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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.
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