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Titlebook: Applied Simulation and Optimization 2; New Applications in Miguel Mujica Mota,Idalia Flores De La Mota Book 2017 Springer International Pu

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發(fā)表于 2025-3-21 16:55:49 | 只看該作者 |倒序瀏覽 |閱讀模式
期刊全稱Applied Simulation and Optimization 2
期刊簡稱New Applications in
影響因子2023Miguel Mujica Mota,Idalia Flores De La Mota
視頻videohttp://file.papertrans.cn/161/160136/160136.mp4
發(fā)行地址Presents techniques, case-studies, and methodologies that combine the use of simulation approaches with optimization techniques for problems in manufacturing, logistics, or aeronautical problems.Serve
圖書封面Titlebook: Applied Simulation and Optimization 2; New Applications in  Miguel Mujica Mota,Idalia Flores De La Mota Book 2017 Springer International Pu
影響因子.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 explore
Pindex Book 2017
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Airport Ground Crew Scheduling Using Heuristics and Simulationnd equipment scheduling solutions are vital for efficient operation of an airport as a system. Many general solutions for fleet scheduling are available; however, there is a lack of scheduling solutions for airport ground crews, especially for work groups with overlapping skills. In the presented ca
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Optimization of Take-Off Runway Sequences for Airports Under a CDM Frameworkelays generated is becoming a necessity. This chapter presents a new departure sequencing algorithm based on operation research methods in the context of the CDM implementation over the European airports. This algorithm is described and results and benefits are demonstrated using data from Paris Cha
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Optimization and Simulation of Fuel Distribution. Case Study: Mexico Cityn of Mexico City is assessed. A mathematical programming model was developed to allow for fuel dispatch truck allocation, minimizing the total distribution cost. Heuristics were used to solve the model and different simulation scenarios were applied to do what-if analysis to be able to decide on dif
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in manufacturing, logistics, or aeronautical problems.Serve.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. Th
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