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  • © 2020

Modeling and Optimization in Green Logistics

  • Efficient route design and transportation are fundamental in green logistics

  • Heuristics and metaheuristics solutions are motivated by impact on the environment and human health

  • Valuable for researchers and postgraduate students in computer science, information technology, industrial engineering, and applied mathematics

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Table of contents (8 chapters)

  1. Front Matter

    Pages i-xiv
  2. The Green-Vehicle Routing Problem: A Survey

    • Giusy Macrina, Luigi Di Puglia Pugliese, Francesca Guerriero
    Pages 1-26
  3. An Integrated Location-Inventory Routing Problem for ATMs in Banking Industry: A Green Approach

    • Nader Nazari-Ganje, S. Mohammad J. Mirzapour Al-E Hashem
    Pages 27-52
  4. Modelling a Future Routing Concept for the Urban Air Mobility

    • Moritz Hildemann, Carlos Delgado
    Pages 53-73
  5. Routing Electric Vehicles with Remote Servicing

    • Rafael Kendy Arakaki, Lucas Porto Maziero, Matheus Diógenes Andrade, Vitor Mitsuo Fukushigue Hama, Fábio Luiz Usberti
    Pages 147-168

About this book

This book presents recent work that analyzes general issues of green logistics and smart cities. The contributed chapters consider operating models with important ecological, economic, and social objectives.

The content will be valuable for researchers and postgraduate students in computer science, information technology, industrial engineering, and applied mathematics.

Editors and Affiliations

  • Department of Quantitative Methods and CS, University of Carthage, Nabeul, Tunisia

    Houda Derbel

  • Department of Business, Higher Colleges of Technology, Abu Dhabi, United Arab Emirates

    Bassem Jarboui

  • Laboratoire LiSSi (EA 3956), Université Paris-Est Créteil, Créteil, France

    Patrick Siarry

Bibliographic Information

  • Book Title: Modeling and Optimization in Green Logistics

  • Editors: Houda Derbel, Bassem Jarboui, Patrick Siarry

  • DOI: https://doi.org/10.1007/978-3-030-45308-4

  • Publisher: Springer Cham

  • eBook Packages: Computer Science, Computer Science (R0)

  • Copyright Information: Springer Nature Switzerland AG 2020

  • Hardcover ISBN: 978-3-030-45307-7Published: 02 December 2020

  • Softcover ISBN: 978-3-030-45310-7Published: 03 December 2021

  • eBook ISBN: 978-3-030-45308-4Published: 01 December 2020

  • Edition Number: 1

  • Number of Pages: XIV, 168

  • Number of Illustrations: 4 b/w illustrations, 32 illustrations in colour

  • Topics: Artificial Intelligence, Computational Intelligence, Operations Research/Decision Theory

Buy it now

Buying options

eBook USD 119.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book USD 159.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book USD 159.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Other ways to access