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

More books from Springer International Publishing

Cover of the book Improving Anti-Money Laundering Compliance by Philipp Melchiors
Cover of the book Data Analytics for Renewable Energy Integration: Informing the Generation and Distribution of Renewable Energy by Philipp Melchiors
Cover of the book Citizen Empowerment and Innovation in the Data-Rich City by Philipp Melchiors
Cover of the book Spiritually and Developmentally Mature Leadership by Philipp Melchiors
Cover of the book Dynamics of Disasters—Key Concepts, Models, Algorithms, and Insights by Philipp Melchiors
Cover of the book Advances in Affective and Pleasurable Design by Philipp Melchiors
Cover of the book Reviews of Environmental Contamination and Toxicology Volume 242 by Philipp Melchiors
Cover of the book Modelling of Plasmonic and Graphene Nanodevices by Philipp Melchiors
Cover of the book An Introduction to Fuzzy Linear Programming Problems by Philipp Melchiors
Cover of the book Computational Approaches for Urban Environments by Philipp Melchiors
Cover of the book Strategy is Digital by Philipp Melchiors
Cover of the book Nanofluidics by Philipp Melchiors
Cover of the book Large Scale Data Analytics by Philipp Melchiors
Cover of the book Business Process Management Workshops by Philipp Melchiors
Cover of the book Thermal Processing of Packaged Foods by Philipp Melchiors
We use our own "cookies" and third party cookies to improve services and to see statistical information. By using this website, you agree to our Privacy Policy