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Project Selection Under Uncertainty: Dynamically Allocating Resources to Maximize Value - Couverture rigide
Synopsis
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.
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Présentation de l'éditeur
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.
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- ÉditeurSpringer-Verlag New York Inc.
- Date d'édition2004
- ISBN 10 1402077033
- ISBN 13 9781402077036
- ReliureRelié
- Langueanglais
- Nombre de pages145
- Coordonnées du fabricantnon disponible
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Project Selection Under Uncertainty: Dynamically Allocating Resources to Maximize Value
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Springer-Verlag New York Inc., 2004
ISBN 10 : 1402077033
ISBN 13 : 9781402077036
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Couverture rigide
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Hardcover. Etat : Très bon. Ancien livre de bibliothèque. Edition 2004. Ammareal reverse jusqu'à 15% du prix net de cet article à des organisations caritatives. ENGLISH DESCRIPTION Book Condition: Used, Very good. Former library book. Edition 2004. Ammareal gives back up to 15% of this item's net price to charity organizations. N° de réf. du vendeur E-563-363
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Project Selection Under Uncertainty
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Project Selection Under Uncertainty
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Project Selection Under Uncertainty
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Project Selection Under Uncertainty (Hb)
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Project Selection Under Uncertainty: Dynamically Allocating Resources to Maximize Value (International Series in Operations Research & Management Science, 69)
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Gebunden. Etat : New. 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 en. N° de réf. du vendeur 458476673
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