An AHP-based multi-criteria model for sustainable supply chain development in the renewable energy sector

Ernesto Mastrocinque, F. Javier Ramirez, Andres Honrubia-Escribano, Duc Truong Pham

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    134 Citations (Scopus)
    554 Downloads (Pure)


    The aim of this paper is to provide a multi-criteria decision making framework based on the Triple Bottom Line principles and Analytic Hierarchy Process methodology for sustainable supply chain development in the renewable energy sector. The proposed framework encompasses the whole energy production supply chain, from raw materials’ suppliers to disposal. In particular, the photovoltaic energy sector has been used as case study and represents the focus of this work. The framework is based on the three Triple Bottom Line dimensions such as social, economic and environmental. Furthermore, literature review and expert opinions are used to identify and assess the sub-criteria for each dimension, followed by pair-wise comparison. Finally, the proposed framework is used to evaluate the seven European countries that conjointly represent the 86.8% of the total photovoltaic installed capacity in Europe, using both logical and quantitative information. Results are in agreement with the photovoltaic development in the period 2000-2017 in these countries. The proposed framework provides the decision makers with a powerful tool for making sustainable investment decisions in the photovoltaic energy sector.
    Original languageEnglish
    Article number113321
    JournalExpert Systems with Applications
    Early online date21 Feb 2020
    Publication statusPublished - 15 Jul 2020

    Bibliographical note

    NOTICE: this is the author’s version of a work that was accepted for publication in Expert Systems with Applications. Changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting, and other quality control mechanisms may not be reflected in this document. Changes may have been made to this work since it was submitted for publication. A definitive version was subsequently published in Expert Systems with Applications, 150 (2020)] DOI: 10.1016/j.eswa.2020.113321

    © 2020, Elsevier. Licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International


    • Analytic hierarchy process
    • Multi-criteria decision making
    • Photovoltaic sector
    • Renewable energy
    • Sustainable supply chain
    • Triple bottom line

    ASJC Scopus subject areas

    • Engineering(all)
    • Computer Science Applications
    • Artificial Intelligence


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