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Applied Simulation and Optimization 2

New Applications in Logistics, Industrial and Aeronautical Practice

  • Miguel Mujica Mota
  • Idalia Flores De La Mota

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

Introduction

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.

 

Keywords

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

Bibliographic information

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