Overview

"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."

Full Product Details

Author:   Stylianos Kavadias ,  Christoph H. Loch
Publisher:   Springer-Verlag New York Inc.
Imprint:   Springer-Verlag New York Inc.
Edition:   Softcover reprint of the original 1st ed. 2004
Volume:   69
Dimensions:   Width: 15.50cm , Height: 0.80cm , Length: 23.50cm
Weight:   0.261kg
ISBN:  

9781461347859

ISBN 10:   1461347858
Pages:   145
Publication Date:   30 September 2012
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Paperback
Publisher's Status:   Active
Availability:   Manufactured on demand  
We will order this item for you from a manufactured on demand supplier.

Table of Contents

1. Introduction to the Portfolio Selection Problem.- 1 Introduction.- 2 Portfolio Selection: A Complex Task.- 3 Research Questions and Overview of this Book.- 2. What Has Been Done So Far?.- 1 Introduction.- 2 Operational Decisions.- 3 Strategie Decisions.- 4 Strategie Alignment of R&D: an Example.- 5 Implications for this Book.- 3. Dynamic Selection of NPD Programs.- 1 Introduction.- 2 Model Setup.- 3 Increasing Returns.- 4 Decreasing Returns.- 5 Decreasing Returns and Market Interactions.- 6 Decreasing Returns and Risk Aversion.- 7 Numerieal Example.- 8 n Product Lines and T Periods.- 9 Discussion and Conclusion.- 4. Applying Project Selection at Gemstone.- 1 Introduction.- 2 The Diamond Producer GemStone Inc..- 3 Selecting the Portfolio at GemStone.- 4 Discussion and Conclusion.- Admitting Projects One-By-One.- 1 Introduction.- 2 Model Setup.- 3 Optimal policy.- 4 Discussion and Conclusion.- Prioritizing Ongoing Projects.- 1 Introduction.- 2 Model and Optimal Sequencing Policy.- 3 Discussion and Examples.- 4 Conclusion.- What Have We Learned?.- References.- About the Authors.

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)

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)

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