Titlebook: Advances in Production Management Systems. Smart Manufacturing and Logistics Systems: Turning Ideas ; IFIP WG 5.7 Internat Duck Young Kim,G

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https://doi.org/10.1007/978-3-031-16407-1artificial intelligence; industry 4; 0; information technology; smart manufacturing; smart logistics

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978-3-031-16409-5IFIP International Federation for Information Processing 2022

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Computational Biomechanics for Medicine-sized manufacturers from improving forecasting accuracy, affecting overall performance. We classified products, then implemented a hybrid forecasting method and compared the outcome with Exponential smoothing, ARIMA, LSTM, and ANN forecasting techniques. Numerical results demonstrate that a selecti

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Lars Ole Schwen,Torben P?tz,Tobias Preusserring and quality control. Such areas include case specific requirements and restrictions that require the human expert’s knowledge and effort to apply the ML algorithms efficiently. This paper proposes a framework architecture that utilizes Automated Machine Learning (AutoML) to minimize human inter

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Tonmoy Dutta-Roy,Adam Wittek,Karol Millerpartial products and manages demand fluctuations and other dynamic order picking issues. We use the historical order picking data of a progressive zone picking system to extract features for the model. Subsequently, we train the estimation model and acquire the new storage location assignment by rel