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Applied simulation and optimization: in logistics, industrial and aeronautical practice

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 m...

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Detalles Bibliográficos
Autores principales: Mota, Miguel, Mota, Idalia, Serrano, Daniel
Lenguaje:eng
Publicado: Springer 2015
Materias:
Acceso en línea:https://dx.doi.org/10.1007/978-3-319-15033-8
http://cds.cern.ch/record/2015359
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author Mota, Miguel
Mota, Idalia
Serrano, Daniel
author_facet Mota, Miguel
Mota, Idalia
Serrano, Daniel
author_sort Mota, Miguel
collection CERN
description 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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institution Organización Europea para la Investigación Nuclear
language eng
publishDate 2015
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spelling cern-20153592021-04-21T20:19:12Zdoi:10.1007/978-3-319-15033-8http://cds.cern.ch/record/2015359engMota, MiguelMota, IdaliaSerrano, DanielApplied simulation and optimization: in logistics, industrial and aeronautical practiceMathematical Physics and MathematicsPresenting 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.Springeroai:cds.cern.ch:20153592015
spellingShingle Mathematical Physics and Mathematics
Mota, Miguel
Mota, Idalia
Serrano, Daniel
Applied simulation and optimization: in logistics, industrial and aeronautical practice
title Applied simulation and optimization: in logistics, industrial and aeronautical practice
title_full Applied simulation and optimization: in logistics, industrial and aeronautical practice
title_fullStr Applied simulation and optimization: in logistics, industrial and aeronautical practice
title_full_unstemmed Applied simulation and optimization: in logistics, industrial and aeronautical practice
title_short Applied simulation and optimization: in logistics, industrial and aeronautical practice
title_sort applied simulation and optimization: in logistics, industrial and aeronautical practice
topic Mathematical Physics and Mathematics
url https://dx.doi.org/10.1007/978-3-319-15033-8
http://cds.cern.ch/record/2015359
work_keys_str_mv AT motamiguel appliedsimulationandoptimizationinlogisticsindustrialandaeronauticalpractice
AT motaidalia appliedsimulationandoptimizationinlogisticsindustrialandaeronauticalpractice
AT serranodaniel appliedsimulationandoptimizationinlogisticsindustrialandaeronauticalpractice