A technique used to assess relative performance in a multiple input–output framework is data envelopment analysis (DEA). In basic DEA models, an entitymay show its best performanceby selecting input and output factor weights different from those selected by the other entities in thesample. Hence, when usingbasic DEAmodels, divergence of weighting schemesacross the assessedentitiescannot beruled...

In this paper we consider issues that may arise in the I/O workload characterization for Parallel Access Volumes. Limiting the characterization of I/O device service time to the mean and the standard deviation is sufficient to correctly predict the average I/O time in a realistic model of a single-exposure device. Things are less simple, however, when one considers devices with multiple paralle...

The input/output stability of an interconnected system composed of an ordinary differential equation and a damped string equation is studied. Issued from the literature on time-delay systems, an exact stability result is firstly derived using pole locations. Then, based on the Small-Gain theorem and on the Quadratic Separation framework, some robust stability criteria are provided. The latter f...

In the ordinary macro-economic input-output tables, the industrial sector consists of several dozen industries and each industry in a certain sector is an aggregate of many companies in the sector. The sectoral statistics are the sum of statistics of companies in the respective sector. Usually, all sectors have the same set of inputs for producing outputs. For example, they have labour, capital...

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The scope of this paper and the aim of proposed model were to apply monetary Input –Output (I-O) analysis to point out the importance of reusing know-how and other requirements in order to reduce the production costs in a manufacturing process for a laptop computer. I-O approach using the monetary input-output model is employed to demonstrate the impacts of different factors in a manufacturing ...

The SAMO conferences are single-track meetings that promote in-depth technical discussions of issues related to the uncertainty and sensitivity analysis of model predictions. In the context of the SAMO conferences, uncertainty analysis refers to the determination of the uncertainty in model predictions that results from uncertainty in model inputs, and sensitivity analysis refers to the determi...

Advanced statistical techniques are used to analyze Hong Kong output dynamics. Hong Kong, Japan and the U.S. are found to share some common long-term and short-term cyclical variations. While the Hong Kong economy is susceptible to external shocks and Granger-caused by the other two economies, local factors account for a large proportion of output growth variability and are mainly responsible f...

This paper addresses two central problems in simulation methodology: the generation of conjidence intervals for the steady state means of the output sequences and the sequential use of these conjidence intervals to control the run length. The variance of the sample mean of a covariance stationary process is given approximately by p(O)lN, where p( f ) is the spectral density at frequency f and N...

Output factor (Scp) is one of the important factors required to calculate monitor unit (MU), and is divided into two components: phantom scatter factor (Sp) and in-air output ratio (Sc). Generally, Sc for arbitrary fields are calculated using several methods based on Sc determined by the absorbed dose measurement for several square fields. However, there are calculation errors when the treatmen...