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A survey method was followed to collect data using a single respondent design.
Despite different concepts and mix results regarding the performance implication of manufacturing flexibility, this study puts forward the following working hypotheses: H1: Manufacturing flexibility is positively associated with the operational performance of manufacturing SMEs H2: Dimensions in manufacturing flexibility are positively associated with dimensions in the operational performance of manufacturing SMEs Methodology This study followed a survey method to collect data pertaining to the phenomena of manufacturing flexibility and operational performance in Indonesian manufacturing SMEs and applied a single respondent design.
The results of the MRA (presented in Fig. 2) confirmed that machine flexibility (p<0.01), product flexibility (p<0.01), and labor flexibility (p<0.01) are positively and significantly related to manufacturing cost reduction.
In particular, machine flexibility (β = 0.339) was found to have a greater impact on the manufacturing cost reduction, followed by product flexibility and labor flexibility.

The principal component analysis can ensure the smallest loss of the original data, to replace the multi-variables with a few synthetic variables, to simplify the data structure, and objectively determine the weights.
Read n sample data and analyze their principal components.
Take the average value of the top A sample data in Dαk sorting as the benchmark data of the first class, and denote the principal component as M1.
Take the average value of the top A sample data in Dαk sorting as the benchmark data of the first class, and denote the principal component as N1.
Yang Xiaotao to provide the valuable statistical data.

As a result of the presence of noise in the measured vibration signal has a great influence on the results of calculation of fractal dimension, Therefore the empirical mode decomposition method for noise reduction of gear vibration signal is used, calculation fractal dimension, extraction fault feature of Gear in different conditions.
The decomposition step of signal as follows: 1) Determine the local extreme point of all the signal, then use the three spline curve method to connect all local maxima and form upper envelope; 2) then use the three spline curve method to connect all local maxima and form lower envelope, the upper envelope and lower envelope should envelope all data points; 3)the upper envelope and lower envelope is signed m1(t), The original signal x(t) minus m1(t) is the first component h1(t): (1) 4)If h1(t) don’t fulfill these necessities, Then take h1(t) as the original data, Repeat steps 1)~3), Get the average m11(t), Judge whether the component h11(t)=h1(t)－m11(t) meet the conditions of IMF.
If it doesn’t fulfill, then cycle K times. 5)Let separated from (2) Take as the original data, repeat steps 1)~4),get the second component to satisfy the IMF condition, repeat n times, obtained some satisfying IMF condition component of the signal.

Two low carbon steels alloyed with 0.48wt% and 0.78wt% Cr were warm rolled to 65% reduction at 640°C.
After reheating for 30min at 1050°C, all the samples were warm rolled at 640°C (average strain rates of 30s -1) to reductions of 65% in a single pass on the EMR-CANMET pilot mill in Ottawa, Ontario.
Post-processing of the raw data was undertaken using HKL-Channel 5 software.
Raw data in the form of incomplete pole figures (PFs) (χ = 0° - 80°) from the (110), (200), and (211) crystallographic planes were used to calculate the orientation distribution functions (ODFs).

The mechanical data found are in good agreement with the porosity results, that is, as the porosity values increased, the mechanical resistance gradually decreased.
Geometric (apparent) density, real and porosity data for eight types of geopolymeric mortars studied.
· The mechanical results found revealed a systematic reduction of the values of maximum resistance to average uniaxial compression, with the reduction of the molar concentration of the hardening solution, used during the geopolymerization process

The data of Palladium powder and place at different cyanide concentrations, different temperature and different oxygen pressure are obtained.
A pure metal palladium place rotating disk with a 2cm diameter and high 0.4mm was used to obtain dissolution rate data.
Dissolution involves an electrochemical process in which the anodic reaction is Palladium oxidation while the cathodic reaction is oxygen reduction.
Fig.7 Effect of PO2 on percent on ratio of Pd cyanide Fig.8 Effect of PO2 on percent on ratio of Pt cyanide dissolution(NaCN 12.5 g/L,140 °C, 3 h) dissolution(NaCN 12.5 g/L,140 °C, 3 h) Conclusions For a further understanding of the behaviour of PGMs in the pressure cyanide leaching process, some new explanations are proposed in the present paper. (1)The cyanide leaching rate of Palladium powder > Palladium place appears to be related to the metal size. (2)The rate for the dissolution of Palladium in cyanide solution is with respect to O2 pressure. (3)The dissolution mechanism involves an electrochemical process in which the anodic reaction is palladium oxidation while the cathodic reaction is oxygen reduction and bonding mechanism of cyanide and oxygen adsorbed on Palladium metal. (4)The dissolution behavior of Palladium as a function of cyanide and oxygen concentration.

Results show the simulated welding sequence no. 4 has a considerable amount of reduction in distortion of 1.526 mm compared to that of other sequences.
The finite element results are compared with experimental data and has been concluded that welding sequence can reduce the amount of welding distortion.
Finite element analysis To carry out finite element analysis, firstly a non-linear thermal analysis is completed to get temperature data of the model.
From the tables, we can see that there is a significant reduction in distortion and the distortion at every circumferential weld is well within the allowable limit of +/- 5mm.
Welding of wind turbine tower shells without any sequences causes more distortion as observed in the case of SEQ 0, but there has been a significant reduction in welding distortion when welded by following the welding sequences of SEQ 2 and SEQ 4 as stated in Table 5.

Research contents Firstly, through consulting data and sampling methods, we determine the amount of fresh water of offshore drilling platform on one day, and the minimum water production capacity should be determined; and determine the structural frame work platform sea area near the stable system and weather related natural factors (example: wind speed, wave height, wave cycle).The related natural factors in each season the working platform nearby the offshore drilling platform should be determined.
Secondly, according to the analysis of survey results and data, we calculate the dilution tank capacity and the minimum pressure to bear; designing shape of floater , the determination of its size, the reasonable selection of materials, rational design of the wave shape, determine the size, screening materials; reasonable arrangements for the design of negative pressure fresh water conversion device installation.
Fourthly, we calculate the minimum driving force, the average working distance of float and power of the pump by the data Fifthly, we considering the various data, then testing weather design of the device is very reasonable through the reasonable calculation; And according to the minimum driving force and float force, we calculate parameters of intermediate transmission mechanism, the design efficient transmission device; by considering the proper placement of solar energy device.
Through the water thermodynamic relation, under low pressure, then saturation temperature is low , and corrosion rate is slow, In its background of advocating energy-saving emission reduction policies , the device have a profound effect.

The well dispersion of graphene in aluminum matrix could facilitate the electron transport and to induce the pore reduction throughout the matrix.
The well dispersion of graphene in aluminum matrix could facilitate the electron transport and to induce the pore reduction throughout the matrix.
Data 13 (1984) 1131-1172.

The reduction of porosity and thus dense process results from the change of the free energy in the ceramic system, which is altered by the disappearing of the interface between solid and pore.
The data of linear shrinkage at 1300°C and 1350°C are obtained through measuring the diameters of the samples before and after sintering.
These data conform to the following rules [5]: ∆L / L = k tn. (2) where n is a shrinkage exponent and k is a physical constant.
Then the data are applied to fit with the equation of porosity as, p - p0 = k ln (t / t0). (4) resulting in the values of k = -0.048 at 1300°C and k=-0.016 at 1350°C as displayed in Fig. 4.
The deviation of data might be due to that there is a fluctuation of about 20°C between practical temperature and displaying one in a furnace during sintering.