Automated Delivery Robots: A Vehicle Routing Problem on last mile delivery cost per unit based on range and carrying capacity

Perrinaud Corentin; Adriana Saraceni

doi:10.1016/j.ifacol.2022.09.378

Automated Delivery Robots: A Vehicle Routing Problem on last mile delivery cost per unit based on range and carrying capacity

Perrinaud Corentin, Adriana Saraceni^*

^*Corresponding author for this work

Research output: Contribution to journal › Article › Academic › peer-review

Abstract

In recent years, LMD has risen in volume and complexity, prompting innovations in robotics technologies proposing ADRs as a viable solution. This research develops a VRP to assess how the maximum driving range and the number of compartments of ADRs, impacts LMD costs per unit in urban areas. The findings show that fewer compartments or a lower range for the ADRs decrease LMD cost per unit. The methodology and models developed can be used by logistics companies to make purchasing decisions for their delivery fleet or as a tool to simulate LMD costs when varying vehicle characteristics.

Original language	English
Pages (from-to)	121-126
Number of pages	6
Journal	IFAC-PapersOnLine
Volume	55
Issue number	10
DOIs	https://doi.org/10.1016/j.ifacol.2022.09.378
Publication status	Published - Oct 2022

Keywords

last-mile delivery
VRP
automation
robotization
autonomous delivery robots

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10.1016/j.ifacol.2022.09.378Licence: CC BY-NC-ND

https://www.sciencedirect.com/science/article/pii/S2405896322016494

Cite this

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title = "Automated Delivery Robots: A Vehicle Routing Problem on last mile delivery cost per unit based on range and carrying capacity",

abstract = "In recent years, LMD has risen in volume and complexity, prompting innovations in robotics technologies proposing ADRs as a viable solution. This research develops a VRP to assess how the maximum driving range and the number of compartments of ADRs, impacts LMD costs per unit in urban areas. The findings show that fewer compartments or a lower range for the ADRs decrease LMD cost per unit. The methodology and models developed can be used by logistics companies to make purchasing decisions for their delivery fleet or as a tool to simulate LMD costs when varying vehicle characteristics.",

keywords = "last-mile delivery, VRP, automation, robotization, autonomous delivery robots",

author = "Perrinaud Corentin and Adriana Saraceni",

note = "data source: instances dataset proposed by Solomon (1987) as input, namely: C101, C201, R101, RC101, and instances with 25, 50 and 100 customers. Both models run using each customer level, making a total of 12 Solomon instances, 4 unique instances each with 3 levels of customers. ",

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AU - Saraceni, Adriana

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N2 - In recent years, LMD has risen in volume and complexity, prompting innovations in robotics technologies proposing ADRs as a viable solution. This research develops a VRP to assess how the maximum driving range and the number of compartments of ADRs, impacts LMD costs per unit in urban areas. The findings show that fewer compartments or a lower range for the ADRs decrease LMD cost per unit. The methodology and models developed can be used by logistics companies to make purchasing decisions for their delivery fleet or as a tool to simulate LMD costs when varying vehicle characteristics.

AB - In recent years, LMD has risen in volume and complexity, prompting innovations in robotics technologies proposing ADRs as a viable solution. This research develops a VRP to assess how the maximum driving range and the number of compartments of ADRs, impacts LMD costs per unit in urban areas. The findings show that fewer compartments or a lower range for the ADRs decrease LMD cost per unit. The methodology and models developed can be used by logistics companies to make purchasing decisions for their delivery fleet or as a tool to simulate LMD costs when varying vehicle characteristics.

KW - last-mile delivery

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KW - automation

KW - robotization

KW - autonomous delivery robots

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