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The work was started with the data collection of production and rejection report of the industry.
Current State Mapping: The production and rejection rate data was collected for three months of a particular component.
From the observed data it was found that, the product consists of around 15% as the total rejection for three months as given in Table 1.
Based on the location analysis the data was collected to know about the number of defects for eight days and given in Table 3.
Balakannan et al., Selection and evaluation of supplier by decision model of hybrid data envelopment analysis, Int.

The wear phenomena were evaluated in terms of pin area reduction.
Hardness is calculated from the load vs. displacement data obtained by nanoindentation (nanoindenter MTS mod.
In figures 9 and 10 the values of the inclination angle of the pin walls and area reduction are reported.
For the uncoated pin tools, two different stages can be observed: at the beginning the area reduction increases but the variation is small; in the second stage an increase of wear is noticed; in fact its value reaches the pin area reduction of the AlSiTiN tool.
Area reduction % 0 5 10 15 20 25 30 35 40 0 10 20 30 40 n. processing lines reduction % AlSiCrN hardned C40 AlSiTiN Fig. 10 Reduction of area of the tool pin.

We apply data envelopment analysis (DEA) to assess the technical, pure technical and scale efficiencies of UPBTS and UPRTS over years.
In the BCC model, the frontier is spanned by the convex hull of the units in the data set.
To address some of the concerns regarding data comparability, this paper uses a comprehensive data set containing urban bus and rail transit systems in Shanghai.
This type of data set facilitates the examination of both the cross sectional and the temporal properties of the transit systems.
Zhu (Eds.): Handbook on data envelopment analysis (Springer Science+ Business Media 2011)

During the forming process, data regarding strokes and forces are detected by distance and force measurement sensors for each axis.
The geometry of the rolls as well as their rolling direction and path and the pass reduction are shown in Table 1.
The pass reduction Δt is defined as the sheet thickness reduction in the rolling zone.
Considering the machine deflection, the real pass reduction is lower than the ideal one set by the process parameters.
The pass reduction in stroke 1 is ∆{TTP}8710 t = 0.70 mm, the highest one possible without surface fracture.

A classifier is built from training data, for which classifications are known.
The classifier assigns new test data to one of the categorical levels of the response.
This exploratory data analysis technique attempts to identify structure within the data.If there are distinct data groupings, e.g. the clases examined on the compressor rig, then a Fourier profile plot may highlight differences and so assist in distinguishing between groups (classes).
Conclusions Investigation of variable interdependencies though data clustering techniques provides a robust method for exploratory variable analysis and so facilitates reduction in the number used in establishing classifiers.
Dunn'Applied Multivariate Data Analysis’, 2nd Edition.

The obtained results of the model are in a very good agreement with the experimental data.
In the third part, analytical solution for applied pressure is determined by using presented friction model and is compared with available experimental data.
In addition, parameter as the friction coefficient is defined and determined by very noisy experimental data.
A Comparison between the results of the present model and the experimental data [2] for the same conditions is shown in Fig. 4.
Also, the presented model is more general, needs less experimental data and its results in comparison with experimental results shows good agreement.

To initiate the reduction of Ag ions, the pH was adjusted to 6.5 using NaOH.
The results are in strong agreement with the UV-Vis spectroscopic data discussed in the next section.
Reduction of Ag ions takes place on addition of NaOH.
It is also possible that sucrose and protein/enzyme play a role in the reduction.
However the ingredient responsible for the reduction of the ions needs further study..

This algorithm reallocates data with respect to changing data access pattern for each fragment in which data is maintained in current site, migrated or created new replicas on remote sites depend on accessing frequency and average response time.
Thus, in a well-designed distributed database 90% of the data should be found at the local site, and only 10% of the data should be accessed on a remote site [1].
In dynamic data allocation strategy, data fragments are reallocated according to the changing data access patterns.
In this data allocation and replication policy, we assume the existence of one primary copy for each replica in the network. n data fragments are considered n master replicas.
Thus, the data placement problem is solved as follows.

The numerical predictions have been validated through comparison to the available experimental data.
This is thought to be due to the reduction in creep ductility and also hardening effects in the PC material [5].
In this figure the estimated trends are shown in dashed lines whereas the mean fit to the data at the upper shelf region is shown as a straight line.
Note that only the valid data points (see [7]) are shown in Figure 3.
Figure 3: Comparison of the predicted CCG trends to the experimental data for (a) PS and (b) PE conditions The numerical predictions presented in Figure 3(a) and (b) show that under both PS and PE conditions, the CCG results from the low load test on PC material (PC6) are consistent with those of obtained from the low load simulation on AR material (AR6) and the predicted data points fall close to or within the long term experimental data band for the AR material.

Introduction The circular economy is the pattern of economic growth, characterized by waste reduction re-use, and reclamation in material cycle, and regarding improving resource productivity by a large margin as a means, and taking achieving a paperless economic growth as a goal[1].
While the others are negative indexes, the smaller the better. the original data from Ningbo Statistical Yearbook is dimensionless treated according to the range normalization method.
(2)Resources-reduction subsystem in the evaluation results appears a wavy upward, the maximum(1.00) and the minimum value (0.18) respectively in 2011 and 2001, But there was a slight fluctuations in 2004 and 2007.
The change concerned greatly with the "reduction, re-use, resource-based" principle adhered to by Ningbo, the encouragement to use information technology and ecological technology, the efforts to reduce resource consumption and waste emissions, improved the efficiency of resource use.
The sites strengthen the industrial chain matching, urge symbiotic relationship among the enterprises, realize the transfer between material and energy gradually, and recycle of resources use and pollutant emission reduction