Self-Organizing Tool for Smart Design with Predictive Customer Needs and Wants to Realize Industry 4.0

Flores Saldivar, A. A., Goh, C. S., Chen, W.-n. and Li, Y. (2016) Self-Organizing Tool for Smart Design with Predictive Customer Needs and Wants to Realize Industry 4.0. In: CEC 2016: IEEE World Congress on Computational Intelligence, Vancouver, Canada, 24-29 July 2016, pp. 5317-5324. ISBN 9781509006236 (doi:10.1109/CEC.2016.7748366)

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Abstract

Following the first three industrial revolutions, Industry 4.0 (I4) aims at realizing mass customization at a mass production cost. Currently, however, there is a lack of smart analytics tools for achieving such a goal. This paper investigates this issues and then develops a predictive analytics framework integrating cloud computing, big data analysis, business informatics, communication technologies, and digital industrial production systems. Computational intelligence in the form of a self-organizing map (SOM) is used to manage relevant big data for feeding potential customer needs and wants to smart designs for targeted productivity and customized mass production. The selection of patterns from big data with SOM helps with clustering and with the selection of optimal attributes. A car customization case study shows that the SOM is able to assign new clusters when growing knowledge of customer needs and wants. The self-organizing tool offers a number of features suitable to smart design that is required in realizing Industry 4.0.

Item Type:Conference Proceedings
Status:Published
Refereed:Yes
Glasgow Author(s) Enlighten ID:Flores Saldivar, Mr Alfredo and Goh, Dr Cindy Sf and Li, Professor Yun
Authors: Flores Saldivar, A. A., Goh, C. S., Chen, W.-n., and Li, Y.
College/School:College of Science and Engineering > School of Engineering
College of Science and Engineering > School of Engineering > Systems Power and Energy
ISBN:9781509006236
Copyright Holders:Copyright © 2016 IEEE
First Published:First published in 2016 IEEE Congress on Evolutionary Computation (CEC): 5317-5324
Publisher Policy:Reproduced in accordance with the publisher copyright policy
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