| 书目名称 | Stochastic Modeling and Analysis of Manufacturing Systems |
| 编辑 | David D. Yao |
| 视频video | |
| 丛书名称 | Springer Series in Operations Research and Financial Engineering |
| 图书封面 |  |
| 描述 | 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. . |
| 出版日期 | Textbook 1994 |
| 关键词 | Manufacturing; Manufacturing System; Manufacturing Systems; Markov Chain; Probability Models; Stochastic |
| 版次 | 1 |
| doi | https://doi.org/10.1007/978-1-4612-2670-3 |
| isbn_softcover | 978-1-4612-7628-9 |
| isbn_ebook | 978-1-4612-2670-3Series ISSN 1431-8598 Series E-ISSN 2197-1773 |
| issn_series | 1431-8598 |
| copyright | Springer Science+Business Media New York 1994 |
发表于 2025-3-21 17:45:44
