In this study, the data envelopment analysis (DEA), three-stage DEA (3SDEA) and artificial neural network (ANN) are employed to measure the technical efficiency of 29 semi-conductor firms in Taiwan. Estimated results show that there are significant differences in efficiency scores among DEA, 3SDEA and ANN analysis. The advanced setting of the three stages mechanism of DEA does show some changes...

Companies are increasingly seeking to align their actions with the goals of Paris Agreement. Over 1000 such companies have committed science-based targets initiative which seeks corporate carbon reduction global decarbonisation trajectories. These ‘science-based targets’ developed using a common set resources and target-setting methodologies, then independently assessed approved by technical ad...

This paper proposes an alternative data envelopment analysis (DEA) method for assessing the performance of joint maintenance shops (JMSs) in the Taiwanese Army over two 6-month periods in 2000. It further examines the possibility of using DEA over time as a basis for continuous improvement. To help productivity improvements, the DEA results for the first time period were implemented at the five...

Data envelopment analysis (DEA) is a technique used to evaluate the relative efficiency of comparable decision making units (DMUs) with multiple input-output. It computes a scalar measure of efficiency and discriminates between efficient and inefficient DMUs. It can also provide reference units for inefficient DMUs without consideration of the decision makers’ (DMs) preferences. In this paper, ...

Data envelopment analysis (DEA) and multiple objective linear programming (MOLP) are tools that can be used in management control and planning. Whilst these two types of model are similar in structure, DEA is directed to assessing past performances as part of management control function and MOLP to planning future performance targets. Several equivalence models between the output-oriented DEA a...

The carbon embodied in buildings is an important proportion of our emissions and needs to be radically reduced order support climate change mitigation. highest usually emitted during the product stage, within structural elements. Therefore, reducing materials likely have a major impact. In most buildings, majority comes from steel concrete. But although there are now hundreds registered Environ...

We used the sequential stereopsis paradigm and apparatus described by Enright (Vision Research, 36, (1996) 307-312). The observer's task was to set targets to equidistance in Experiments 1-3, and to make them co-planar in Experiment 4. However, it is argued that in all experiments observers exploited a co-planarity setting strategy. Sequential stereopsis produced good performance throughout in ...

Either passive calibration targets are expensive and complex to manufacture or their bistatic RCS levels are significantly lower than the monostatic RCS levels of targets such as spheres, dihedraland trihedral corner reflectors. In this paper the performance of an active calibration target with relative high bistatic RCS values is illustrated as a reference target for bistatic RCS measurements....

Recently, there is an increasing interest in new intelligent mining methods to find more meaningful and compact results. In intelligent data mining research, accessing the quality and usefulness of the results from different mining methods is essential. However, there is no general benchmarking criteria to evaluate whether these new methods are indeed more effective compared to the traditional ...

Introduction: Data envelopment analysis (DEA) is a data-oriented method for measuring and benchmarking the relative efficiency of peer decision making units (DMUs) with multiple inputs and multiple outputs. DEA was initiated in 1978 when Charnes, Cooper and Rhodes (CCR) demonstrated how to change a fractional linear measure of efficiency into a linear programming format. This non-parametric app...