background: nowadays, healthcare systems are considered as important service sectors, and they are social development and welfare standards; hence the performance of this sector is highly important. evaluating performance is the first step of various departments to determine the efficiency of the healthcare system. in the meantime, diagnostic laboratories of hospitals play important roles as sp...

Seeking to “ensure availability and sustainable management of water sanitation for all” is an admirable Sustainable Development Goal honourable commitment the United Nations its Member States regarding human right safe drinking services (WSSs). However, majority countries are not on target achieve this by 2030, with several them moving away from best practices. Brazil one these cases, given, ex...

This article combines two techniques: data envelopment analysis (DEA) and Factor analysis (FA) to data reduction in decision making units (DMU). Data envelopment analysis (DEA), a popular linear programming technique is useful to rate comparatively operational efficiency of decision making units (DMU) based on their deterministic (not necessarily stochastic) input–output data and factor analysi...

Data Envelopment Analysis (DEA) is a nonparametric approach for measuring the relative efficiency of a decision making units consists of multiple inputs and outputs. In all standard DEA models semi positive real valued measures are assumed, while in some real cases inputs and outputs may take complex valued. The question is related to measuring efficiency in such cases. As far as we are aware, ...

In the banking industry, the production process can be described as a two-stage process. There are a number of published data envelopment analysis (DEA) papers that study the bank performance with two-stage model. However, none of them is applied to identify bank failure. In fact, only one of them deals with negative profit data. In the real world, failed banks or firms often produced negative ...