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Applied Simulation and Optimization: In Logistics, Industrial and Aeronautical Practice

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Presenting techniques, case-studies and methodologies that combine the use of simulation approaches with optimization techniques for facing problems in manufacturing, logistics, or aeronautical problems, this book provides solutions to common industrial problems in several fields, which range from manufacturing to aviation problems, where the common denominator is the combination of simulation’s flexibility with optimization techniques’ robustness.

Providing readers with a comprehensive guide to tackle similar issues in industrial environments, this text explores novel ways to face industrial problems through hybrid approaches (simulation-optimization) that benefit from the advantages of both paradigms, in order to give solutions to important problems in service industry, production processes, or supply chains, such as scheduling, routing problems and resource allocations, among others.

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Series Title

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Call Number

621.39 APP a

Publisher

Cham, Switzerland : Springer Cham., 2015

Collation

XV, 319

Language

English

ISBN/ISSN

978-3-319-15033-8

Classification

621.39

Content Type

text

Media Type

computer

Carrier Type

online resource

Edition

Ed. 1

Subject(s)

Computational Science and Engineering
Mathematical and Computational Engineering

Specific Detail Info

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Statement of Responsibility

Editor: Miguel Mujica Mota, Idalia Flores De La Mota, Daniel Guimarans Serrano

Other Information

Cataloger

umi

Source

https://link.springer.com/content/pdf/10.1007/978-3-319-15033-8.pdf?pdf=button

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