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Definition of 3D Printing Parameters by the Design of Experiments to Characterise Carbon Fibre-Reinforced Polyamide Read chapter Read first chapter

2024 | OriginalPaper | Chapter

A Cuckoo Search Heuristic to Improve a Last Mile Ecommerce Problem

Authors : Alejandro Escudero-Santana, Luis Onieva, María Rodríguez-Palero, María-Luisa Muñoz-Díaz

Published in: Proceedings of the 17th International Conference on Industrial Engineering and Industrial Management (ICIEIM) – XXVII Congreso de Ingeniería de Organización (CIO2023)

Publisher: Springer Nature Switzerland

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Abstract

The rise of e-commerce as an alternative to face-to-face trader has entailed an increase in logistic complexity of the deliveries to end customers. It is in these deliveries that there are too many incidences due to the recipients not being in the agreed place. This work presents a new framework of last mile logistics where customers can suggest several delivery points with different time-windows. This logistics problem is a new kind of vehicle routing problem with time-windows, but more complex. A cuckoo search heuristic has been proposed to solve it. The results reveal that this new policy with several locations can reduce delivery costs. Regarding cuckoo search, this algorithm finds good solutions, as long as the execution time is not a limitation.

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previous chapter Genetic Algorithm to Create Bulk Delivery Routes for Multi-compartment Vehicles with Limited Capacities
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Literature
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Metadata
Title
A Cuckoo Search Heuristic to Improve a Last Mile Ecommerce Problem
Authors
Alejandro Escudero-Santana
Luis Onieva
María Rodríguez-Palero
María-Luisa Muñoz-Díaz
Copyright Year
2024
Book
Proceedings of the 17th International Conference on Industrial Engineering and Industrial Management (ICIEIM) – XXVII Congreso de Ingeniería de Organización (CIO2023)

Print ISBN: 978-3-031-57995-0

Electronic ISBN: 978-3-031-57996-7

Copyright Year: 2024

DOI
https://doi.org/10.1007/978-3-031-57996-7_57

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