Applied Simulation And Optimization: In Logistics, Industrial And Aeronautical Practice by Miguel Mujica MotaApplied Simulation And Optimization: In Logistics, Industrial And Aeronautical Practice by Miguel Mujica Mota

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

byMiguel Mujica MotaEditorIdalia Flores De La Mota, Daniel Guimarans Serrano

Paperback | October 6, 2016

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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.

Miguel Mujica Mota is a researcher and lecturer at the Aviation Academy of the Amsterdam University of Applied Sciences in the Netherlands. He was previously the sub director of the aviation studies at the Autonomous University of Barcelona. He has a PhD and a MSc. in industrial informatics from the Autonomous University of Barcelona a...
Title:Applied Simulation And Optimization: In Logistics, Industrial And Aeronautical PracticeFormat:PaperbackDimensions:319 pages, 23.5 × 15.5 × 1.73 inPublished:October 6, 2016Publisher:Springer-Verlag/Sci-Tech/TradeLanguage:English

The following ISBNs are associated with this title:

ISBN - 10:3319357077

ISBN - 13:9783319357072

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Table of Contents

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.