Titlebook: Advances in Production Management Systems. Production Management Systems for Volatile, Uncertain, Co; 43rd IFIP WG 5.7 Int Matthias Thürer,

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Advances in Production Management Systems. Production Management Systems for Volatile, Uncertain, Co43rd IFIP WG 5.7 Int

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,Die syn?kologischen Grundgesetze,tion, hyperparameter tuning, data balancing and feature importance. Logistic Regression, Decision Tree, Random Forest and XGBoost are the models employed, with F1-Score being the evaluation metric. Besides the ML analysis, the AS also allows for descriptive analysis without ML and data profiling.The

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Grundzüge der theoretischen Logikrking production systems, the variables of operational performance and resources consumption considered are process time, number of operators, consumables, raw material, and energy. These can be suitably used for reduction in water emissions, gas emissions, solid waste and scrap generated in metalwo

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Grundzüge der theoretischen Logiknowledge related to the CI of IP, showing that companies can stabilize and even increase their inspection performance by implementing improvement actions through the proposed framework. The case study describes alterations related to which quality characteristics to inspect and whereby, while sugges

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https://doi.org/10.37307/b.978-3-503-20015-3es, with positive impacts on environmental sustainability, particularly in materials, energy, emissions, and waste management. However, certain lean practices exhibit nuanced effects, underscoring the need for tailored approaches in different production phases. The study contributes insights into su