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Applied Simulation and Optimization : In Logistics, Industrial and Aeronautical Practice / edited by Miguel Mujica Mota, Idalia Flores De La Mota, Daniel Guimarans Serrano.

Springer Nature - Springer Mathematics and Statistics eBooks 2015 English International Available online

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Format:
Book
Contributor:
Mujica Mota, Miguel, Editor.
Mota, Idalia Flores de la, Editor.
Guimarans Serrano, Daniel, Editor.
Language:
English
Subjects (All):
Computer science--Mathematics.
Computer science.
Applied mathematics.
Engineering mathematics.
Computer simulation.
Industrial engineering.
Production engineering.
Computational Science and Engineering.
Mathematical and Computational Engineering.
Simulation and Modeling.
Industrial and Production Engineering.
Local Subjects:
Computational Science and Engineering.
Mathematical and Computational Engineering.
Simulation and Modeling.
Industrial and Production Engineering.
Physical Description:
1 online resource (323 p.)
Edition:
1st ed. 2015.
Place of Publication:
Cham : Springer International Publishing : Imprint: Springer, 2015.
Language Note:
English
Summary:
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.
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.
Notes:
Description based upon print version of record.
Includes bibliographical references at the end of each chapters.
ISBN:
3-319-15033-2

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