Title: Optimisation with multi-objective rule extraction for manufacturing management

Authors: Leif Pehrsson; Ingemar Karlsson

Addresses: School of Engineering Science, University of Skövde, SE-541 28 Skövde, Sweden ' School of Engineering Science, University of Skövde, SE-541 28 Skövde, Sweden

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]

Keywords: simulation; optimisation; decision-support; data mining; rule extraction; manufacturing management.

DOI: 10.1504/IJMR.2022.127107

International Journal of Manufacturing Research, 2022 Vol.17 No.4, pp.452 - 475

Received: 19 Feb 2020
Accepted: 24 Jan 2021
Published online: 22 Nov 2022 *

Full-text access for editors Full-text access for subscribers Purchase this article Comment on this article