This study proposes a non-parametric efficiency frontier analysis method based on artificial neural network (ANN) and genetic algorithm clustering ensemble (GACE) for measuring efficiency as a complementary tool for the common techniques of the efficiency studies in the previous studies. The proposed ANN GA algorithm is able to find a stochastic frontier based on a set of input–output observati...

data envelopment analysis (dea) is a non-parametric technique for evaluation of relative efficiency of decision making units described by multiple inputs and outputs. it is based on solving linear programming problems. since 1978 when basic dea model was introduced many its modifications were formulated. among them are two or multi-stage models with serial or parallel structure often called net...

The production possibility set (PPS) is defined as the set of all inputs and outputs of a system in which inputs can produce outputs. In data envelopment analysis (DEA), identification of the strong defining hyperplanes of the empirical production possibility set (PPS) is important, because they can be used for determining rates of change of outputs with change in inputs. Also, efficient hyperp...

The changing economic conditions have challenged many organizations to search for more efficient and effective ways to manage their supply chain. During recent years supplier selection decisions have received considerable attention in the supply chain management (SCM) literature. There are four major decisions that are related to the supplier selection process: what product or services to order...

Abstract: Performance measurement has received significant interest during the present industrial scenario. Researchers are emphasizing the development of newer exotic cutting edge tools and more effective methods that can be applied to solve organisational problems. Data Envelopment Analysis (DEA) model measure the efficiencies of a set of homogenous systems or decision making units (DMUs) by ...

This paper proposes a novel approach to determine an optimal location and sizing of shunt capacitors for reactive power compensation in distribution systems with distributed generation. Here, the installing is determined using loss sensitivity factor approach. The stochastic nature generation (i.e., wind solar PV powers) has been considered this paper. Optimal by considering minimization as obj...

In this paper we investigate the determinants of local governments’ technical efficiency in road maintenance for a panel of German counties using a broad variety of estimation approaches. More specifically, we calculate efficiency indices using non-parametric (DEA) and parametric (stochastic frontier analysis) reference technologies, and examine how these efficiency indices can be explained by ...

Data Envelopment Analysis (DEA) is a non-parametric technique which is based on mathematical programming for evaluating the efficiency of a set of Decision Making Units (DMUs). Throughout applications, managers encounter with stochastic data and the necessity of having a method that is able to evaluate efficiency and rank efficient units has been under consideration. In this paper considering t...

In the evaluation of non-efficient units by Data Envelopment Analysis (DEA) referenced Decision Making Units (DMU’s) have an important role. Unfortunately DMU’s with extra ordinary output can lead to a monopoly in a reference set, the fact called abnormality due to the outliers' data. In this paper, we introduce a DEA model for evaluating DMU’s under this circumstance. The layer model can resul...