The purpose of the current research is to provide a performance appraisal system capable of considering the value chain network structure of research and development (R&D) projects for Complex products and systems (CoPS) under uncertainty of data. Therefore, in order to achieve this goal, a network data envelopment analysis (NDEA) approach and the possibilistic programming to provide a new fuzz...

A previous study proposes a model for improving efficiency under the data envelopment analysis structure when inputs and outputs are not allowed to adjust at wish. One problem associated with that model is that numerical difficulty may arise in variable substitution when some variables are zero or very small. To solve this problem, this paper builds a model from a dual point of view. The model ...

Incremental dynamic analysis (IDA) requires the analysis of the non-linear response history of a structure for an ensemble of ground motions, each scaled to multiple levels of intensity and selected to cover the entire range of structural response. Recognizing that IDA of practical structures is computationally demanding, an approximate procedure based on the reduction of the number of ground m...

This article developed an approached model of congestion, based on relaxed combination of inputs, in stochastic data envelopment analysis (SDEA) with chance constrained programming approaches. Classic data envelopment analysis models with deterministic data have been used by many authors to identify congestion and estimate its levels; however, data envelopment analysis with stochastic data were...

Data envelopment analysis (DEA) is an axiomatic, mathematical programming approach to productive efficiency analysis and performance measurement. This paper shows that DEA can be interpreted as a nonparametric least squares regression subject to shape constraints on production frontier and sign constraints on residuals. Thus, DEA can be seen as a nonparametric counter-part of the corrected ordi...

performance evaluation of electricity distribution units is an important issue between researchers and regulators. classic data envelopment analysis models with deterministic data have been used by many authors to measure efficiency of power distribution units in different countries. however, data envelopment analysis with stochastic data are rarely used to measure efficiency of distribution co...

The mathematical programming technique Data Envelopment Analysis is used to test the hypothesis of Averch and Johnson that utility regulation leads to overuse of capital. The regulated firm earns a return s greater than its cost of capital r, an implicit capital subsidy resulting in allocative inefficiency. Technical and Allocative inefficiency are based on Cost and Production Frontiers from 33...

Budget allocation is a common task carried in our daily life. As it seems to be necessary to perform this task in an ideal manner this paper mainly deals with budget allocation problem. The main key feature of this work is that it uses a mathematical programming technique Data Envelopment Analysis (DEA) for formulating a proper model for capital budget allocation. This formulation is based on t...