Modeling and Optimization in Green Logistics [electronic resource] /

Contributor(s):

Material type: Text

TextPublisher: Cham : Springer International Publishing : Imprint: Springer, 2020Edition: 1st ed. 2020Description: XIV, 168 p. 36 illus., 32 illus. in color. online resourceContent type:

text

Media type:

computer

Carrier type:

online resource

ISBN:

9783030453084

Subject(s):

Additional physical formats: Printed edition:: No title; Printed edition:: No title; Printed edition:: No titleDDC classification:

006.3 23

LOC classification:

Q334-342
TA347.A78

Online resources:

Click here to access online

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.

In: Springer Nature eBookSummary: 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.

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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.

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