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- W2023474101 abstract "Purpose – The purpose of this paper is to demonstrate the effectiveness of Six Sigma as an innovative tool in software design optimization. The problem of reducing simulation time for characterizing a type of DC motor is studied in this paper. The case study illustrates how Six Sigma tools such as the design of experiments (DOE) method can be used to improve a simulation process.Design/methodology/approach – A first‐principle model for the motor is used for simulation in MATLAB®. Each parameter in the model is assumed to have a known distribution. Using the random number generator in MATLAB®, Monte Carlo analysis is conducted. To reduce simulation time, several factors in the simulation process are identified. A two‐level full factorial DOE matrix is constructed. The Monte Carlo analysis is carried out for each of the parameter set in the DOE matrix. Based on the simulation results and the DOE analysis, the Simulink model is identified as the main contributor to the computational time of the simulation. S..." @default.
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- W2023474101 date "2011-03-29" @default.
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- W2023474101 title "Reducing simulation time using design of experiments" @default.
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- W2023474101 doi "https://doi.org/10.1108/20401461111119468" @default.
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