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THE DOUGHNUT AS A SUPPORT OF THE “SUSTAINABLE VALUE ENGINEERING”

Published online by Cambridge University Press:  19 June 2023

Alexis Lalevée*
Affiliation:
UR InSyTE, Université de Technologie de Troyes, 12 rue Marie Curie, 10010 Troyes, France; Univ. Grenoble Alpes, CNRS, Grenoble INP1, G-SCOP, 38000 Grenoble, France; Euro Contrôle Projet (ECP) Company, 13000 Aix-en-Provence, France;
Nadège Troussier
Affiliation:
UR InSyTE, Université de Technologie de Troyes, 12 rue Marie Curie, 10010 Troyes, France; Arts et Métiers - campus de Paris - ENSAM, 151 Boulevard de l'Hôpital, 75013 Paris, France;
Eric Blanco
Affiliation:
Univ. Grenoble Alpes, CNRS, Grenoble INP1, G-SCOP, 38000 Grenoble, France; Ecole de l'Air BA 701 13661 Salon Air, France
*
Lalevée, Alexis, University of Technology of Troyes, France, [email protected]

Abstract

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Societies are faced to ecological crises and widening disparities. This has to be integrated in the management of complex projects as they are increasingly complex and impactful. Value Analysis can serve assessing the value of a project i.e. knowing how the project will be perceived by the Stakeholders. It is a collaborative approach that helps make decisions in the early stages of a complex project.

This paper aims at demonstrating that a new “Sustainable Value Analysis” (SVA) provides a decision-making support toward sustainability. SVA uses a new definition of Value and a set of indicators based on the Doughnut.

Methods for the introduction of sustainability in the upstream design phases have limitations, which are highlighted in the literature review. Yet, the potentials of value approaches can be shown. Based on this analysis, an illustrative case is proposed to demonstrate how to integrate the ecological and social dimensions in a classical Value Engineering approach to determine SVA. The article concludes that the SVA allows identifying and characterizing the sustainable dimensions of Value, through a collective approach based on Stakeholders.

Type
Article
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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