书目名称 | Dynamic and Stochastic Multi-Project Planning |
编辑 | Philipp Melchiors |
视频video | http://file.papertrans.cn/284/283812/283812.mp4 |
概述 | Introduces new analytical models for optimal multi-project management based on decision rules in dynamic-stochastic environments.Presents new insights into the structure of optimal policies.Describes |
丛书名称 | Lecture Notes in Economics and Mathematical Systems |
图书封面 |  |
描述 | This book deals with dynamic and stochastic methods for multi-project planning. Based on the idea of using queueing networks for the analysis of dynamic-stochastic multi-project environments this book addresses two problems: detailed scheduling of project activities, and integrated order acceptance and capacity planning. In an extensive simulation study, the book thoroughly investigates existing scheduling policies. To obtain optimal and near optimal scheduling policies new models and algorithms are proposed based on the theory of Markov decision processes and Approximate Dynamic programming. Then the book presents a new model for the effective computation of optimal policies based on a Markov decision process. Finally, the book provides insights into the structure of optimal policies. |
出版日期 | Book 2015 |
关键词 | Capacity planning; Markov decision processes; Project planning; Scheduling; Simulation |
版次 | 1 |
doi | https://doi.org/10.1007/978-3-319-04540-5 |
isbn_softcover | 978-3-319-04539-9 |
isbn_ebook | 978-3-319-04540-5Series ISSN 0075-8442 Series E-ISSN 2196-9957 |
issn_series | 0075-8442 |
copyright | Springer International Publishing Switzerland 2015 |