Pincay Nieves

Smart Urban Logistics

Improving Delivery Services by Computational Intelligence

Springer

ISBN 978-3-031-16706-5

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Bibliografische Daten

Fachbuch

Buch. Softcover

2023

1 s/w-Abbildung, Bibliographien.

In englischer Sprache

Umfang: xxiii, 170 S.

Format (B x L): 15,5 x 23,5 cm

Gewicht: 308

Verlag: Springer

ISBN: 978-3-031-16706-5

Weiterführende bibliografische Daten

Das Werk ist Teil der Reihe: Fuzzy Management Methods

Produktbeschreibung

Last-mile delivery in cities, where the main problems are the traffic situation and ensuring access to customers’ homes while maintaining their privacy, poses a substantial logistical challenge. This book explores how the service area of mobility, especially last-mile delivery, can be improved and smartified. It demonstrates how a design science method and a transdisciplinary approach have been used to create a traffic area analysis tool that can accommodate the uncertainty and incompleteness of geospatial data; a linguistic traffic merging tool; and a customer classifier. In terms of developing the optimization artifacts, the socio-economic and logistical aspects of cities were considered and fuzzy logic and nature-inspired swarm intelligence (fuzzy ant colony optimization) were applied as basic principles. Pursuing a transdisciplinary approach, the book offers both practical know-how from the industry and theoretical findings, making it a valuable asset for researchers and practitioners in the fields of mobility and logistics.

Autorinnen und Autoren

Kundeninformationen

Offers an interdisciplinary view on smart cities, fuzzy logic, and swarm intelligence Bridges the gap between theory and practice for urban logistics Focuses on the improvement of last-mile delivery

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