Bitte verwenden Sie diesen Link, um diese Publikation zu zitieren, oder auf sie als Internetquelle zu verweisen: https://hdl.handle.net/10419/325205 
Erscheinungsjahr: 
2024
Quellenangabe: 
[Journal:] EURO Journal on Transportation and Logistics (EJTL) [ISSN:] 2192-4384 [Volume:] 13 [Issue:] 1 [Article No.:] 100127 [Year:] 2024 [Pages:] 1-12
Verlag: 
Elsevier, Amsterdam
Zusammenfassung: 
The last mile delivery is particularly challenging for stochastic deliveries with narrow time windows. This topic is timely due to the rise of e-commerce and courier type services and the impacts of fleet size and vehicle type on delivery costs. A novel contribution of this research is to provide an optimization approach, extending the newsvendor model, to provide an optimal drone fleet sizing solution with stochastic demand in terms of number of deliveries and deliveries weight or payload from one central depot. The solutions obtained are robust, as shown in a comprehensive sensitivity analysis.
Schlagwörter: 
Drone
Fleet sizing
Stochastic demand
Optimization
Persistent Identifier der Erstveröffentlichung: 
Creative-Commons-Lizenz: 
cc-by-nc-nd Logo
Dokumentart: 
Article

Datei(en):
Datei
Größe
3.51 MB





Publikationen in EconStor sind urheberrechtlich geschützt.