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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2015
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oai:scholar.dlu.edu.vn:DLU123456789-579862023-11-11T05:52:44Z Applied Simulation and Optimization: In Logistics, Industrial and Aeronautical Practice Mujica Mota, Miguel De La Mota, Idalia Flores Guimarans Serrano, Daniel Stochastic processes Mathematical optimization Simulation methods 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. 2015-09-04T07:14:33Z 2015-09-04T07:14:33Z 2015 Book 978-3-319-15033-8 https://scholar.dlu.edu.vn/thuvienso/handle/DLU123456789/57986 en application/pdf Springer |
| institution |
Thư viện Trường Đại học Đà Lạt |
| collection |
Thư viện số |
| language |
English |
| topic |
Stochastic processes Mathematical optimization Simulation methods |
| spellingShingle |
Stochastic processes Mathematical optimization Simulation methods Mujica Mota, Miguel De La Mota, Idalia Flores Guimarans Serrano, Daniel Applied Simulation and Optimization: In Logistics, Industrial and Aeronautical Practice |
| 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. |
| format |
Book |
| author |
Mujica Mota, Miguel De La Mota, Idalia Flores Guimarans Serrano, Daniel |
| author_facet |
Mujica Mota, Miguel De La Mota, Idalia Flores Guimarans Serrano, Daniel |
| author_sort |
Mujica Mota, Miguel |
| title |
Applied Simulation and Optimization:
In Logistics, Industrial and Aeronautical Practice |
| title_short |
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_sort |
applied simulation and optimization:
in logistics, industrial and aeronautical practice |
| publisher |
Springer |
| publishDate |
2015 |
| url |
https://scholar.dlu.edu.vn/thuvienso/handle/DLU123456789/57986 |
| _version_ |
1782543321450676224 |