Rajakal J.P., Ng D.K.S., Tan R.R., Andiappan V., Wan Y.K. (2021). Multi-objective expansion analysis for sustainable agro-industrial value chains based on profit, carbon and water footprint. Journal of Cleaner Production, 15/03/2021, vol. 288, p. 1-16.
https://doi.org/10.1016/j.jclepro.2020.125117
https://doi.org/10.1016/j.jclepro.2020.125117
Titre : | Multi-objective expansion analysis for sustainable agro-industrial value chains based on profit, carbon and water footprint (2021) |
Auteurs : | J.P. Rajakal ; D.K.S. Ng ; R.R. Tan ; V. Andiappan ; Y.K. Wan |
Type de document : | Article |
Dans : | Journal of Cleaner Production (vol. 288, March 2021) |
Article en page(s) : | p. 1-16 |
Langues : | Anglais |
Langues du résumé : | Anglais |
Catégories : |
Catégories principales 10 - INDUSTRIES ; 10.2 - IAA (en général)Thésaurus IAMM CHAINE DE VALEUR ; INDUSTRIE ALIMENTAIRE ; SECTEUR AGROINDUSTRIEL ; EMPREINTE HYDRIQUE ; EMPREINTE ECOLOGIQUE ; CARBONE ; BILAN CARBONE ; METHODE D'OPTIMISATION ; MODELE ; HUILE DE PALME ; ARECACEAE |
Mots-clés: | EMPREINTE CARBONE |
Résumé : | A sustainable agro-industrial value chain is essential for sustained food security. This requires optimised planning of operations and new expansions along the value chain. In this work, a fuzzy-based multi-objective approach is developed for planning sustainable new expansions of agriculture lands. Also, the expansion and capacity of post-harvest and production facilities and operations of logistics in the agro-industrial value chain are optimised. The model is a mixed-integer linear program (MILP) which takes profit, carbon footprint, and water footprint into account during optimisation. The expansion plan is optimised based on the expected increase in the demand for a particular agro-industrial product. To illustrate the proposed model, a palm value chain case study is solved. A scenario with a projected increase in palm oil demand is considered to demonstrate the model. The results for the case study showed a distinctive difference in the expansion strategy compared to single-objective optimisation, exhibiting trade-off between profit and carbon, water footprints. |
Cote : | Réservé lecteur CIHEAM |
URL / DOI : | https://doi.org/10.1016/j.jclepro.2020.125117 |