Access the full text.
Sign up today, get DeepDyve free for 14 days.
Loading next page...
/lp/inderscience-publishers/optimisation-with-multi-objective-rule-extraction-for-manufacturing-4IhRZH5F6d
References
References for this paper are not available at this time. We will be adding them shortly, thank you for your patience.
- Publisher
- Inderscience Publishers
- Copyright
- Copyright © Inderscience Enterprises Ltd
- ISSN
- 1750-0591
- eISSN
- 1750-0605
- DOI
- 10.1504/ijmr.2022.127107
- Publisher site
- See Article on Publisher Site
Abstract
Industry is foreseeing rapid developments in the ability to capture data within its manufacturing operations and the interest in methods for extracting knowledge from such data is increasing. Through digital representations of manufacturing operations, future scenarios can be modelled and developed with analysis tools based on simulation in combination with multi-objective optimisation. The results from such analysis tools may be challenging to interpret, especially when expanding the scope to searching for information patterns. An emerging multi-objective rule extraction method, with the ability to handle discrete input parameters, has been further developed towards integration in an intelligent decision support system. [Submitted 19 February 2020; Accepted 24 January 2021]
Journal
International Journal of Manufacturing Research – Inderscience Publishers
Published: Jan 1, 2022