Dynamic and stochastic multi-project planning / Philipp Melchiors.

Author
Melchiors, Philipp [Browse]
Format
Book
Language
English
Published/​Created
Cham : Springer, 2015.
Description
xv, 204 pages : illustrations ; 24 cm.

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Firestone Library - Stacks HD69.P75 M45 2015 Browse related items Request

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    Summary note
    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.
    Bibliographic references
    Includes bibliographical references.
    Contents
    • 1. Introduction
    • 2. Problem Statements
    • 3. Literature Review
    • 4. Continuous-time Markov Decision Processes
    • 5. Generation of Problem Instances
    • 6. Scheduling Using Priority Policies
    • 7. Optimal and Near Optimal Scheduling Policies
    • 8. Integrated Dynamic Order Acceptance and Capacity Planning
    • 9. Conclusions and Future Work.
    ISBN
    • 9783319045399 ((pbk.))
    • 3319045393 ((pbk.))
    OCLC
    866931408
    Doi
    • 10.1007/9783319045405
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