Applied Simulation and Optimization

In Logistics, Industrial and Aeronautical Practice

  • Miguel Mujica Mota
  • Idalia Flores De La Mota
  • Daniel Guimarans Serrano

Table of contents

  1. Front Matter
    Pages i-xv
  2. Tools and Techniques Using SimOpt

    1. Front Matter
      Pages 1-1
    2. Michael Affenzeller, Andreas Beham, Stefan Vonolfen, Erik Pitzer, Stephan M. Winkler, Stephan Hutterer et al.
      Pages 3-38
    3. Carlos Henrique Mariano, Carlo Alessandro Zanetti Pece
      Pages 39-73
    4. Nico M. van Dijk, René Haijema, Erik van der Sluis, Nikky Kortbeek, Assil Al-Ibrahim, Jan van der Wal
      Pages 75-107
    5. João Pedro Pedroso, Rui Rei
      Pages 109-131
  3. Scheduling Problems

    1. Front Matter
      Pages 133-133
    2. Daniel Guimarans, Pol Arias, Miguel Mujica Mota
      Pages 169-201
    3. Miguel Mujica Mota, Catya Zuniga Alcaraz
      Pages 203-229
  4. Transportation Case-Studies

    1. Front Matter
      Pages 231-231
    2. Idalia Flores De La Mota, Alexander Vindel Garduño, Esther Segura Pérez
      Pages 233-276
    3. Leonardo G. Hernández-Landa, Miguel L. Morales-Marroquín, Romeo Sánchez Nigenda, Yasmín Á. Ríos-Solís
      Pages 303-319

About this book


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.


Manufacturing Problems Optimization Technique for Industry Simulation Approach for Industry Simulation-optimization Approach for Aeronautical Operations Simulation-optimization Approach for Industry Simulation-optimization Approach for Logistics

Editors and affiliations

  • Miguel Mujica Mota
    • 1
  • Idalia Flores De La Mota
    • 2
  • Daniel Guimarans Serrano
    • 3
  1. 1.Aviation AcademyAmsterdam University of Applied SciencesAmsterdamThe Netherlands
  2. 2.Facultad de IngenieríaUniversidad Nacional Autónoma de MéxicoMexico CityMexico
  3. 3.Optimisation Research Group, NICTASydneyAustralia

Bibliographic information