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Smart Urban Logistics : Improving Delivery Services by Computational Intelligence.
・ISBN 978-3-031-16703-4 hard EUR 149.99
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| 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.