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DESIGN OPTIMIZATION FOR ENVIRONMENTAL SUSTAINABILITY: A FRAMEWORK TO SELECT THE BEST ECO-DESIGN STRATEGY

Published online by Cambridge University Press:  19 June 2023

Federica Cappelletti ,
Luca Manuguerra ,
Marta Rossi ,
Michele Germani  and
Mikhailo Sartini
Federica Cappelletti*
Affiliation:
Università Politecnica delle Marche
Luca Manuguerra
Affiliation:
Università Politecnica delle Marche
Marta Rossi
Affiliation:
Università Politecnica delle Marche
Michele Germani
Affiliation:
Università Politecnica delle Marche
Mikhailo Sartini
Affiliation:
Università Politecnica delle Marche
*
Cappelletti, Federica, Università Politecnica delle Marche, Italy, f.cappelletti@pm.univpm.it

Abstract

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Environmental sustainability represents an unavoidable design driver. The consciousness of the importance of tackle the topic of environmental sustainability since the first stages of the product lifecycle is slowly spreading through enterprises. However, although they reach this grade of awareness, it is hard to introduce additional considerations to the traditional drivers of functionality, manufacturability, assembly, cost, etc. Therefore, it is crucial to identify methods and tools to support companies in efficiently integrating environmental sustainability issues in their design process. This paper proposes an approach to identify the inputs, functionality and outputs suitable to each industrial reality. Its core is the eco-design tool matrix, that estimates the tool implementation time and suggests proper outputs; from this the necessary inputs and functional blocks are derived. The approach is applied to the cases of two Italian industries, very different one another. This proves the wide applicability of the approach. The definition of a validation procedure represents the next steps to identify the benefits of the approach.

Keywords

EcodesignDesign processDesign managementDesign methodology
Type
Article
Information
Proceedings of the Design Society , Volume 3: ICED23 , July 2023 , pp. 1297 - 1306
Creative Commons
Creative Common License - CCCreative Common License - BYCreative Common License - NCCreative Common License - ND
This is an Open Access article, distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivatives licence (http://creativecommons.org/licenses/by-nc-nd/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is unaltered and is properly cited. The written permission of Cambridge University Press must be obtained for commercial re-use or in order to create a derivative work.
Copyright
The Author(s), 2023. Published by Cambridge University Press

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