Dynamic and Stochastic Multi-Project Planning
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...
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Ngôn ngữ: | English |
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Springer
2015
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Truy cập trực tuyến: | https://scholar.dlu.edu.vn/thuvienso/handle/DLU123456789/57487 |
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oai:scholar.dlu.edu.vn:DLU123456789-574872023-11-11T05:47:11Z Dynamic and Stochastic Multi-Project Planning Melchiors, Philipp Project management BUSINESS ECONOMICS Industrial Management BUSINESS ECONOMICS Management 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. 2015-08-17T02:58:13Z 2015-08-17T02:58:13Z 2015 Book 978-3-319-04540-5 https://scholar.dlu.edu.vn/thuvienso/handle/DLU123456789/57487 en application/pdf Springer |
institution |
Thư viện Trường Đại học Đà Lạt |
collection |
Thư viện số |
language |
English |
topic |
Project management BUSINESS ECONOMICS Industrial Management BUSINESS ECONOMICS Management |
spellingShingle |
Project management BUSINESS ECONOMICS Industrial Management BUSINESS ECONOMICS Management Melchiors, Philipp Dynamic and Stochastic Multi-Project Planning |
description |
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. |
format |
Book |
author |
Melchiors, Philipp |
author_facet |
Melchiors, Philipp |
author_sort |
Melchiors, Philipp |
title |
Dynamic and Stochastic Multi-Project Planning |
title_short |
Dynamic and Stochastic Multi-Project Planning |
title_full |
Dynamic and Stochastic Multi-Project Planning |
title_fullStr |
Dynamic and Stochastic Multi-Project Planning |
title_full_unstemmed |
Dynamic and Stochastic Multi-Project Planning |
title_sort |
dynamic and stochastic multi-project planning |
publisher |
Springer |
publishDate |
2015 |
url |
https://scholar.dlu.edu.vn/thuvienso/handle/DLU123456789/57487 |
_version_ |
1819788054190096384 |