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Operator as well as equipment efficiencies have to be validated and process waste has to be assessed with reliable and precise data on macro and micro levels.
First, it consolidates the current performance data and therefore determines the baseline for efficiency improvement.
Data-driven Approach.
The process is highly based on shop floor data, thus the quality of data input and its detail is of critical importance.
To ensure this quality, experience is required in performing time studies and observations as well as in deriving the data incorporated in the production index.

Introduction CAPP (Computer Aided Process Planning) is a manufacturing process technology that used the computer aided technology to design parts from rough to finished product, is a method that convert the data of design to the data of manufacture.
In CAPP, you can use RS theory, knowledge acquisition and optimization, the use of extracted data reduction rules, and use of these rules, the automatic selection of processing methods.
In the CAPP system, with fewer code bits to a more comprehensive description of part information, the processing data of parts used in this paper was constructed by the mixed encoding system that tree structure combined with chain structure. 20 bits was used to express this encoding.
Outstanding advantages of rough set method are without any human intervention, directly extract rules from sample data to improve knowledge of process design system reliability and objectivity.
Using filing function to make the filing process documents, take process data stored in a database.

Data collecting and processing.
Data saving, displaying and playback.
The history data can be reviewed to facilitate data analysis.
Data real-time display area.
Data synthesis display area.By the end of test, all kinds of test data collected by measurement and control system were displayed by synthesis in data synthesis display area.

It is observed a decreasing of steady state creep in function of the oxidation process reduction.
Antares Software was used to collect the data on the elongation of the samples and the measuring of temperature in pre determined periods of time.
Results from the creep tests are summarized in Table 2, which shows the values of stress (s), primary creep time (tp), secondary creep rate (ε·s), final creep time (tf), final strain (ef) and reduction of area (RA).
Creep data of Argon, Nitrogen and Air atmosphere at 600ºC and 250 MPa.
Occurs a decreasing of steady state creep in function of the reduction of oxidation process, showing that for the Ti-6Al-4V alloy their lifetime is strongly affected by the atmosphere that is submitted because the oxidation suffered by the material.

Data on the commission and the report.
Data on the building construction.
Data on building construction damage.
The structure of data in the data base in given in the paper [6].
The preparation of data was performed by ''Z-score“ normalization, by applying the following expression: (1) where the following are: Sij – normalized data value Xij – actual data value, μi – arithmetic mean of distribution of data set for training σi – standard deviation of distribution of data set for training i – input (i = u1, u2,..., u9) or output (i = i1) data and j – number of combination (j = 1, 2,..., n); n – number of data sets for network training.

a1090864740@qq.com Keywords: graphene , copper , electrical conductivity , hardness Abstract: This paper studies the performance change by adding a certain percentage of graphene and high-temperature reduction graphene to copper powder，which would be sinteringed by  Spark Plasma Sintering (sps)under certain temperature and pressure.
The NO.1 is added with 20mg grapheme while the NO.2 is added with 20mg high-temperature reduction graphene.
Measurement result is shown in figure 4.Data is in table 1.We can calculate that the electrical conductivity of the sample added graphene increased by 4.39% compared with the sample added no graphene.

Silicone nitride powder was produced at own laboratory conditions by carbothermal reduction-nitriding of silica of which was presented elsewhere.
Carbothermal reduction nitriding process is able to produce reasonable silicone nitride powder for subsequent compaction and sintering steps.
In the present work, carbothermal reduction nitriding conversion of a raw material without any sintering additives was studied.
Silicone nitride powder was produced at own laboratory conditions by carbothermal reduction-nitriding of silica of which was presented elsewhere [25-27].
The crystalline phases in the sintered samples were identified using data for inorganic substances diffraction files complied by JCPDS.

It causes also strength reduction of the woods and losses of the load bearing capacity of the structures, and has to be taken into account in the static assessments. 1 INTRODUCTION Many structures resting on pile foundations, which are surrounded by water in the soil for decades or centuries.
In Table 1 and Fig. 8 the key data of the measured penetration depths are given in percent of the cross-sectional weakening.
The resulting reduction of load bearing capacity is only about 20%.
The reduction of the load bearing capacity due to a low circumferential wood destruction by bacterial wood degradation, ranging up to 2 cm deep, is max. 20%.
As determined on the cores the maximum cross-section reduction is 40%.

The BaTiO3-added Ni green bodies were fabricated through cold isostatic pressing, and then sintered to 1300°C in a reduction atmosphere.
One of the various capacitor architectures is the multilayer ceramic capacitors (MLCCs) with Ni base metal electrodes (BMEs), and these have been increasingly produced to meet the exacting requirements for miniaturization, high capacitance, and cost reduction [2,3].
The BaTiO3-added Ni green bodies were fabricated through cold isostatic pressing (CIP) with 200 MPa, and then sintered at 1300°C in a reduction atmosphere.
The shrinkage behavior of the fabricated green bodies according to volume ratio was investigated by checking the amount of shrinkage in length (x direction) and width (y direction) of samples, from 700 to 1300°C with 300°C interval in a reduction atmosphere.
Solid curves are data fits.

Data gathering.
Starting point are highly aggregated data on factory level.
Separate value trees are set up for input (energy, material, manufacturing equipment, and personnel), throughput (machine times, machine states, and order data) and output data (products, emissions), compare [8].
The separate data trees are connected by horizontal calculation rules.
This level requires mainly technical data, e.g. processing and setup times, tool life, and electrical power per machine state.