Project Selection Under Uncertainty

Dynamically Allocating Resources to Maximize Value

  • Stylianos Kavadias
  • Christoph H. Loch

Part of the International Series in Operations Research & Management Science book series (ISOR, volume 69)

Table of contents

  1. Front Matter
    Pages i-xi
  2. Stylianos Kavadias, Christoph H. Loch
    Pages 1-12
  3. Stylianos Kavadias, Christoph H. Loch
    Pages 13-30
  4. Stylianos Kavadias, Christoph H. Loch
    Pages 31-65
  5. Stylianos Kavadias, Christoph H. Loch
    Pages 67-88
  6. Stylianos Kavadias, Christoph H. Loch
    Pages 89-102
  7. Stylianos Kavadias, Christoph H. Loch
    Pages 103-121
  8. Stylianos Kavadias, Christoph H. Loch
    Pages 123-126
  9. Back Matter
    Pages 127-147

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.


Alignment Forschung & Entwicklung algorithms business development non-governmental organizations optimization strategy

Authors and affiliations

  • Stylianos Kavadias
    • 1
  • Christoph H. Loch
    • 2
  1. 1.Dupree College of ManagementGeorgia Institute of TechnologyUSA

Bibliographic information

  • DOI
  • Copyright Information Kluwer Academic Publishers 2004
  • Publisher Name Springer, Boston, MA
  • eBook Packages Springer Book Archive
  • Print ISBN 978-1-4613-4785-9
  • Online ISBN 978-1-4419-9080-8
  • Series Print ISSN 0884-8289
  • Buy this book on publisher's site
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