Titlebook: Machine Learning-based Prediction of Missing Parts for Assembly; Fabian Steinberg Book 2024 The Editor(s) (if applicable) and The Author(s

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,Publication IV: Predicting Supplier Delays Utilizing Machine Learning—a Case Study in German ManufaA specific area that needs further attention is the prediction of late deliveries by suppliers. Recent approaches showed promising results but remained limited in their use of classification algorithms and struggled with the curse of dimensionality, making them less applicable to low-volume-high-variety production settings.

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https://doi.org/10.1007/978-3-658-45033-5Machine Learning; Production Planning and Control; Assembly; Prediction methods; Supervised Learning; Lea

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978-3-658-45032-8The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Fachmedien Wies

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,Publication II: Impact of Material Data in Assembly Delay Prediction—a Machine Learning-based Case Designing customized products for customer needs is a key characteristic of machine and plant manufacturers. Their manufacturing process typically consists of a design phase followed by planning and executing a production process of components required in the subsequent assembly. Production delays can lead to a delayed start of the assembly.

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Introduction,racteristic is particularly noticeable in the products of machinery manufacturers, whose products typically consist of a large number of components designed to meet specific customer requirements to provide a customized solution for each customer. [1, 2]. In the globalized and internationalized proc

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