Using a multi-criteria decision aid methodology to implement sustainable development principles within an Organization

Myriam Merad 1 Nicolas Dechy 1 Lisa Serir 2 Michel Grabisch 3, 4 Frédéric Marcel 1
1 INERIS - Institut National de l'Environnement Industriel et des Risques
2 FEMTO-ST - Franche-Comté Électronique Mécanique, Thermique et Optique - Sciences et Technologies (UMR 6174)
3 CES - Centre d'économie de la Sorbonne
4 PSE - Paris School of Economics
Abstract : The implementation of Sustainable Development (SD) within an Organization is a difficult task. This is due to the fact that it is difficult to deal with conflicting and incommensurable aspects such as environmental, economic and social dimensions. In this paper we have used a Multi-Criteria Decision Aid (MCDA) methodology to cope with these difficulties. MCDA methodology offers the opportunity to avoid monetary valuation of the different dimensions of the SD. These dimensions are not substitutable for one another and all have a role to play. There is an abundance of possible aggregation procedures in MCDA methodology. In this paper we have proposed an innovative method to choose a suitable aggregation procedure for SD problems. Real life case studies of the implementation of an outranking approach (i.e., ELECTRE) and of a mono-criterion synthesis approach (i.e., MAUT approaches based on the Choquet integral) were done to respectively rank 22 SD strategic actions within an expertise Institute and rank 20 practical operational actions to control energy consumption of the Institute's buildings.
Mots-clés : Sustainable Development indicators Sustainable Development action plan Multi-Criteria Decision Aid ELECTRE Choquet Integral
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INERIS | UNIV-PARIS1 | CNRS | UNIV-FCOMTE | UNIV-BM | FEMTO-ST | CES | PSE | LABEX-OSE | UNIV-BM-THESE

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Myriam Merad, Nicolas Dechy, Lisa Serir, Michel Grabisch, Frédéric Marcel. Using a multi-criteria decision aid methodology to implement sustainable development principles within an Organization. European Journal of Operational Research, Elsevier, 2013, pp.603-613. ⟨10.1016/j.ejor.2012.08.019⟩. ⟨halshs-00752736⟩

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