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Intelligent manufacturing/production systems: Modeling, algorithms, and optimization

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journal contribution
posted on 12.09.2019, 13:48 by Peter Nielsen, Zbigniew Banaszak, Grzegorz Bocewicz, Mukund Nilakantan Janardhanan
Real-world manufacturing problems are heavily influenced by various uncertain factors, and in order to improve the efficiency of such systems, different optimization techniques such as artificial intelligent techniques can be used. The main aim of this Special Collection is to provide a platform for researchers in the area of manufacturing to share their ideas for further improvement of existing manufacturing systems and processes. The breadth of the papers included in this Special Collection clearly underlines that intelligent manufacturing is not limited to a narrow number of fields of study, or to a limited set of application domains. It seems fair to state that the domain is increasing in terms of both application areas and methods applied.

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Citation

Advances in Mechanical Engineering, 2018, 10 (12)

Author affiliation

/Organisation/COLLEGE OF SCIENCE AND ENGINEERING/Department of Engineering

Version

VoR (Version of Record)

Published in

Advances in Mechanical Engineering

Publisher

SAGE Publications (UK and US)

issn

1687-8132

eissn

1687-8140

Copyright date

2018

Available date

12/09/2019

Publisher version

https://journals.sagepub.com/doi/10.1177/1687814018819508

Language

en

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