Applied Simulation and Optimization 2: New Applications in Logistics, Industrial and Aeronautical Practice
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ISBN 10: 3319857541 ISBN 13: 9783319857541
Editorial: Springer, 2018
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Descripción
Descripción:
2018. Paperback. . . . . . Books ship from the US and Ireland. N° de ref. del artículo V9783319857541
Sinopsis:
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.
Acerca del autor:
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.
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Título: Applied Simulation and Optimization 2: New ...
Editorial: Springer
Año de publicación: 2018
Encuadernación: Encuadernación de tapa blanda
Condición: New
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Applied Simulation and Optimization 2 | New Applications in Logistics, Industrial and Aeronautical Practice
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Taschenbuch. Condición: Neu. Applied Simulation and Optimization 2 | New Applications in Logistics, Industrial and Aeronautical Practice | Idalia Flores De La Mota (u. a.) | Taschenbuch | xiv | Englisch | 2018 | Springer International Publishing | EAN 9783319857541 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu Print on Demand. Nº de ref. del artículo: 114239005
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Taschenbuch. Condición: Neu. Neuware -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.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 296 pp. Englisch. Nº de ref. del artículo: 9783319857541
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Applied Simulation and Optimization 2 : New Applications in Logistics, Industrial and Aeronautical Practice
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ISBN 10: 3319857541
ISBN 13: 9783319857541
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Taschenbuch. Condición: Neu. Druck auf Anfrage Neuware - Printed after ordering - Building on the author's earlierApplied 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 asa comprehensive guide to tacklingscheduling, 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. Nº de ref. del artículo: 9783319857541
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