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Stochastic Modeling and Analysis of Manufacturing Systems (Springer Series in Operations Research and Financial Engineering) - Tapa dura
Sinopsis
These include: Jackson networks, fluid models, diffusion and strong approximations, the GSMP framework, stochastic convexity and majorization, perturbation analysis, scheduling via Brownian models, and re-entrant lines and dynamic scheduling.
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Críticas
"This is a very well-written book, providing a good balance between modeling and mathematical rigor....I enjoyed reading this book and will undoubtedly use it myself; I would also highly recommend it to my graduate students." - Technometrics
Reseña del editor
Manufacturing systems have become increasingly complex over recent years. This volume presents a collection of chapters which reflect the recent developments of probabilistic models and methodologies that have either been motivated by manufacturing systems research or been demonstrated to have significant potential in such research.
The editor has invited a number of leading experts to present detailed expositions of specific topics. These include: Jackson networks, fluid models, diffusion and strong approximations, the GSMP framework, stochastic convexity and majorization, perturbation analysis, scheduling via Brownian models, and re-entrant lines and dynamic scheduling. Each chapter has been written with graduate students in mind, and several have been used in graduate courses that teach the modeling and analysis of manufacturing systems.
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Stochastic Modeling and Analysis of Manufacturing Systems (Springer Series in Operations Research and Financial Engineering)
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Stochastic Modeling and Analysis of Manufacturing Systems (Springer Series in Operations Research and Financial Engineering)
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