Téléchargez le livre : Optimisation and Control of Engineering Change Schedules in the Automotive Industry with Metaheuristics and Machine Learning

Optimisation and Control of Engineering Change Schedules in the Automotive Industry with Metaheuristics and Machine Learning



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Éditeur :

Springer Vieweg


Paru le : 2026-02-21



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Description

Adaptation and change are imperative for products and companies to remain competitive. Managing these changes, however, is increasingly difficult and requires thorough planning and management. Especially in complex production systems, the efficient handling of these engineering changes becomes a competitive edge. This book embarks upon the task to manage the increasingly difficult optimisation and control of engineering changes through artificial intelligence. Based on a knowledge base gained from a systematic literature review, it is shown how AI methods can be applied to resolve challenges faced in production environments. Based on metaheuristic algorithms, optimal EC effectivity dates are determined, which are then validated and controlled by machine learning based business process monitoring. These advances provide significant support for change coordinators and material planners by reducing administrative effort end ensuring complexity control.
Pages
283 pages
Collection
n.c
Parution
2026-02-21
Marque
Springer Vieweg
EAN papier
9783658510732
EAN PDF
9783658510749
Informations sur l'ebook
Nombre pages copiables
2
Nombre pages imprimables
28
Taille du fichier
10291 Ko
Ce livre est accessible aux handicaps Voir les informations sur l'accessibilité
Prix
105,49 €
EAN EPUB
9783658510749
Informations sur l'ebook
Nombre pages copiables
2
Nombre pages imprimables
28
Taille du fichier
17828 Ko
Ce livre est accessible aux handicaps Voir les informations sur l'accessibilité
Prix
105,49 €

Ognjen Radišic-Aberger works in production planning. His academic research focuses on AI approaches to optimise production processes and production management.

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