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Modeling and Optimization in Green Logistics / edited by Houda Derbel, Bassem Jarboui, Patrick Siarry.
- Format:
- Book
- Series:
- Computer Science (SpringerNature-11645)
- Language:
- English
- Subjects (All):
- Artificial intelligence.
- Computational intelligence.
- Operations research.
- Artificial Intelligence.
- Computational Intelligence.
- Operations Research and Decision Theory.
- Local Subjects:
- Artificial Intelligence.
- Computational Intelligence.
- Operations Research and Decision Theory.
- Physical Description:
- 1 online resource (XIV, 168 pages) : 36 illustrations, 32 illustrations in color.
- Edition:
- 1st ed. 2020.
- Contained In:
- Springer Nature eBook
- Place of Publication:
- Cham : Springer International Publishing : Imprint: Springer, 2020.
- System Details:
- text file PDF
- Summary:
- 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.
- Contents:
- The Green-Vehicle Routing Problem: A Survey
- An Integrated Location-Inventory Routing Problem for ATMs in Banking Industry: A Green Approach
- Modelling a Future Routing Concept for Urban Air Mobility
- Putting the SC in SCORE: Solar Car Optimized Route Estimation and Smart Cities
- Evaluation and Prioritisation of Green Logistics and Transportation Practices Used in the Freight Transport Industry
- A Novel Hybrid Multi-objective Optimization Approach for Sustainable Delivery Systems with A Case Study in Izmir
- When Green Technology Meets Optimization Modelling: The Case of Routing Drones in Logistics, Agriculture and Healthcare
- Routing Electric Vehicles with Remote Servicing.
- Other Format:
- Printed edition:
- ISBN:
- 978-3-030-45308-4
- 9783030453084
- Access Restriction:
- Restricted for use by site license.
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