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. 2019 Nov 9:28:104766.
doi: 10.1016/j.dib.2019.104766. eCollection 2020 Feb.

Multi-period optimal design of an aerospace CFRP waste management supply chain: Data set, variables and criteria for the development of a multi-objective MILP model

Anh Vo Dong  1 , Catherine Azzaro-Pantel  1 , Marianne Boix  1
Affiliations

Multi-period optimal design of an aerospace CFRP waste management supply chain: Data set, variables and criteria for the development of a multi-objective MILP model

Anh Vo Dong et al. Data Brief. .

Abstract

This paper presents the data set, variables and criteria for the development of a multi-objective and multi-period Mixed Integer Linear Programming (MILP) model for the deployment and design of an aerospace CFRP (Carbon Fibre Reinforced Polymer) waste supply chain. It involves ε-constraint, lexicographic techniques and Multiple Criteria Decision Making (MCDM) tools. In this model, the deployment of new recycling sites (Grinding, Pyrolysis, Supercritical Water, Microwave) is established. The system is optimised by bi-criteria optimisation including an economic objective based on cost minimisation or Net Present Value (NPV) maximisation and an environmental one (minimisation of Global Warming Potential). The presentation of the global strategy, the results and their discussion have been presented in a companion paper (Vo Dong, P.A., Azzaro-Pantel, C., Boix, A multi-period optimisation approach for deployment and optimal design of an aerospace CFRP waste management supply chain, Waste Management, Volume 95, 2019, Pages 201-216 [1]). The data were acquired by literature analysis, by use of Simapro v7.3 software tool and EcoInvent database, by use of institutional sources (Eurostat for energy prices) or from Airbus and Boeing websites for aircraft deliveries and calculation of CFRP content. The model was created by the authors within the framework of SEARRCH (Sustainability Engineering Assessment Research for Recycling Composite with High value) project supported by ANR (Agence Nationale de la Recherche Scientifique). The case study of CFRP waste supply chain in France has supported the deployment analysis.

Keywords: Bi-criteria optimisation; CFRP supply chain; Mixed integer linear programming; Multi-period approach; Waste management.

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References

    1. Vo Dong P.A., Azzaro-Pantel C. Boix, Anh Vo Dong, Catherine Azzaro-Pantel, Marianne Boix, A multi-period optimisation approach for deployment and optimal design of an aerospace CFRP waste management supply chain. Waste Manag. 2019;95:201–216. ISSN 0956–053X. - PubMed
    1. Vo Dong P.A., Azzaro-Pantel C., Boix M., Jacquemin L., Cadène A.-L. A bicriteria optimisation approach for waste management of carbon fibre reinforced polymers used in aerospace applications: application to the case study of France. Waste Biomass Valorization. 2016:1–22.
    1. Simapro v7.3, https://simapro.com. Product of Pré Consultants (Accessed 22 November 2019).
    1. Goedkoop M., Heijungs R., Huijbregts M., De Schryver A., Struijs J., van Zelm R. 2009. ReCiPe 2008 A Life Cycle Impact Assessment Method Which Comprises Harmonised Category Indicators at the Midpoint and the Endpoint Level.
    1. Eurostat, Energy price statistics [WWW Document]. URL http://ec.europa.eu/eurostat/statistics-explained/index.php/Energy_price... (Accessed 22 November 2019).

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