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

Mujica Mota, Miguel; De La Mota, Idalia Flores; Guimarans Serrano, Daniel

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.

Details

Published by: Springer

Publication Date: 2016-10-06

Format: Paperback

ISBN-13: 9783319357072

DOI: 10.1007/978-3-319-15033-8

Dimensions: 235cm x155cm

Pages: 319