Name: Machine Learning-Based Prediction of Missing Parts for Assembly (Findings From Production Management Research) (en Inglés)
SKU: 62103655
Price: 314489.00 COP
Availability: InStock
Author: Fabian Steinberg
ISBN: 9783658450328

portada Machine Learning-Based Prediction of Missing Parts for Assembly (Findings From Production Management Research) (en Inglés)

Machine Learning-Based Prediction of Missing Parts for Assembly (Findings From Production Management Research) (en Inglés)

Formato

Libro Físico

Editorial

Springer Vieweg

Autor

Fabian Steinberg

Idioma

Inglés

N° páginas

155

Encuadernación

Tapa Blanda

ISBN13

9783658450328

N° edición

2024th

Machine Learning-Based Prediction of Missing Parts for Assembly (Findings From Production Management Research) (en Inglés)

Fabian Steinberg (Autor) · Springer Vieweg · Tapa Blanda

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Reseña del libro "Machine Learning-Based Prediction of Missing Parts for Assembly (Findings From Production Management Research) (en Inglés)"

Manufacturing companies face challenges in managing increasing process complexity while meeting demands for on-time delivery, particularly evident during critical processes like assembly. The early identification of potential missing parts at the beginning assembly emerges as a crucial strategy to uphold delivery commitments. This book embarks on developing machine learning-based prediction models to tackle this challenge. Through a systemic literature review, deficiencies in current predictive methodologies are highlighted, notably the underutilization of material data and a late prediction capability within the procurement process. Through case studies within the machine industry a significant influence of material data on the quality of models predicting missing parts from in-house production was verified. Further, a model for predicting delivery delays in the purchasing process was implemented, which makes it possible to predict potential missing parts from suppliers at the time of ordering. These advancements serve as indispensable tools for production planners and procurement professionals, empowering them to proactively address material availability challenges for assembly operations.