© 2017

Applied Simulation and Optimization 2

New Applications in Logistics, Industrial and Aeronautical Practice

  • Miguel Mujica Mota
  • Idalia Flores De La Mota
  • Presents techniques, case-studies, and methodologies that combine the use of simulation approaches with optimization techniques for problems in manufacturing, logistics, or aeronautical problems

  • Serves as a comprehensive guide for tackling scheduling, routing problems, and resource allocations, among others, in industrial environments

  • Discusses the simulation-optimization approach, which is useful for teaching and research purposes in different areas


Table of contents

  1. Front Matter
    Pages i-xiv
  2. Novel Tools and Techniques in Simulation Optimization

    1. Front Matter
      Pages 1-1
    2. Jennie Lioris, Alexander Kurzhanskiy, Pravin Varaiya
      Pages 3-41
  3. Simulation Optimization Study Cases

    1. Front Matter
      Pages 107-107
    2. Blaž Rodič, Alenka Baggia
      Pages 131-160
    3. Guillermo Becerra, Luis Alvarez-Icaza, Idalia Flores De La Mota, Jose Luis Mendoza-Soto
      Pages 185-224
    4. Ann Wellens, Esther Segura Pérez, Daniel Tello Gaete, Wulfrano Gómez Gallardo
      Pages 249-282

About this book


Building on the author’s earlier Applied Simulation and Optimization, this book presents novel methods for solving problems in industry, based on hybrid simulation-optimization approaches that combine the advantages of both paradigms. The book serves as a comprehensive guide to tackling scheduling, routing problems, resource allocations and other issues in industrial environments, the service industry, production processes, or supply chains and aviation. Logistics, manufacturing and operational problems can either be modelled using optimization techniques or approaches based on simulation methodologies. Optimization techniques have the advantage of performing efficiently when the problems are properly defined, but they are often developed through rigid representations that do not include or accurately represent the stochasticity inherent in real systems. Furthermore, important information is lost during the abstraction process to fit each problem into the optimization technique. On the other hand, simulation approaches possess high description levels, but the optimization is generally performed through sampling of all the possible configurations of the system. The methods explored in this book are of use to researchers and practising engineers in fields ranging from supply chains to the aviation industry.



Manufacturing Problems Optimization technique for Industry Simulation Approach for Industry Simulation-Optimization Approach for Aeronautical Operations Simulation-Optimization Approach for Industry Simulation-Optimization for Logistics

Editors and affiliations

  • Miguel Mujica Mota
    • 1
  • Idalia Flores De La Mota
    • 2
  1. 1.School of TechnologyAmsterdam University of Applied SciencesAmsterdam, North HollandThe Netherlands
  2. 2.Facultad de IngenieríaUniversidad Nacional Autónoma de MéxicoMexico CityMexico

About the editors

Miguel Mujica Mota is an associate professor at the Aviation Academy of the Amsterdam University of Applied Sciences in the Netherlands. He was previously the sub director of Aviation Studies at the Autonomous University of Barcelona. He holds a PhD in industrial informatics from the Autonomous University of Barcelona and a PhD in operations research from the National University of Mexico, all obtained with the highest honors.

Dr. Mota has given several courses in modelling, simulation methodologies and optimization for industrial and academic audiences in different countries. He has participated in several international projects in which simulation and optimization were the key factors for their success.

Dr. Mota has been awarded the Level I of the Mexican National Council of Science and Technology where he also participates as a scientific evaluator for Latin America. He is the co-author of three books and numerous papers on simulation, operations research, aviation, manufacturing and logistics. His research interests focus on the use of simulation, modelling formalisms and heuristics for the optimization and performance analysis of aeronautical operations, manufacture and logistics.

Bibliographic information

Industry Sectors
IT & Software
Energy, Utilities & Environment
Oil, Gas & Geosciences


“Each chapter has a comprehensive list of references, a discussion on status, and suggestions for future work. In general, all chapters are easy to read. This collection would be of interest to industrial operations analysts and researchers in industrial process simulation.” (Computing Reviews, February, 2018)