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

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 m...

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Bibliographic Details
Corporate Author: SpringerLink (Online service)
Other Authors: Mujica Mota, Miguel (Editor), De La Mota, Idalia Flores (Editor), Guimarans Serrano, Daniel (Editor)
Format: Electronic eBook
Language:English
Published: Cham : Springer International Publishing : Imprint: Springer, 2015.
Subjects:
Online Access:Full Text via HEAL-Link
Description
Summary: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.
Physical Description:XV, 319 p. 138 illus., 80 illus. in color. online resource.
ISBN:9783319150338