Costa T.P., Costa T.P., Gillespie J., Pelc K., Adefisan A., Adefisan M., Ramanathan R., Murphy F. (2023). Life cycle assessment tool for food supply chain environmental evaluation. Sustainability, 01/01/2023, vol. 15, n. 1, p. 1-24.
https://doi.org/10.3390/su15010718
https://doi.org/10.3390/su15010718
Titre : | Life cycle assessment tool for food supply chain environmental evaluation (2023) |
Auteurs : | T.P. Costa ; T.P. Costa ; J. Gillespie ; K. Pelc ; A. Adefisan ; M. Adefisan ; R. Ramanathan ; F. Murphy |
Type de document : | Article |
Dans : | Sustainability (vol. 15, n. 1, January 2023) |
Article en page(s) : | p. 1-24 |
Langues : | Anglais |
Langues du résumé : | Anglais |
Catégories : |
Catégories principales 10 - INDUSTRIES ; 10.2 - IAA (en général)Thésaurus IAMM INDUSTRIE ALIMENTAIRE ; CHAINE D'APPROVISIONNEMENT ; ANALYSE DU CYCLE DE VIE ; CHANGEMENT CLIMATIQUE ; PERFORMANCE ENVIRONNEMENTALE ; ENTREPRISE |
Résumé : | Food is at the centre of efforts to combat climate change, reduce water stress, pollution, and conserve the world's wildlife. Assessing the environmental performance of food companies is essential to provide a comprehensive view of the production processes and gain insight into improvement options, but such a tool is currently non-existent in the literature. This study proposed a tool based on the life cycle assessment methodology focused on six stages of the food chain, raw materials acquisition, supplier, manufacturing, distribution, retail and wastes. The user can also evaluate the implementation of Internet of Things (IoT) technologies to reduce food waste applied in the real-world problems. The tool was validated through a case study of a food manufacturing company that prepares frozen meals via vending machines. The LCA results provided by the tool showed that food raw materials production is the main hotspot of nine impact categories. The IoT technologies' contribution increased the company's impact by around 0.4%. However, it is expected that employing these monitoring technologies would prevent food waste generation and the associated environmental impacts. Therefore, the results of this paper provide evidence that the proposed tool is suitable for determining environmental impacts and savings of food supply chain companies. |
Cote : | En ligne |
URL / DOI : | https://doi.org/10.3390/su15010718 |