Dynamic and Stochastic Multi-Project Planning

By:

Philipp Melchiors

Format:

Paperback / softback

Series:

Lecture Notes in Economics and Mathematical Systems

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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.

Author Biography:

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".

Release date Australia

May 8th, 2015

Author

Philipp Melchiors

Audience

Professional & Vocational

Illustrations

37 Illustrations, black and white; XV, 204 p. 37 illus.

Pages

204

Series

Lecture Notes in Economics and Mathematical Systems

Dimensions

155x235x12

ISBN-13

9783319045399

Product ID

21958100

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