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Applied simulation and optimizationi...

Mota, Idalia Flores de la.

Applied simulation and optimizationin logistics, industrial and aeronautical practice /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Applied simulation and optimizationedited by Miguel Mujica Mota, Idalia Flores De La Mota, Daniel Guimarans Serrano.
Reminder of title:	in logistics, industrial and aeronautical practice /
other author:	Mota, Miguel Mujica.
Published:	Cham :Springer International Publishing :2015.
Description:	xv, 319 p. :ill., digital ;24 cm.
Contained By:	Springer eBooks
Subject:	Simulation methods.
Online resource:	http://dx.doi.org/10.1007/978-3-319-15033-8
ISBN:	9783319150338 (electronic bk.)

Applied simulation and optimizationin 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. - Cham :Springer International Publishing :2015. - xv, 319 p. :ill., digital ;24 cm.

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 (electronic bk.)

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

185954
Simulation methods.

LC Class. No.: T57.62

Dewey Class. No.: 003.3

Applied simulation and optimizationin logistics, industrial and aeronautical practice /
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245 0 0 $a Applied simulation and optimization $h [electronic resource] : $b in logistics, industrial and aeronautical practice / $c edited by Miguel Mujica Mota, Idalia Flores De La Mota, Daniel Guimarans Serrano.
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505 0 $a 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.
520 $a 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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