國立虎尾科技大學 |

Smart Urban Logistics = Improving Delivery Services by Computational Intelligence /

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	Smart Urban Logistics/ by Jhonny Pincay Nieves.
其他題名:	Improving Delivery Services by Computational Intelligence /
作者:	Pincay Nieves, Jhonny.
面頁冊數:	XXIII, 170 p. 1 illus.online resource. :
Contained By:	Springer Nature eBook
標題:	Business information services. -
電子資源:	https://doi.org/10.1007/978-3-031-16704-1
ISBN:	9783031167041

Smart Urban Logistics = Improving Delivery Services by Computational Intelligence /
Pincay Nieves, Jhonny.

Smart Urban LogisticsImproving Delivery Services by Computational Intelligence /[electronic resource] :by Jhonny Pincay Nieves. - 1st ed. 2022. - XXIII, 170 p. 1 illus.online resource. - Fuzzy Management Methods,2196-4149. - Fuzzy Management Methods,.

Part I. Motivation & Objectives -- Chapter 1. Introduction -- Part II. Theoretical Background -- Chapter 2. Insights into Smart Cities and Smart Logistics -- Chapter 3. Computational Intelligence -- Part III. Applications -- Chapter 4. Fuzzifying Geospatial Traffic Data to Convey Information -- Chapter 5. Ethical Classification of Postal Customers -- Part IV. Framework and Implementation -- Chapter 6. The Fuzzy Ant Routing (FAR) Conceptual Framework -- Chapter 7. The FAR Artifact -- Part V. Conclusions -- Chapter 8. Outlook and Conclusions.

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.

ISBN: 9783031167041

Standard No.: 10.1007/978-3-031-16704-1doiSubjects--Topical Terms:

654161
Business information services.

LC Class. No.: HF54.5-.56

Dewey Class. No.: 658.4038

Smart Urban Logistics = Improving Delivery Services by Computational Intelligence /
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