Title |
Driving Sustainable Innovation: Exploring Lean, Green, Circular, and Smart Design |
ID_Doc |
26238 |
Authors |
Benabdellah, AC; Zekhnini, K; Cherrafi, A; Reyes, JG |
Title |
Driving Sustainable Innovation: Exploring Lean, Green, Circular, and Smart Design |
Year |
2024 |
Published |
|
DOI |
10.1016/j.procs.2024.01.088 |
Abstract |
Driven by a technological transition, paradigms such as Lean, Green, and Circular Economy are increasingly being addressed by manufacturers to provide increasingly complex solutions. Whether considering products or services, design plays a decisive role in this context. Concurrent engineering and approaches to Design for X (DFX) have become commonly related to products and services, revealing the prominent potential to enhance product quality, improve sustainability performance, increase consumer satisfaction, and support the design of products, processes, and systems. However, many researchers have developed several DFX techniques with modified applications for different domains. This diversity makes it hard for practitioners and researchers when considering advanced technologies, to suit the current DFX with an integrated lean, green, and circular design perspective. In this regard, this paper aims to present a literature analysis concerning a potential model for the integration of four paradigms of management: lean, green, circular economy, and Industry 4.0 while considering DFX approaches. As a result, a framework that illustrates the connection between the fourth paradigm considered and the DFX approaches is presented. Our analysis would be useful to academics and practitioners since it indicates the field's key limitations and research lines. (C) 2024 The Authors. Published by Elsevier B.V. |
Author Keywords |
Design for X; Lean design; Green Design; Circular Design; Smart Design; Sustainable innovation |
Index Keywords |
Index Keywords |
Document Type |
Other |
Open Access |
Open Access |
Source |
Conference Proceedings Citation Index - Science (CPCI-S) |
EID |
WOS:001196800600088 |
WoS Category |
Computer Science, Theory & Methods; Engineering, Industrial; Engineering, Manufacturing |
Research Area |
Computer Science; Engineering |
PDF |
https://doi.org/10.1016/j.procs.2024.01.088
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