a r t i c l e i n f o Keywords: Malmquist–Luenberger index Urban water utilities Greenhouse gas emissions Nonparametric productivity measurement The energy use and greenhouse gas emissions in the provision of urban water and sewerage services have become an increasingly important issue in recent times. However, the impact of negative externalities such as greenhouse gas emissions on the product...

this paper presents a data envelopment analysis (dea) model combined with bootstrapping to assess performance of one of the data mining algorithms. we applied a two-step process for performance productivity analysis of insurance branches within a case study. first, using a dea model, the study analyzes the productivity of eighteen decision-making units (dmus). using a malmquist index, dea deter...

Resource allocation and optimal leveling are among the top challenges in project management. This paper presents a DEA-based procedure for determining an optimal level of inputs to produce a fixed level of outputs. To achieve this goal, we assume that the levels of outputs can be forecasted in the next season and the procedure will determine optimal level of inputs for all DMUs. Such as some of...

data envelopment analysis (dea) has been proven as an efficient technique to evaluate the performance of homogeneous decision making units (dmus) where multiple inputs and outputs exist. in the conventional applications of dea, the data are considered as specific numerical values with explicit designation of being an input or output. however, the observed values of the data are sometimes imprec...

data envelopment analysis (dea) is a method for measuring the efficiency of peer decision making units (dmus) with multiple inputs and outputs. the traditional dea treats decision making units under evaluation as black boxes and calculates their efficiencies with first inputs and last outputs. this carries the notion of missing some intermediate measures in the process of changing the inputs to...

this paper proposes an alternative approach for efficiency analysis when a set of dmus uses interval scale variables in the productive process. to test the influence of these variables, we present a general approach of deriving dea models to deal with the variables. we investigate a number of performance measures with unrestricted-in-sign interval and/or interval scale variables.

this paper proposes a suitable benchmark for inefficient commercial bank branches by using data envelopment analysis (dea). in order to render an inefficient bank branch efficient, it is necessary to decrease inputs and increase outputs. as there are priorities for decreasing some certain inputs and increasing some certain outputs over other inputs and outputs, respectively, it is necessary to ...

an experiment was performed to investigate the energy efficiency and effect of poultry house size on energy productivity in 3 different capacity management systems. capacities of houses were 10000(3 housings), 20000 (2 housings) and 28000 (1 housing) birds per production period and were assigned as hi, hii and hiii respectively. this experiment was conducted in a completely randomized design ap...