Dynamic and Stochastic Multi-Project Planning: 673 (Lecture Notes in Economics and Mathematical Systems) - Tapa blanda

Libro 116 de 126: Lecture Notes in Economics and Mathematical Systems

Melchiors, Philipp

 
9783319045399: Dynamic and Stochastic Multi-Project Planning: 673 (Lecture Notes in Economics and Mathematical Systems)
Tapa blanda
ISBN 10: 3319045393 ISBN 13: 9783319045399
Editorial: Springer, 2015

Sinopsis

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.

"Sinopsis" puede pertenecer a otra edición de este libro.

Acerca del autor

Philipp Melchiors is a consultant for an Operations Research focused consulting company. Prior to his current position he worked as research and teaching assistant at the TUM School of Management, Technische Universität München. During this time he wrote his Ph.D. thesis on "Dynamic and stochastic multi-project planning".

De la contraportada

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.

"Sobre este título" puede pertenecer a otra edición de este libro.

Editorial
Springer
Año de publicación
2015
Idioma
Inglés
ISBN 10 
3319045393
ISBN 13 
9783319045399
Encuadernación
Tapa blanda
Número de páginas
220
Contacto del fabricante
ProductSafety@springernature.com
ProductSafety@springernature.com

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