Sustainable Food Supply Chains: Towards a Framework for Waste Identification - Inria - Institut national de recherche en sciences et technologies du numérique Accéder directement au contenu
Communication Dans Un Congrès Année : 2013

Sustainable Food Supply Chains: Towards a Framework for Waste Identification

Résumé

Reduction of waste in food supply chains is an important sustainability issue. More efficient utilisation and management of the resources and values created in food supply chains can contribute to improving competitiveness, and environmental and social responsibility. This study uses the seven wastes approach from lean theory to classify categories of waste in fresh food supply chains and to identify at which stage of the supply chain waste occur. A case is used to illustrate the applicability of the classification. The analysis identifies four categories of waste in the fresh food supply chain; time, distance, energy and mass. The study indicates that the majority of waste is hidden in time, energy and mass categories, related to overproduction, defects and transportation.
Fichier principal
Vignette du fichier
978-3-642-40352-1_27_Chapter.pdf (158.58 Ko) Télécharger le fichier
Origine : Fichiers produits par l'(les) auteur(s)
Loading...

Dates et versions

hal-01472243 , version 1 (20-02-2017)

Licence

Paternité

Identifiants

Citer

Lukas Chabada, Heidi Carin Dreyer, Anita Romsdal, Daryl John Powell. Sustainable Food Supply Chains: Towards a Framework for Waste Identification. 19th Advances in Production Management Systems (APMS), Sep 2012, Rhodes, Greece. pp.208-215, ⟨10.1007/978-3-642-40352-1_27⟩. ⟨hal-01472243⟩
237 Consultations
401 Téléchargements

Altmetric

Partager

Gmail Facebook X LinkedIn More