Purpose Seaports are a signifier for the world economy and international trade. Notwithstanding considerable role of Chinese ports in global trade, only few studies have explored efficiency container terminals. Furthermore, on port has typically centered port-level analysis, not terminal level. Therefore, this study aims to examine operation Design/methodology/approach This uses super-efficienc...

Fast and resource-efficient inference in artificial neural networks (ANNs) is of utmost importance drives many new developments the area hardware architectures, e.g., by means systolic arrays or algorithmic optimization such as pruning. In this paper, we present a novel method for lowering computation effort ANN utilizing ideas from information theory. Weight matrices are sliced into submatrice...

Data Envelopment Analysis (DEA) is an eciency measurement tool for evaluation of similar Decision Making Units (DMUs). In DEA, weights are assigned to inputs and outputs and the absolute eciency score is obtained by the ratio of weighted sum of outputs to weighted sum of inputs. In traditional DEA models, this measure is also equivalent with relative eciency score which evaluates DMUs in compar...

Health sector reforms are always linked to financial restraints. The relative low spending on healthcare by the majority of developing countries makes it even more crucial to plan the deployment of health services optimally. Many countries in the world have taken recourse to analyzing efficiency of the decision making units (DMU) in terms of inputs and outputs. A study from Ghana using this app...

We propose two-dimensional representations for the efficient frontier two different Network DEA (NDEA) models. Both follow a previous study that developed generalization of representation method classic using new form linearization. The graphical allows managers and decision-makers unfamiliar with linear programming to understand results obtained simply clearly. In this study, we can obtain gra...

Data Envelopment Analysis (DEA) is a technique that uses all collected observations to measure performance. This method presents no data about how to operate on DMU. The present research attempted to study a unit with all its subunits, if the unit is efficient, it means that all its subunits are efficient too and if it is an inefficient, it shows clearly that which one of the subunits makes ine...

The importance of supplier selection is nowadays highlighted more than ever as companies have realized that efficient supplier selection can significantly improve the performance of their supply chain. In this paper, an integrated model that applies Data Envelopment Analysis (DEA) and Support Vector Machine (SVM) is developed to select efficient suppliers based on their predicted efficiency sco...

One of the weak points of DEA (Data Envelopment Analysis) models indicated in literature [1,2] is their sensitivity to variable measurement errors. The occurrence of data interference, which is the basis of the productivity analysis, may distort the classification of the units and may cause misjudgement of their effectiveness. In the article the results of simulation concerning the DEA models s...