Abstract
Nowadays, academics and industrial practitioners widely consider additive manufacturing systems to enhance overall production and operational effectiveness and efficiency, owing to the concepts of Industry 4.0 and 5.0. This paper proposes a structural equation model to evaluate the impact of customisation experience and perceived value within a data-driven additive manufacturing system. To deepen the understanding of customer-perceived value and its connection to additive manufacturing, this study defines four new sources of perceived value: reliability, performance, aesthetics, and features. All of these new values are based on utilitarian value, and four of them exhibit statistical significance in relation to utilitarian value. In order to apply these new values to additive manufacturing, it is necessary to conduct mechanical testing and studies to identify the ideal parameter set for 3D printing that aligns with customer-perceived value regarding these new values.
| Original language | English |
|---|---|
| Pages (from-to) | 1153-1184 |
| Number of pages | 32 |
| Journal | Journal of Engineering Design |
| Volume | 35 |
| Issue number | 9 |
| Early online date | 5 Jul 2024 |
| DOIs | |
| Publication status | Published - 2024 |
Bibliographical note
Copyright © 2024 Informa UK Limited, trading as Taylor & Francis Group. This is an Accepted Manuscript version of the following article, accepted for publication in Journal of Engineering Design and published on 5th July 2024 . This version is made available under the terms of the Creative Commons Attribution-NonCommercial License (https://creativecommons.org/licenses/by-nc/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited.Keywords
- Additive manufacturing
- customisation experience
- perceived value
- structural equation model