ) problems. Findings The paper shows...

... ). The focus is on helping managers and analysts handle large-scale decision problems with high-dimensional search spaces, often present in production and logistics systems. Design/methodology/approach The proposed method integrates Latin hypercube design ( LHD ) and data envelopment analysis with variable...

... distance function (DDF) specified within a data envelopment analysis (DEA) model, using data collected from an open source Sustainable Development Goals (SDGs) database. Findings The results indicate interregional disparities in eco-efficiency scores among Brazilian cities. Wealthier southeastern...

... analysis (DEA) literature. Therefore, in this article, this paper aims to develop two types of covering location problems joint with network data envelopment analysis. This paper propose biobjective mixed integer programming models associated with the aforementioned development. In the first model...

... variables. Design/methodology/approach The proposed method combines Data Envelopment Analysis (DEA) and Ordinary Least Squares (OLS). First, DEA evaluates the partial efficiency of each unit, considering all inputs and only one output. Next, OLS removes the influence of contextual variables...

... determinants by integrating data envelopment analysis (DEA) with artificial neural networks (ANN). Design/methodology/approach A slack-based measure (SBM) within DEA was used to evaluate the WCME of 1,388 firms in the Indian manufacturing sector across nine industries over the period from April 2009...

...-stage data envelopment analysis (DEA) model is proposed to plan resources. To illustrate, an interval two-stage network DEA model with external interval inputs and outputs and also its inverse problem are suggested to estimate the upper and lower bounds of the entire efficiency and the stages efficiency...

...Javad Gerami; Mohammad Reza Mozaffari; Peter Wanke; Yong Tan Purpose This study aims to present the cost and revenue efficiency evaluation models in data envelopment analysis in the presence of fuzzy inputs, outputs and their prices that the prices are also fuzzy. This study applies the proposed...

... inverse data envelopment analysis (DEA) approach with flexible measures is proposed in this research to assess inputs (outputs) and flexible measures when outputs (inputs) are perturbed on condition that the relative efficiency scores remain unchanged. Furthermore, flexible inverse DEA approaches proposed...

... of the two-stage network. A deterministic linear programming model is derived from a stochastic two-stage network data envelopment analysis (DEA) model by assuming that some basic stochastic elements are related to the inputs, outputs and intermediate products. The linkages between the overall process...

...Dyanne Brendalyn Mirasol-Cavero; Lanndon Ocampo Purpose University department efficiency evaluation is a performance assessment on how departments use their resources to attain their goals. The most widely used tool in measuring the efficiency of academic departments in data envelopment analysis...

... a different approach to estimate the performance, RTS and scale economies (SE) in network structures. Design/methodology/approach This paper proposes a novel non-radial approach based on data envelopment analysis to analyze the performance and to investigate RTS and SE in two-stage processes. Findings...

...Rita Shakouri; Maziar Salahi Purpose This paper aims to apply a new approach for resource sharing and efficiency estimation of subunits in the presence of non-discretionary factors and partial impacts among inputs and outputs in the data envelopment analysis (DEA) framework. Design/methodology...

...Shashi K. Shahi; Mohamed Dia; Peizhi Yan; Salimur Choudhury Purpose The measurement capabilities of the data envelopment analysis (DEA) models are used to train the artificial neural network (ANN) models for the best performance modeling of the sawmills in Ontario. The bootstrap DEA models measure...

... analysis Stochastic models Cost-benefit analysis Competitive advantage Data envelopment analysis Random data Section 1 describes the background of data envelopment analysis (DEA), cost-benefit analysis (CBA) and competitive advantages. Service industries and organizations (i.e. decision...

..., data envelopment analysis studies have investigated undesirable outputs by the assumption of weak disposability, defined as the proportional contraction of good and bad products, which leads to the null-joint assumption between good and bad outputs. Therefore, the only way to produce no undesirable...

...Ignacio Contreras Purpose Data envelopment analysis (DEA) is a mathematical method for the evaluation of the relative efficiency of a set of alternatives, which produces multiple outputs by consuming multiple inputs. Each unit is evaluated on the basis of the weighted output over the weighted...

... DMUs locally. Findings First, the authors found that some factors have multiple levels of targets to improve its efficiency in real world practice. Second, the proposed technique is able to deal with the multiple-levels-targets problems in data envelopment analysis (DEA) framework. Third...

... target and improve environmental performance. Design/methodology/approach In such background, the authors use a within-group common benchmarking model with data envelopment analysis for China’s environmental evaluation and target setting in this paper. This model considers a common treatment...

...Hadi Shirouyehzad; Farimah Mokhatab Rafiee; Negin Berjis Purpose The purpose of this paper is to propose a method for performance assessment of organizations based on integrated approach of knowledge management and safety management using data envelopment analysis, and the proposed model...