Authors:
Introduces new analytical models for optimal multi-project management based on decision rules in dynamic-stochastic environments
Presents new insights into the structure of optimal policies
Describes extensive experimental investigations into the performance of well-known heuristics for multi-project scheduling in dynamic-stochastic environments
Introduces new approaches for high quality computing policies which outperform existing heuristic policies
Part of the book series: Lecture Notes in Economics and Mathematical Systems (LNE, volume 673)
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Table of contents (9 chapters)
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Front Matter
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Back Matter
About this book
Authors and Affiliations
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Technische Universität München, München, Germany
Philipp Melchiors
About the author
Bibliographic Information
Book Title: Dynamic and Stochastic Multi-Project Planning
Authors: Philipp Melchiors
Series Title: Lecture Notes in Economics and Mathematical Systems
DOI: https://doi.org/10.1007/978-3-319-04540-5
Publisher: Springer Cham
eBook Packages: Business and Economics, Business and Management (R0)
Copyright Information: Springer International Publishing Switzerland 2015
Softcover ISBN: 978-3-319-04539-9Published: 08 May 2015
eBook ISBN: 978-3-319-04540-5Published: 24 April 2015
Series ISSN: 0075-8442
Series E-ISSN: 2196-9957
Edition Number: 1
Number of Pages: XV, 204
Number of Illustrations: 37 b/w illustrations
Topics: Project Management, Operations Research/Decision Theory, Operations Research, Management Science, Innovation/Technology Management, Operations Management, Discrete Optimization