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Applied Simulation and Optimization - In Logistics, Industrial and Aeronautical Practice (Hardcover, 2015 ed.): Miguel Mujica... Applied Simulation and Optimization - In Logistics, Industrial and Aeronautical Practice (Hardcover, 2015 ed.)
Miguel Mujica Mota, Idalia Flores De La Mota, Daniel Guimarans Serrano
R3,160 R1,989 Discovery Miles 19 890 Save R1,171 (37%) Ships in 10 - 15 working days

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.

Applied Simulation and Optimization - In Logistics, Industrial and Aeronautical Practice (Paperback, Softcover reprint of the... Applied Simulation and Optimization - In Logistics, Industrial and Aeronautical Practice (Paperback, Softcover reprint of the original 1st ed. 2015)
Miguel Mujica Mota, Idalia Flores De La Mota, Daniel Guimarans Serrano
R2,248 Discovery Miles 22 480 Ships in 18 - 22 working days

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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