Please use this identifier to cite or link to this item: http://hdl.handle.net/10125/59594

Autonomous Unmanned Ground Vehicles for Urban Logistics: Optimization of Last Mile Delivery Operations

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Title:Autonomous Unmanned Ground Vehicles for Urban Logistics: Optimization of Last Mile Delivery Operations
Authors:Sonneberg, Marc-Oliver
Leyerer, Max
Kleinschmidt, Agathe
Knigge, Florian
Breitner, Michael H.
Keywords:Intelligent Decision Support and Big Data for Logistics and Supply Chain Management
Decision Analytics, Mobile Services, and Service Science
Autonomous unmanned ground vehicles, delivery robots, design science research, last mile delivery, optimization model.
Date Issued:08 Jan 2019
Abstract:In an era dominated by ongoing urbanization and rising e-commerce, the efficient delivery of goods within cities becomes a major challenge. As a new element of urban logistics, we discuss the potential of autonomous unmanned ground vehicles (AUGV) regarding the last mile delivery of shipments to customers. We propose an optimization model to minimize the delivery costs of urban shipments using AUGV. Simultaneously, best locations from a set of existing stations are selected for AUGV positioning and optimal route determination. With our developed Location Routing Problem, we provide decision support for parcel service providers, city authorities, and other relevant decision makers. Regarding the Green Information Systems domain, we tackle the lack of solution-oriented research addressing a more sustainable and locally emission free supply of goods within urban areas.
Pages/Duration:10 pages
URI/DOI:http://hdl.handle.net/10125/59594
ISBN:978-0-9981331-2-6
Rights:Attribution-NonCommercial-NoDerivatives 4.0 International
https://creativecommons.org/licenses/by-nc-nd/4.0/
Appears in Collections: Intelligent Decision Support and Big Data for Logistics and Supply Chain Management


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