Dynamic and Stochastic Multi-Project Planning (Paperback, 2015 ed.)

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.

General

Imprint:	Springer International Publishing AG
Country of origin:	Switzerland
Series:	Lecture Notes in Economics and Mathematical Systems, 673
Release date:	April 2015
First published:	2015
Authors:	Philipp Melchiors
Dimensions:	235 x 155 x 15mm (L x W x T)
Format:	Paperback
Pages:	204
Edition:	2015 ed.
ISBN-13:	978-3-319-04539-9
Categories:	Books > Business & Economics > Business & management > Management & management techniques > Operational research Books > Business & Economics > Business & management > Management of specific areas > Production & quality control management Books > Business & Economics > Business & management > Management of specific areas > Research & development management Books > Science & Mathematics > Mathematics > Optimization > General
LSN:	3-319-04539-3
Barcode:	9783319045399

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