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

Sonneberg, Marc-Oliver
Leyerer, Max
Kleinschmidt, Agathe
Knigge, Florian
Breitner, Michael H.
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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.
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.
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