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

Record Type:	Language materials, printed : Monograph/item
Title/Author:	Applied Simulation and Optimization/ edited by Miguel Mujica Mota, Idalia Flores De La Mota, Daniel Guimarans Serrano.
Reminder of title:	In Logistics, Industrial and Aeronautical Practice /
other author:	Mujica Mota, Miguel.
Description:	XV, 319 p. 138 illus., 80 illus. in color.online resource. :
Contained By:	Springer Nature eBook
Subject:	Computer mathematics. -
Online resource:	https://doi.org/10.1007/978-3-319-15033-8
ISBN:	9783319150338

Applied Simulation and Optimization = In Logistics, Industrial and Aeronautical Practice /
Applied Simulation and OptimizationIn Logistics, Industrial and Aeronautical Practice /[electronic resource] :edited by Miguel Mujica Mota, Idalia Flores De La Mota, Daniel Guimarans Serrano. - 1st ed. 2015. - XV, 319 p. 138 illus., 80 illus. in color.online resource.

Simulation-based Optimization with HeuristicLab: Practical Guidelines and Real World Applications -- Simulation Optimization Approach to solve a complex multiobjective redundancy allocation problem -- OR AND SIMULATION IN COMBINATION FOR OPTIMIZATION -- Tree Search and Simulation -- Integrated solutions for delivery planning and scheduling in distribution centres -- Large Neighbourhood Search and Simulation for Disruption Management in the Airline Industry -- Allocation of Airport check–in counters using a Simulation–Optimization Approach -- Simulation and Optimization of the Pre-hospital Care System of the National University of Mexico -- Simulation Based Optimization Using Greedy Techniques and Simulated Annealing for Optimal Equipment Selection within Print Production Environments -- Linear Bus Holding Model for Real Time Traffic Network Control.

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.

ISBN: 9783319150338

Standard No.: 10.1007/978-3-319-15033-8doiSubjects--Topical Terms:

1199796
Computer mathematics.

LC Class. No.: QA71-90

Dewey Class. No.: 004

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