Dynamic and Stochastic Multi-Project Planning

Business & Finance, Management & Leadership, Operations Research, Management
Cover of the book Dynamic and Stochastic Multi-Project Planning by Philipp Melchiors, Springer International Publishing
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Author: Philipp Melchiors ISBN: 9783319045405
Publisher: Springer International Publishing Publication: April 24, 2015
Imprint: Springer Language: English
Author: Philipp Melchiors
ISBN: 9783319045405
Publisher: Springer International Publishing
Publication: April 24, 2015
Imprint: Springer
Language: English

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.

View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart

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.

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