Applied Simulation and Optimization - In Logistics, Industrial and Aeronautical Practice (Hardcover, 2015 ed.)

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.

General

Imprint:	Springer International Publishing AG
Country of origin:	Switzerland
Release date:	April 2015
First published:	2015
Editors:	Miguel Mujica Mota • Idalia Flores De La Mota • Daniel Guimarans Serrano
Dimensions:	235 x 155 x 19mm (L x W x T)
Format:	Hardcover - Cloth over boards
Pages:	319
Edition:	2015 ed.
ISBN-13:	978-3-319-15032-1
Categories:	Books > Science & Mathematics > Mathematics > Applied mathematics > Mathematics for scientists & engineers Books > Science & Mathematics > Mathematics > Applied mathematics > Mathematical modelling Books > Professional & Technical > Mechanical engineering & materials > Production engineering > General
LSN:	3-319-15032-4
Barcode:	9783319150321

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