For some NP-hard lotsizing problems, many different heuristics exist, but they have different solution qualities and computation times depending on the characteristics of the instance. The computation times of the individual heuristics increase significantly with the problem size, so that...

As machine learning is widely applied to improve the efficiency and effectiveness of manufacturing systems, the automated selection of appropriate algorithms and hyperparameters becomes increasingly important. This paper presents a model selection approach to multivariate anomaly detection for...

Einleitung -- Künstliche neuronale Netze (KNN) -- Einführung in die Losgrößenplanung -- Ein maschineller Lernansatz zur Auswahl der besten Lösungsheuristik -- Zusammenfassung und Ausblick -- Literaturverzeichnis.