@article{726444,
      author = {Mujica Mota, Miguel, and Mota, Idalia Flores de la, and  Guimarans Serrano, Daniel,},
      url = {http://library.usi.edu/record/726444},
      title = {Applied simulation and optimization in logistics,  industrial and aeronautical practice / [electronic  resource] :},
      abstract = {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.},
      doi = {https://doi.org/10.1007/978-3-319-15033-8},
      recid = {726444},
      pages = {1 online resource :},
}