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Book synopsis

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.

Book details

Book category Books in English Mathematics & science Science: general issues Maths for scientists

• Full title: Applied Simulation and Optimization
• Subtitle: In Logistics, Industrial and Aeronautical Practice
• Author: Idalia Flores De La Mota, Daniel Guimarans Serrano, Miguel Mujica Mota
• Language: English
• Binding: Paperback
• Number of pages: 319
• EAN: 9783319357072
• ISBN: 3319357077
• ID: 15193500
• Publisher: Springer International Publishing AG
• Weight: 5095 g
• Dimensions: 235 × 155 × 19 mm
• Date of publishing: 06. October 2016

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