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Bi-objective optimization of e-grocery deliveries considering food quality losses

Title data

Fikar, Christian ; Braekers, Kris:
Bi-objective optimization of e-grocery deliveries considering food quality losses.
In: Computers & Industrial Engineering. Vol. 163 (2022) . - No. 107848.
ISSN 0360-8352
DOI: https://doi.org/10.1016/j.cie.2021.107848

Abstract in another language

Motivated by urban e-grocery deliveries, this work introduces a vehicle routing procedure to assist a reduction in food waste. A bi-objective problem setting is considered to investigate trade-offs between minimizing travel distances and food quality losses resulting from delivery and loading processes. A store-based last-mile delivery setting is studied, i.e., orders are picked up from stores and subsequently delivered to customers’ premises. The problem setting is modeled as a dial-a-ride problem, however, the procedure additionally decides on where to pick up products based on current inventory levels. Results of computational experiments show a substantial trade-off between minimizing travel distances and food quality losses, highlighting the importance of considering such aspects in related delivery operations to facilitate food waste reductions in the future.

Further data

Item Type: Article in a journal
Refereed: Yes
Keywords: Vehicle Routing; E-Grocery; Food Waste; Multi-Objective; Perishables
Institutions of the University: Faculties > Faculty of Life Sciences: Food, Nutrition and Health > Chair Food Supply Chain Management
Faculties
Faculties > Faculty of Life Sciences: Food, Nutrition and Health
Result of work at the UBT: Yes
DDC Subjects: 300 Social sciences > 330 Economics
Date Deposited: 02 Dec 2021 08:51
Last Modified: 20 Dec 2021 11:49
URI: https://eref.uni-bayreuth.de/id/eprint/68053