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To use the quick and easy method, it is essential that the necessary data are easily accessible.
It is a simply and easy way to describe current manufacturing data and physical material flow [5].
The AVSM requires a few additional data compared to the VSM but gives a much more detailed picture on the current situtation of an manufacturing situation.
Since up to 90% of the time and costs for industrial manufacturing process is not productive (because the customer does not pay for it [5]), it is assumed that the reduction of 40% is a achievable limit [1].
Starting from AVSM we introduce the data directly into the PCT and we can display curves of the evolution of manufacturing cost and time.

Hence, a reduction of active weight is achieved.
Table 1 presents data of the designed motor.
Table 1: Data of the wheelchair motor Quantity Value Quantity Value rated power [W] 300 efficiency [%] 92 rated voltage [Vrms] 12 number of stator poles 9 rated speed [rpm] 150 number of rotor poles 12 outer machine diameter [mm] 160 number of coils per phase 3 total machine width [mm] 70 number of turns per coil 86 maximum torque [Nm] 80 number of winding layers 2 The motor has a rated power of 300 W and a rated speed of 150 rpm.
Table 4 presents data for the torque motor at load simulation.
Figure 9: The torque waveform at load simulation Table 4: Data of the torque motor Quantity Value Mean airgap torque (by flux linkage and current) [N.m] 9.047 Mean airgap torque (by Maxwell stress tensor) [N.m] 9.0 Torque reduction due to iron losses [N.m] 0.1868 Torque ripple [%] 11.62 Construction of Synchronous Motor with Permanent Magnets an External Rotor This section describes the construction of prototype with outer rotor permanent magnet synchronous machine.

Permeation rates were obtained by analyzing the data with Fick’s law of diffusion.
Changes in tail flick latency were determined in comparison to data obtained from the control group [15].
The significance of the effects was used to compare the data with the positive and negative controls between the groups.
The data which were obtained from melatonin were analyzed by using mean difference with p values less than 0.05 considered significant.
Although niosome gel tended to gave slightly increased reduction of ear thicknesses, the differences were not significant (p > 0.05 all).

The reduction in grain size due to the increase of grain density results compressive residual stress.
Incremental stress-strain data was plotted for determining ultimate strength (sult), yield strength (syield), elastic modulus (E) and elongation (e) (Fig. 2).
The 0.2% offset method [8] was used for determining of yield strength and elastic modulus was calculated by 20% segment length of linier stress-strain data from Fig. 2.
Data of DK and da/dN was constructed using double log x-y axes plot and linear curve fitting was used for determining Paris equation at stage II.
(a) Plot data crack length to number of fatigue cycles and (b) plot of da/N with respect to stress intensity factor range (DK) for AISI 1020 steel in different conditions.

The interpretation of such data is then rather complicated.
A more detailed data analysis brings further microstructural information.
The SANS data were fitted using an indirect Fourier transformation method [10] implemented for double crystal data in the program "SASprofit" [11].
A significant impact of HIPing on the porosity reduction is clearly documented by the reduction of the pore volume fractions.
A very significant effect on porosity reduction was observed when applying a post HIP treatment.

Fig.1 Landscape of the pre-and post-restoration in Xiaoliang Station Methods The present study aimed to analyze the dynamic ecological economic value of in the process of vegetation restoration in Xiaoliang, tropical China, based on long-term observation data.
The growth coefficient was to calculate the restoration model by way of statistical data of wood, setting D or D2 as independent variable and the biomass of various organs as dependent variable.
According to measurement data, we can estimate amount of trunk, branch, leaf and total biomass.
Soil conservation results in the reduction of silt in rivers, lakes and reservoirs that accompanies soil erosion.
The data needed for the valuations were obtained either from in situ surveys and field experiments or extracted from the literature.

The mean-flow-stress results obtained from the calculations are in good agreement with the mill data.
The mathematical model used here was derived from data collected from several different hot strip mills and is described in detail in references [3, 6, 8].
Grain size and residual strain values are used as input data to simulate the microstructural changes taking place during hot rolling, in a pass-by-pass analysis similar to those found in references [3, 6, 12] where the complete equation references are given as well.
After the reductions applied in F1 to F3, softening was complete, showing the fast kinetics associated with MDRX.
Hensger for fruitful discussions while working with CSP rolling data.

During the analysis of the diffraction data with Rietveld refinement, the amount of liquid was refined with Gaussian peaks and thus could be quantified.
For the data recording, we used a Perkin Elmer XRD 1621 flat panel detector, and summed 12 pictures for reduction of the background, each with an exposure time of 0.2 s.
Tab. 1: Crystallographic data of the phases.
The diffraction data were analyzed with Rietveld refinement resulting in time resolved information about the phase formation in the middle of the joint region.
Hammersley; FIT2D: a multi-purpose data reduction, analysis and visualization program, J.

This prediction is based on an on-line data acquisition.
Measurements of geometry evolution of similar parts (for example, parts of the same batch) during their manufacturing or during experiments reproducing the machining operation represent a first source of data.
Additional data is required to enrich the basis and is provided by machining simulation performed off-line.
Model reduction techniques are an appealing choice to alleviate that computational cost.
Construction of reduced spatio-temporal bases for on-line identification The Proper Orthogonal Decomposition (POD) allows the extraction of relevant information contained in a large set of data, [1] and [5].

Analysis of test data shows that, addition of organo-clay improved mechanical properties of O-Mica/PP nanocomposites.
As it can be seen, the melting point (Tm) of the nanocomposites showed a reduction as compared to neat PP because increased interactions of clay particles-pp matrix affect chain mobility [14].
This reduction is attributed to poor adhesion between clay particle and matrix as a result of incompatibility when rigid filler is added.
Conversely, the degree of crystallinity decreases with clay content as shown in DSC data.