Title: Integration of morphological analysis theory and artificial neural network approach for sustainable product design: a case study of portable vacuum cleaner

Authors: Mohd Fahrul Hassan; Muhamad Zameri Mat Saman; Safian Sharif; Badrul Omar

Addresses: Department of Materials and Design Engineering, Faculty of Mechanical and Manufacturing Engineering, Universiti Tun Hussein Onn Malaysia, 86400 Parit Raja, Batu Pahat, Johor, Malaysia. ' Department of Manufacturing and Industrial Engineering, Faculty of Mechanical Engineering, Universiti Teknologi Malaysia, 81310 UTM Johor Bahru, Johor, Malaysia. ' Department of Manufacturing and Industrial Engineering, Faculty of Mechanical Engineering, Universiti Teknologi Malaysia, 81310 UTM Johor Bahru, Johor, Malaysia. ' Faculty of Mechanical and Manufacturing Engineering, Universiti Tun Hussein Onn Malaysia, 86400 Parit Raja, Batu Pahat, Johor, Malaysia

Abstract: A need for incorporating sustainability requirements during product development phase so as to ensure green initiatives is the vital focus of today's industries. However, proposed approaches are lacking in terms of sustainability aspects and difficulty in selecting the most sustainable product assembly model at the end of the methodologies. Besides, useful tools such as life-cycle assessment (LCA), streamlined LCA and environmental matrix for assessing the environmental impacts associated with a product have been incorporated in order to fulfil those limitations but the variation in price and complexity makes it difficult to match the goal, scope and budget of the product design. Therefore, this study presents an integrated morphological analysis theory and artificial neural network approach for producing products in sustainable manner that caters to environment, economic and social aspects. As a result from the case study, the most sustainable of new portable vacuum cleaner models can be systematically selected.

Keywords: sustainable design; product design; morphological analysis; sustainability indicators; artificial neural networks; ANNs; portable vacuum cleaners; sustainable product development.

DOI: 10.1504/IJSM.2012.048585

International Journal of Sustainable Manufacturing, 2012 Vol.2 No.4, pp.293 - 316

Received: 08 May 2021
Accepted: 12 May 2021

Published online: 16 Aug 2012 *

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