Applied Simulation and Optimization 2
New Applications in Logistics, Industrial and Aeronautical Practice
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Beschreibung
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 theoptimization 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.
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 theoptimization 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.
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 Includes supplementary material: sn.pub/extras
Autor*in
Miguel Mujica Mota
Themen in »Applied Simulation and Optimization 2«
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
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“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)
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