• search hit 2 of 1864
Back to Result List

Adaptable Machining Process Identification based on Expert Knowledge and Artificial Intelligence

  • The demand for product individuality increased enormously in recent years and thus affects directly manufacturers and their employees. Due to the increasing demand for batch-size-one production, every product needs specific manufacturing processes. Usually, employees determine these manufacturing steps with provided product data. This research proposal aims to contribute to the extraction of machining processes from product data and their assignment to suitable machinery. We plan to develop an organic computing system based on artificial intelligence methods to solve these problems by including customer-specific designs and employee expertise. The overall objective is to support employees in manufacturing facilities by simplifying the manufacturer and customer interaction.

Export metadata

Additional Services

Search Google Scholar
Metadaten
Author:Stefan-Andreas Böhm
DOI:https://doi.org/10.17170/kobra-202202215780
Parent Title (German):Organic Computing Doctoral Dissertation Colloquium 2021
Publisher:kassel university press
Place of publication:Kassel
Editor:Sven Tomforde, Christian Krupitzer
Document Type:Conference Proceeding
Language:English
Publication Year:2022
Tag:artificial intelligence,; internet of things; manufacturing systems; organic computing; reinforcement learning
First Page:1
Last Page:14