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Kavadias, Stylianos; Loch, Christoph H. - Project Selection Under Uncertainty - 9781402077036 - V9781402077036
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Project Selection Under Uncertainty

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Description for Project Selection Under Uncertainty Hardback. Develops a theory that addresses the need for quantitative prioritization criteria within the broader strategic context of the R&D portfolios. This book discusses how ideas might be pre-screened as they emerge, and how projects should be prioritized once they are funded and ongoing. Series: International Series in Operations Research & Management Science. Num Pages: 145 pages, biography. BIC Classification: JPQB. Category: (P) Professional & Vocational. Dimension: 240 x 167 x 16. Weight in Grams: 400.
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 ... Read more

Product Details

Format
Hardback
Publication date
2004
Publisher
Springer-Verlag New York Inc. United States
Number of pages
145
Condition
New
Series
International Series in Operations Research & Management Science
Number of Pages
145
Place of Publication
New York, NY, United States
ISBN
9781402077036
SKU
V9781402077036
Shipping Time
Usually ships in 15 to 20 working days
Ref
99-15

Reviews for Project Selection Under Uncertainty
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, ... Read more

Goodreads reviews for Project Selection Under Uncertainty


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