data envelopment analysis (dea) is a method to measure relative efficiency of a set of decision-making units (dmus) which uses multiple inputs and produces multiple outputs. in the conventional dea, crisp inputs and outputs are fundamentally necessary. but the observed values of inputs and outputs in real-world problems are sometimes imprecise. thus, performance measurement often needs to be do...

Abstract In this study, variable returns to scale (VRS) data envelopment analysis was integrated into the Taguchi approach optimize ternary additives for expansive soil enhancement. The selected were sawdust ash (SDA), quarry dust (QD) and ordinary Portland cement (OPC). set as input variables while multiple responses obtained from experiments performed with orthogonal array output variables. E...

Recently, a mixed integer data envelopment analysis (DEA) model has been proposed to find the most BCC-efficient (or the best) decision making unit (DMU) by Toloo (2012). This paper shows that the model may be infeasible in some cases, and when the model is feasible, it may fail to identify the most efficient DMU, correctly. We develop an improved model to find the most BCC-efficient DMU that r...

In order to set up a framework dedicated to the transformation of Digital Mock-Ups (DMUs) into simulation models, this paper exposes the problematic of simulation assembly model preparation. It analyses the differences between standalone component and assembly preparations to justify the reasons of time consuming tasks specific to assemblies. To this end, the content of a DMU is analyzed to exp...

Keywords: Data envelopment analysis (DEA) Common weights analysis (CWA) Ranking The ideal line The special line a b s t r a c t Conventional data envelopment analysis (DEA) assists decision makers in distinguishing between efficient and inefficient decision making units (DMUs) in a homogeneous group. However, DEA does not provide more information about the efficient DMUs. In this research, the ...