Optimizing Last-Mile Delivery: A Bi-Objective Model for Cost Efficiency and Customer-Centric Distribution of Perishable and Non-Perishable Goods

Master Thesis (2025)
Author(s)

L. Cao (TU Delft - Civil Engineering & Geosciences)

Contributor(s)

L.A. Antal Tavasszy – Graduation committee member (TU Delft - Transport, Mobility and Logistics)

Patrick Stokkink – Graduation committee member (TU Delft - Transport and Logistics)

Faculty
Civil Engineering & Geosciences
More Info
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Publication Year
2025
Language
English
Graduation Date
10-03-2025
Awarding Institution
Delft University of Technology
Programme
['Transport, Infrastructure and Logistics']
Faculty
Civil Engineering & Geosciences
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Abstract

This study focuses on optimizing last-mile delivery in e-commerce by balancing cost efficiency and customer preferences, particularly for mixed perishable and non-perishable goods networks. As online grocery shopping grows, ensuring the timely and efficient delivery of perishable products while maintaining quality remains a critical challenge. The model evaluates home delivery, attended pickup points, and lockers, revealing that cost-driven strategies shift deliveries toward self-pickup, with perishable items primarily assigned to attended pickup points due to temperature control. The findings provide insights for improving delivery network design, enhancing service quality, and optimizing the distribution of both perishable and non-perishable products.

Files

Thesis_Luyang_Cao.pdf
(pdf | 3.85 Mb)
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