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Smart Urban Logistics

Smart Urban Logistics : Improving Delivery Services by Computational Intelligence.

・ISBN 978-3-031-16703-4 hard EUR 149.99

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お気に入り
著者・編者Pincay Nieves, Jhonny,
シリーズFuzzy Management Methods
出版社(Springer, GW)
出版年月2022.12
ページ数210 pp.
言語ENG
ニュース番号<688-471 688-987>

解説

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.