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The targets are reduction of the level and value of inventory maintained, high speed in transforming them to orders delivered to customers and flexibility in dealing with demand changes.
Failure in pursuing production lead-time reduction and in the inventory strategy based on customer demands will result in competitive disadvantages leading to high cost and lost market share.
The targets to be attained are reduction of the level and value of inventory maintained, agility in transforming them to orders delivered to customers and flexibility in dealing with demand changes.
The most prevalent technology used is electronic data interchange (EDI) via intranet or other value-added networks.
The supplier then uses the inventory data to put together an anticipated order for them.

As the rolling reduction grows, shear bands proliferate significantly and pass through more lamellas of Cu and Ag phases.
Variation in hardness of transverse and longitudinal sections corresponding to rolling reductions is shown in Fig. 4.
As rolling reduction increases, the difference grows larger, suggesting larger anisotropy.
It is worth to note that, for both sections, good consistency is revealed between the experimental data and fitted curves based on equation (1) and (2), demonstrating that Cu/Ag interface strengthening dominates in strain stage of this research, namely 80 % ~ 99 %.
However, some deviations exist between the experimental data and fitted curves when layer spacing surpasses about 150nm, which manifests that the reinforcing effect induced by variation of dislocation density, precipitates, twins, grain boundaries and sub-boundaries in microstructure refinement process is also prominent in contrast with Cu/Ag interface strengthening when rolling strain is lower than 96.5 %.

Cathode Reduction Reaction.
Table. 3 lists some of experimental data including mean of initial surface roughness (MISR), standard deviation of initial surface roughness (SDISR), mean of finished surface roughness (MFSR), and standard deviation of finished surface roughness (SDFSR).
Data of experiments No.
Fig. 6 shows mechanism of the catalytic reduction of nitrate on the cathode [14].
Cathode covered by products of catalytic reduction and metal nitrates hydrates.

Moreover, it has been proved that slight changes in the hysteresis loop parameters, as a function of the number of stress cycles, have a significant influence on the obtained material data used when calculating the life.
The section for testing was taken out from a pipeline running from the live steam collector to reduction and cooling station.
The grain boundary areas depleting of precipitates causes reduction of their strength, and is the decisive factor responsible for the slowly developing decrease in the strength properties during service.
The above is stated in the literature [10] where the presence of precipitate free zones in metallic alloys is not only said to cause the decrease in the yield strength value or tensile strength, but it is also claimed to result in a reduction of creep strength.
Moreover, it has been proved that slight changes in the parameters of hysteresis loops, as a function of the number of stress cycles, have a significant influence on the obtained material data used during the calculation of life.

Furthermore, the UV-Vis analysis data shows the typical absorption of GO at 232 nm and 301 nm, while at 266 nm and 278 nm, it belongs to graphite and rGO.
However, the GO reduction process requires chemicals such as hydrazine hydrate which are harmful to humans and the environment, thus an approach with the green synthesis method is urgently needed [7].
The AV extract contains various bioactive compounds, including phenolic and flavonoids, which can participate in the reduction reaction [14].
Moreover, the oxygen functional groups contained in GO have a significant reduction as indicated by a decrease in the interlayer spacing of rGO from 9.76 Å to 3.72 Å [19].
Summary In this study, rGO sheets were successfully synthesized by the green-reduction method.

A time dependent corrosion model has been developed for failure prediction purposes, based on the historical data of plate thickness reduction.
In addition to TSCF, Wang et al., 2003, also presented corrosion data in a more recent version, this is data collected from 140 single hull tankers with a total number of 110,082 thickness measurements, vessel age range of up to 32 years and this data was collected from the period 1992- 2000 [13].
The last parameter is derived by considering the corrosion wastage data available in each of the hull structures' locations.
The Chi Square method was used to conduct a goodness of fit test in order to gather accurate data in this investigation.
Decision-makers and inspection planners are given the risk rating data in easy forms to assist them in prioritizing inspection activities.

Examples of experiments show this method is useful and some merits are achieved, such as reduction of hardware complexity, saved memory largely and achieved real-time data transmission.
All these methods aim at decrease the amount of data.
Original signals would be reconstructed via the data of multi-channel after down sampling.
Generally, , it can reduce 10 times the amount of data.
Memory largely saved due to data compressed and relatively low transmission requirement especially real-time data.

All monitored parameter data is scored in the datacenter of steam turbine cloud platform.
User can get all relative data based on the unique RFID tag of steam turbine.
Data collection module can get useful information by condition monitor.
Many sophisticated sensors and computerized components of condition monitor system are capable of delivering data about the machine’s status and performance.
Fig.4 Turbine fault service WSDL document The monitoring data were got from the steam turbine sensor and monitoring program.

Stone-Gross et al. studied a new HTTP botnet Torpig and gave the relevant tracking data [9].Torpig has some new technology, which make it more difficult to prevent and reverse tracking.
Therefore, this article attempts to use data mining techniques and clustering techniques find behavioral similarities of the static characteristics and dynamic characteristic.
Secondly, we analyze the host behavioral characteristics of abnormal status, and reduce data space by dimension reduction technology for reducing the demand on system resources and improving the detection rate.
We obtain and analyze the data of the communication network to discover patterns in communication.
Internet Lan Router Bot Bot Data detection Fig 2.

Reduction of forces cause the tools to be more strong, but this reduction of expense in comparing with expenses for buying coolant, making ready, washing pieces and cleaning machinery cannot be exploited and dry machining is better.
The reduction temperature which is made on tool is 2.5 percent.
This reduction of force and also temperature, in machining 5083 has less effect on strength of the tool that if we compare with the expenses for making ready the coolant, cleaning the machinery and machined pieces would be less than the other.
Table 2: Cutting test data Simulation Result Experimental Result T(℉) Error T(℉) Wet T(℉) Dry Fc(N) Error Fc(N) Wet Fc(N) Dry Fc(N) Error Fc(N) Wet Fc (N) Dry v (m/min) t1 (mm) t0 (mm) -1 % 297 300 +8 % 54 50 -13% 52 60 25 0.40 0.044 1 -1.6 % 299 304 -8.4 % 55 60 -12% 58 66 50 0.25 0.044 2 +2 % 417 409 +3.6 % 85 82 -8% 83 90 26 0.33 0.094 3 -6 % 457 484 -5.6 % 85 90 -14% 79 92 52 0.38 0.094 4 -2.7 % 390 401 -20 % 80 100 -11% 104 117 24 0.43 0.141 5 -2 % 429 438 +3.1 % 98 95 -17% 108 131 48 0.60 0.141 6 -5.5 % 448 474 -8 % 140 152 -17% 121 147 24 0.64 0.188 7 +0.6% 513 511 -7.5 % 148 160 -5% 144 153 47 0.68 0.188 8 -3 % 474 489 +4.7 % 220 210 2% 193 189 25 0.52 0.282 9 -3.5 % 533 552 -4.3 % 220 230 11% 205 185 49 0.75 0.282 10 -2.3 % 504 516 0 % 300 300 56% 248 158 22 0.27 0.380 11 -5.2 % 543 573 +1.6 % 305 300 54% 290 188 45 0.90 0.380 12 There are many applications where cutting is carried out dry, in air, with no advantage being found in the use of a cutting fluid.
Comparison of experimental data in dry and coolant machining References [1] E.O.