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Measurement Indicators Base on the lean concept of waste reduction, cost reduction and continuous improvement, evaluation and measurement indicators are total throughput, cycle time and difference of percent utilization 3.2.1 Define Parameters i : Process identification number.
The manpower in job shop layout is single-function operators, but in cellular layout are multi-skill operators. 4.3 Data Analysis Apply the total throughput, cycle time and the difference of percent utilization of resources as the evaluation indicators.
Analysis the data that collected from Simprocess simulations after repeating 30 times, for the job shop and cellular layout. 4.3.1 Total Throughput Calculate the total throughput of each process after simulation, the result shown as Table 1.

Introduction Nowadays, weight reduction of automotive parts is an issue of prime concern.
Thus, this material offers an efficient alternative for the weight reduction of numerous manufactured components such as pinion gears or camshafts.
Figure 7: Experimental data and linear fits for the parameters σp and σs.
ε=1s-1 ε=5s-1 Figure 8: Comparison between identified models and experimental data.

Fig. 2 shows Arrhenius plots of fitted jump frequencies for the five samples in each series, with data for In3(La1-xPrx) and (In1-xSnx)3La on left and right, respectively.
For each system, values of a were adjusted to give the best overall simulation of data shown in Fig. 2.
Thus, there is a large reduction in jump frequency when Sn starts to substitute for In in In3La, but essentially no change when In substitutes for Sn in Sn3La.
Since Sn3La has only a slightly larger lattice parameter than In3La, 0.477 vs. 0.473 nm, the strong reduction in jump rates does not appear to be caused by an oversized Sn impurity.

Therefore, a systematic study must be conducted as soon as possible to solve the problems of wetland reduction and fragmentation as well as vegetation reduction and disappearance, especially in Tianjin Binhai New Area Wetlands.
Data collection and analysis All data were processed and analyzed by SPSS and Excel software.

Experimental data was obtained using FESEM (Field Emission Scanning Electron Microscopy), EDX (Energy Dispersive X-Ray Spectroscopy), ATR-FTIR (Attenuated Total Reflectance – Fourier Transform Infrared Spectroscopy) and TGA (Thermogravimetric Analysis). 2.
Field emission scanning electron microscopy (FESEM) and energy dispersive X-ray (EDX) Analysis The data were obtained using an ultra–high–resolution Field Emission Scanning Electron Microscopy (FESEM), NOVA 200 Nano SEM, FEI Company.
By comparing the 6h and 15h spectra, it is possible to conclude that a remarkable DMMP band reduction was achieved, overall – the 1454, 1238 and 1184 cm-1 bands have almost disappeared, while the intensity of the rest of the bands has been greatly reduced.
The results showed a significant reduction in DMMP related peaks’ intensity – even the total disappearance of some – which indicates that DMMP was being successfully degraded.

The use of variant No. 9 was provided a reduction of permeability coefficient to 0.04-0.05 for the thread-adhesive joint (before aqua-washing).
According to the data obtained previously, an increase in the amount of acrylic acid nitrile in the copolymer contributes to an increase in hardness.
Analysis of obtained data showed that gluing of thread compounds of articles reduces permeability of fluff packages elements.
It is noted that the use of the ASFM for gluing of thread sutures provides a reduction of Cper by 6-8 times compared to the existing technology of products preparation, which does not imply prevention of permeability to fluff.

On the second day, there tends to be an increase in mass in the sample that has a low compacting pressure, but there is a reduction in mass at a relatively high compacting pressure.
A very significant mass reduction occurs in samples that have the lowest compacting pressure, this is because the sample has a low bond between particles.
Fig.4a is the SEM data from the highest degradation rate samples (250 MPa compaction pressure and 350℃ sintering temperature) and Fig. 4b is the SEM data from the lowest degradation rate samples (350 MPa compaction pressure and 400℃ sintering temperature).

Introduction Weight reduction can improve the performance of automobiles and can directly reduce energy consumption, which is beneficial to fuel economy improvement and environmental friendliness[1].
Symbols are experimentally measured data; dashed lines were obtained by the second-order polynomial fitting algorithm.
The flow stress-strain relationships of AA6082 under HFQ® conditions were obtained from tensile test data and the representative curves are shown in Fig. 7.
The viscoplastic response of the material results in increasing strain rate, in the range 0.1-4/s, leading to an appreciable increase of the flow stress level and strain hardening; increasing temperature, in the range 350-535°C, leading to a significant reduction in the flow stress level and strain hardening.

Pseudo-code GA-BVSI for compensator placement Inputs: Distribution system data; The objective function Number of generations (n) Constraint limits Outputs: Best population; 1 Run the BIBC load flow; 2 Identify candidate buses for capacitor placement using BVSI; 3 Randomly generate the initial population from the group of BVSI buses identified; 4 i←0 5 While iNetwork losses fell from 224.8949 kW in the initial case to 146.5 kW after compensation, a reduction of 34.85%.
Results for optimal placement of capacitors on a 69-bus system Items Un-compensated Compensated Fuzzy-GA [11] DE-LSF [12] PSO- LSF[13] DE-PLI [12] GA-BVSI Total losses (kW) 224.8949 156.62 151.3763 152.48 146.13 146.5 Loss reduction (%) - 30.4 32.7 32.2 35.02 34.85 Minimum voltage 0.9092 0.9369 0.9311 - 0.9327 0.9306 Maximum Current (A): 386.2727 - -
Ethical Approval (not applicable) Availability of Data and Materials The simulations were carried out with Matlab R2021a.

The location and other required data were input in the program (Figure 3) to determine tsunami flow parameters for the prototype building.
Springer, Cham. https://doi.org/10.1007/978-3-031-16277-0_7 [3] Okutan, P. and Otay, E.: Protecting Coastal Communities from Sea Level Rise and Extreme Weather Events: An Analysis of Adaptation and Risk Reduction Measures, EGU General Assembly 2023, Vienna, Austria, 24–28 Apr 2023, EGU23-11548, https://doi.org/10.5194/egusphere-egu23-11548, 2023
International Journal of Disaster Risk Reduction, 5, 84-97. https://doi.org/10.1016/j.ijdrr.2013.07.002 [8] Ramos Santibáñez, Leonel. (2016).
Structure of the Makran subduction zone from wide-angle and reflection seismic data.