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Titlebook: Dynamic and Stochastic Multi-Project Planning; Philipp Melchiors Book 2015 Springer International Publishing Switzerland 2015 Capacity pla

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樓主
發(fā)表于 2025-3-21 16:03:38 | 只看該作者 |倒序瀏覽 |閱讀模式
書目名稱Dynamic and Stochastic Multi-Project Planning
編輯Philipp Melchiors
視頻videohttp://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
叢書名稱Lecture Notes in Economics and Mathematical Systems
圖書封面Titlebook: Dynamic and Stochastic Multi-Project Planning;  Philipp Melchiors Book 2015 Springer International Publishing Switzerland 2015 Capacity pla
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
關(guān)鍵詞Capacity planning; Markov decision processes; Project planning; Scheduling; Simulation
版次1
doihttps://doi.org/10.1007/978-3-319-04540-5
isbn_softcover978-3-319-04539-9
isbn_ebook978-3-319-04540-5Series ISSN 0075-8442 Series E-ISSN 2196-9957
issn_series 0075-8442
copyrightSpringer International Publishing Switzerland 2015
The information of publication is updating

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沙發(fā)
發(fā)表于 2025-3-21 22:10:19 | 只看該作者
Book 2015imal 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.
板凳
發(fā)表于 2025-3-22 00:35:20 | 只看該作者
地板
發(fā)表于 2025-3-22 08:22:39 | 只看該作者
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發(fā)表于 2025-3-22 09:32:12 | 只看該作者
Die Konfiguration der Zuckerarten,. As MDPs are in discrete time where transitions have the same deterministic durations many results and methodologies, such as VI, cannot be directly applied to continuous-time Markov decision processes with exponentially distributed transition times.
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發(fā)表于 2025-3-22 15:25:11 | 只看該作者
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發(fā)表于 2025-3-22 18:39:17 | 只看該作者
Introduction,rojects. For each project typically a number of milestones are defined where a certain amount of work should be completed. Thus, project planning is an important task which is, at the same time, very complex for the following reasons.
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發(fā)表于 2025-3-22 21:58:06 | 只看該作者
Literature Review,. As MDPs are in discrete time where transitions have the same deterministic durations many results and methodologies, such as VI, cannot be directly applied to continuous-time Markov decision processes with exponentially distributed transition times.
9#
發(fā)表于 2025-3-23 03:45:42 | 只看該作者
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發(fā)表于 2025-3-23 07:55:03 | 只看該作者
Introduction,uring company. The focus of the department has been on the development of hardware components for the control of motor systems which is organized in projects. For each project typically a number of milestones are defined where a certain amount of work should be completed. Thus, project planning is a
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