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Smart urban logistics = improving de...
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Pincay Nieves, Jhonny.
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Smart urban logistics = improving delivery services by computational intelligence /
紀錄類型:
書目-電子資源 : 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.
出版者:
Cham :Springer International Publishing : : 2022.,
面頁冊數:
xxiii, 170 p. :ill., digital ;24 cm.
內容註:
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
標題:
Delivery of goods - Data processing. -
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 logistics
improving 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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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.
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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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