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 Programming Heterogeneous MPSoCs by Philipp Melchiors
Cover of the book Ellipsometry of Functional Organic Surfaces and Films by Philipp Melchiors
Cover of the book Smart Cities, Green Technologies, and Intelligent Transport Systems by Philipp Melchiors
Cover of the book The Bubble Theory by Philipp Melchiors
Cover of the book Intelligent Natural Language Processing: Trends and Applications by Philipp Melchiors
Cover of the book Integrated Waste Management in India by Philipp Melchiors
Cover of the book Naval Modernisation in Southeast Asia, Part Two by Philipp Melchiors
Cover of the book Cricket and Society in South Africa, 1910–1971 by Philipp Melchiors
Cover of the book Species Concepts in Biology by Philipp Melchiors
Cover of the book Entertainment Computing – ICEC 2018 by Philipp Melchiors
Cover of the book Handbook of Consumer Finance Research by Philipp Melchiors
Cover of the book Pagan Ethics by Philipp Melchiors
Cover of the book Canadian Music and American Culture by Philipp Melchiors
Cover of the book Correlated Random Systems: Five Different Methods by Philipp Melchiors
Cover of the book Turbulence and Dispersion in the Planetary Boundary Layer 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