Anglia Ruskin Research Online (ARRO)
Browse
1-s2.0-S0377221723000668-main.pdf (1.94 MB)

Can “Ugly Veg” Supply Chains Reduce Food Loss?

Download (1.94 MB)
journal contribution
posted on 2023-07-26, 16:07 authored by Behzad Hezarkhani, Guven Demirel, Bouchery Yann, Manoj Dora
The tradition of marketing only aesthetically agreeable produce by retailers contributes to a major source of food loss through “ugly veg”, i.e., the produce that does not look “regular”. In this paper, we examine the relations between different tiers of agri-food supply chains to study the impact of marketing ugly veg on different supply chain members and the food loss in the system. We examine and compare scenarios of a centralized supply chain, a traditional supply chain without ugly veg, an ugly veg supply chain with a single retailer offering both regular produce and ugly veg, and a two-retailer supply chain where an auxiliary retailer sells the ugly veg. We characterize the equilibrium decisions in these systems and also provide analytical results and insights on the effectiveness of different supply chain designs based on a comprehensive numerical study. We demonstrate the conditions under which the supply chain can reduce overall food loss. For sufficiently high cost of effort, selling ugly veg through the single retailer reduces food loss. Nonetheless, the grower is generally better off offering the ugly veg to an auxiliary retailer. We show that the ratio of food loss per cultivated land always decreases in the two-retailer supply chain, while the total food loss might increase for sufficiently high cost of effort.

History

Refereed

  • Yes

Publication title

European Journal of Operational Research

Publisher

Elsevier

File version

  • Published version

Language

  • eng

Legacy posted date

2023-01-27

Legacy creation date

2023-01-27

Legacy Faculty/School/Department

Faculty of Business & Law

Usage metrics

    ARU Outputs

    Categories

    No categories selected

    Licence

    Exports

    RefWorks
    BibTeX
    Ref. manager
    Endnote
    DataCite
    NLM
    DC