Determination of an optimal configuration of operating policies for direct-input-output manufacturing systems using the Taguchi method

1996 ◽  
Vol 31 (3-4) ◽  
pp. 555-560 ◽  
Author(s):  
Joom-Mock Um ◽  
Kil-Soo Kim ◽  
Bang-Jim Yam ◽  
Hark Hwang
Keyword(s):  
Taguchi Method ◽  
Manufacturing Systems ◽  
Optimal Configuration ◽  
Input Output ◽  
Operating Policies ◽  
Direct Input

On-the-Fly Substrate Eccentricity Recognition for Robotized Manufacturing Systems

2005 ◽  
Vol 127 (1) ◽  
pp. 206-216 ◽  
Author(s):  
Martin Hosek ◽  
Jan Prochazka
Keyword(s):  
Optical Sensors ◽  
Semiconductor Manufacturing ◽  
Manufacturing Systems ◽  
Robotic Manipulator ◽  
End Effector ◽  
Transfer Path ◽  
The Difference ◽  
Manufacturing Applications ◽  
Actual Location

This paper describes a method for on-the-fly determination of eccentricity of a circular substrate, such as a silicon wafer in semiconductor manufacturing applications, carried by a robotic manipulator, where eccentricity refers to the difference between the actual location of the center of the substrate and its desired position on the end-effector of the robotic manipulator. The method utilizes a pair of external optical sensors located along the substrate transfer path. When moving a substrate along the transfer path, the robotic manipulator captures the positions and velocities of the end-effector at which the edges of the substrate are detected by the sensors. These data along with the expected radius of the substrate and the coordinates of the sensors are used to determine the eccentricity of the substrate. This information can be used by the robotic manipulator to compensate for eccentricity of the substrate when performing a place operation, resulting in the substrate being placed centered regardless of the amount and direction of the initial eccentricity. The method can also be employed to detect a defect, such as breakage, of a circular substrate and report an error condition which can abort or otherwise adjust operation of the robotic manipulator.

scholarly journals Determination of the Optimal Parameters in Brass Turning Process by Taguchi method

2021 ◽  
Vol 9 (7) ◽  
pp. 929-936
Keyword(s):  
Taguchi Method ◽  
Feed Rate ◽  
Material Removal ◽  
Depth Of Cut ◽  
Optimal Parameters ◽  
Turning Process ◽  
Control Factors ◽  
Variable Control

This research is a study of the turning process by testing with brass material. There are three control factors: spindle of speed, feed rate, and depth of cut respectively. The turning process requires variable control,affect the quality of production productivity and production costplanning an experiment with the Taguchi Method help in theexperiment the analysis of variance, orthogonal array, and signal and noise ratios were considered as an experiment and survey of brass turning characteristics to determine the lowest material removal rate.The results obtained from the experiment were used to repeat the experiment for confirmation. This requires the turning process to be reliable and optimized

Determination of the Optimum Conditions for the Leaching of Lead from Zinc Plant Residues in NaCl–H2SO4–Ca(OH)2 Media by the Taguchi Method

2012 ◽  
Vol 51 (10) ◽  
pp. 3887-3894 ◽  
Author(s):  
Bahram Behnajady ◽  
Javad Moghaddam ◽  
Mohammad A. Behnajady ◽  
Fereshteh Rashchi
Keyword(s):  
Taguchi Method ◽  
Plant Residues ◽  
Optimum Conditions ◽  
Zinc Plant

Performance optimization of a flexible manufacturing system using simulation: the Taguchi method versus OptQuest

SIMULATION ◽  
2019 ◽  
Vol 95 (11) ◽  
pp. 1085-1096 ◽  
Author(s):  
Abdessalem Jerbi ◽  
Achraf Ammar ◽  
Mohamed Krid ◽  
Bashir Salah
Keyword(s):  
Taguchi Method ◽  
Performance Optimization ◽  
Flexible Manufacturing ◽  
Manufacturing Systems ◽  
Manufacturing System ◽  
Flexible Manufacturing System ◽  
Flow Time ◽  
Mean Flow ◽  
Taguchi Optimization ◽  
Mean Flow Time

The Taguchi method is widely used in the field of manufacturing systems performance simulation and improvement. On the other hand, Arena/OptQuest is one of the most efficient contemporary simulation/optimization software tools. The objective of this paper is to evaluate and compare these two tools applied to a flexible manufacturing system performance optimization context, based on simulation. The principal purpose of this comparison is to determine their performances based on the quality of the obtained results and the gain in the simulation effort. The results of the comparison, applied to a flexible manufacturing system mean flow time optimization, show that the Arena/OptQuest optimization platform outperforms the Taguchi optimization method. Indeed, the Arena/OptQuest permits one, through the lowest experimental effort, to reliably minimize the mean flow time of the studied flexible manufacturing system more than the Taguchi method.

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