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International Series in Operations Research & Management Science

Project Selection Under Uncertainty

Dynamically Allocating Resources to Maximize Value

Authors: Kavadias, Stylianos, Loch, Christoph H.

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  • ISBN 978-1-4419-9080-8
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Hardcover $169.99
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  • ISBN 978-1-4020-7703-6
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Softcover $119.99
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About this book

Project Selection Under Uncertainty is the result of a five-year research program on the selection of projects in New Product Development (NPD). Choosing the New Product Development portfolio is of critical importance in today's business environment. The NPD portfolio has considerable strategic effect on the "middle term" success of a business.
This book takes a step in developing a theory that addresses the need for quantitative prioritization criteria within the broader strategic context of the R&D portfolios. Its foundation lies in mathematical theory of resource-constrained optimization with the goal to maximize quantitative returns. The book seeks to broaden the portfolio discussion in two ways. First, simplified models - appropriate for the data-poor NPD context - are developed, which attempt to illuminate the structure of the choice problem and robust qualitative rules of thumb, rather than detailed algorithmic decision support. Such robust rules can be applied in the R&D environment of poor data availability. Second, the annual portfolio review is not the only important choice in resource allocation. In addition, the book discusses how ideas might be pre-screened as they emerge, and how projects should be prioritized once they are funded and ongoing.

Reviews

From the reviews:

"This book is rooted in the mathematical theory of resource constrained optimization with the goal of maximization quantitative turns … . It attempts to broaden the portfolio discussion in two ways. First, simplified models appropriate for a new product development context are described where the lack of precise data is typical. Second, not only the annual portfolio review is discussed, but also what should be done with ideas as they emerge, and how projects should be prioritized once they are funded and ongoing." (Klaus Ehemann, Zentralblatt MATH, Vol. 1056 (7), 2005)


Table of contents (7 chapters)

Table of contents (7 chapters)

Buy this book

eBook $89.00
price for USA in USD
  • ISBN 978-1-4419-9080-8
  • Digitally watermarked, DRM-free
  • Included format: PDF
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Hardcover $169.99
price for USA in USD
  • ISBN 978-1-4020-7703-6
  • Free shipping for individuals worldwide
  • Institutional customers should get in touch with their account manager
  • Covid-19 shipping restrictions
  • Usually ready to be dispatched within 3 to 5 business days, if in stock
Softcover $119.99
price for USA in USD
  • ISBN 978-1-4613-4785-9
  • Free shipping for individuals worldwide
  • Institutional customers should get in touch with their account manager
  • Covid-19 shipping restrictions
  • Usually ready to be dispatched within 3 to 5 business days, if in stock
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Bibliographic Information

Bibliographic Information
Book Title
Project Selection Under Uncertainty
Book Subtitle
Dynamically Allocating Resources to Maximize Value
Authors
Series Title
International Series in Operations Research & Management Science
Series Volume
69
Copyright
2004
Publisher
Springer US
Copyright Holder
Springer Science+Business Media New York
eBook ISBN
978-1-4419-9080-8
DOI
10.1007/978-1-4419-9080-8
Hardcover ISBN
978-1-4020-7703-6
Softcover ISBN
978-1-4613-4785-9
Series ISSN
0884-8289
Edition Number
1
Number of Pages
XI, 145
Topics