Please use this identifier to cite or link to this item: http://hdl.handle.net/1942/36618
Title: Bi-objective optimization of e-grocery deliveries considering food quality losses
Authors: Fikar, Christian
BRAEKERS, Kris 
Issue Date: 2022
Publisher: Elsevier
Source: COMPUTERS & INDUSTRIAL ENGINEERING, 163 (Art N° 107848)
Status: Early view
Abstract: 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.
Keywords: Vehicle routing;E-grocery;Food waste;Multi-objective;Perishables
Document URI: http://hdl.handle.net/1942/36618
ISSN: 0360-8352
e-ISSN: 1879-0550
DOI: 10.1016/j.cie.2021.107848
ISI #: 000775907400022
Datasets of the publication: 10.17632/4nfgkvhts5.4
Rights: 2021 Elsevier Ltd. All rights reserved
Category: A1
Type: Journal Contribution
Validations: ecoom 2023
Appears in Collections:Research publications

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