data envelopment analysis (dea) measures the relative efficiency of decision making units (dmus) with multiple inputs and multiple outputs. dea-based malmquist productivity index measures the productivity change over time. we propose a dynamic dea model involving network structure in each period within the framework a dea. we have previously published the network dea (ndea) and the dynamic dea ...

This study aims at quantifying the influence on the traversability of road network of road network caused by building collapse in earthquake. To this end, an analysis method on post-earthquake traversability of road network considering building collapse is proposed. First, the time-history analysis of seismic response based on the multi-degree of freedom (MDOF) model is performed for regional b...

With the increase in environmental awareness, competitions and government policies, implementation of green supply chain management activities to sustain production and conserve resources is becoming more necessary for different organizations. However, it is difficult to successfully implement green supply chain (GSC) activities because of the risks involved. These risks alongside their resourc...

The paper deals with Data Envelopment Analysis (DEA) and Artificial Neural Network (ANN). We believe that solving for the DEA efficiency measure, simultaneously with neural network model, provides a promising rich approach to optimal solution. In this paper, a new neural network model is used to estimate the inefficiency of DMUs in large datasets.

In this paper, the outage performance of wireless networks with unstructured topologies is investigated. The network reliability perspective graph theory used to obtain polynomial generalized for both uncorrelated and correlated channels. A relationship established between max-flow min-cut theo...