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Könyv Optimisation and Control of Engineering Change Schedules in the Automotive Industry with Metaheuristics and Machine Learning Ognjen Radisic-Aberger

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

Szerző: Ognjen Radisic-Aberger
Nyelv: Angol
Kötés: Puha kötésű
Kiadó: Springer, Berlin
Elérhetőség: Beszállítói készleten
Küldés 5-8 napon belül
39 684 Ft
Adaptation and change are imperative for products and companies to remain competitive. Managing thes...

Információk a könyvről

Szerző
Ognjen Radisic-Aberger
Nyelv
Angol
Kötés
Könyv - Puha kötésű
Kiadva
2026
oldal
200
EAN
9783658510732
Enbook ID
50544798
Kiadó
Springer, Berlin
Súly
378
Méretek
148 x 210

Teljes leírás

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.

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