Leveraging Auto-generative Simulation for Decision Support in Engineer-to-Order Manufacturing-Reference-Cited by-同舟云学术

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Leveraging Auto-generative Simulation for Decision Support in Engineer-to-Order Manufacturing

Published:2024 Issue: Volume:232 Page:1319-1328
ISSN:1877-0509
Container-title:Procedia Computer Science
language:en
Short-container-title:Procedia Computer Science

Author:

Elbasheer Mohaiad,D'Augusta Virginia,Mirabelli Giovanni,Solina Vittorio,Talarico Simone

Publisher

Elsevier BV

Reference25 articles.

1. A prescriptive maintenance system for intelligent production planning and control in a smart cyber-physical production line;Padovano;Procedia CIRP,2021

2. Understanding dynamism and complexity factors in engineer-to-order and their influence on lean implementation strategy;Birkie;Production Planning & Control,2016

3. Applications of ML/AI for decision-intensive tasks in production planning and control;Elbasheer;Procedia Computer Science,2022

4. Industry 5.0: A survey on enabling technologies and potential applications;Maddikunta;Journal of Industrial Information Integration,,2022

5. Automatic simulation model generation supported by data stored in low level controllers;Popovics;IFAC Proceedings Volumes,2012

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