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Dynamic and stochastic multi-project planning / Philipp Melchiors.
Author
Melchiors, Philipp
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Format
Book
Language
English
Published/Created
Cham : Springer, 2015.
Description
xv, 204 pages : illustrations ; 24 cm.
Availability
Copies in the Library
Location
Call Number
Status
Location Service
Notes
Firestone Library - Stacks
HD69.P75 M45 2015
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Details
Subject(s)
Project management
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Series
Lecture notes in economics and mathematical systems ; 673.
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Lecture notes in economics and mathematical systems, 2196-9957 ; 673
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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.
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ISBN
9783319045399 ((pbk.))
3319045393 ((pbk.))
OCLC
866931408
Doi
10.1007/9783319045405
Statement on language in description
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