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Smart urban logistics = improving de...

Pincay Nieves, Jhonny.

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Smart urban logistics = improving delivery services by computational intelligence /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Smart urban logistics/ by Jhonny Pincay Nieves.
Reminder of title:	improving delivery services by computational intelligence /
Author:	Pincay Nieves, Jhonny.
Published:	Cham :Springer International Publishing : : 2022.,
Description:	xxiii, 170 p. :ill., digital ;24 cm.
[NT 15003449]:	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.
Contained By:	Springer Nature eBook
Subject:	Delivery of goods - Data processing. -
Online resource:	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. - Cham :Springer International Publishing :2022. - xxiii, 170 p. :ill., digital ;24 cm. - 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:

3608528
Delivery of goods
--Data processing.

LC Class. No.: HF5773.D3

Dewey Class. No.: 388.0440687

Smart urban logistics = improving delivery services by computational intelligence /
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505 0 $a 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.
520 $a 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.
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