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Original Articles

Optimizing mean and variance of multiresponse in a multistage manufacturing process using operational data

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Abhinav Kumar Sharma, Indrajit Mukherjee & Sasadhar Bera. (2023) A novel machine learning-based multiobjective robust optimisation strategy for quality improvement of multivariate manufacturing processes. International Journal of Production Research 61:13, pages 4322-4340.
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Articles from other publishers (5)

Taha-Hossein Hejazi. (2022) A scenario-based desirability function for correlated multi-response optimization problems considering modeling and implementation errors. Journal of Computational Science 63, pages 101764.
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So-Hee Kim, Dong-Hee Lee & Kwang-Jae Kim. (2022) EWMA-PRIM: Process optimization based on time-series process operational data using the exponentially weighted moving average and patient rule induction method. Expert Systems with Applications 195, pages 116606.
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Amir Moslemi & Mirmehdi Seyyed-Esfahani. (2022) Robust optimization of multistage process: response surface and multi-response optimization approaches. International Journal of Nonlinear Sciences and Numerical Simulation 23:2, pages 163-175.
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Taewon Heo, Youngju Kim & Chang Ouk Kim. (2022) A Modified Lasso Model for Yield Analysis Considering the Interaction Effect in a Multistage Manufacturing Line. IEEE Transactions on Semiconductor Manufacturing 35:1, pages 32-39.
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Dong-Hee Lee, So-Hee Kim & Kwang-Jae Kim. (2021) Multistage MR-CART: Multiresponse optimization in a multistage process using a classification and regression tree method. Computers & Industrial Engineering 159, pages 107513.
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