| 书目名称 | Smart Urban Logistics |
| 副标题 | Improving Delivery S |
| 编辑 | Jhonny Pincay Nieves |
| 视频video | http://file.papertrans.cn/870/869061/869061.mp4 |
| 概述 | 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 |
| 丛书名称 | Fuzzy Management Methods |
| 图书封面 |  |
| 描述 | 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.. |
| 出版日期 | Book 2022 |
| 关键词 | Smart logistics; Last-mile delivery; Fuzzy logic; Swarm intelligence; Smart cities; Digital ethics |
| 版次 | 1 |
| doi | https://doi.org/10.1007/978-3-031-16704-1 |
| isbn_softcover | 978-3-031-16706-5 |
| isbn_ebook | 978-3-031-16704-1Series ISSN 2196-4130 Series E-ISSN 2196-4149 |
| issn_series | 2196-4130 |
| copyright | The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl |
|Archiver|手机版|小黑屋|
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