Project Selection Under Uncertainty - Kavadias Stylianos
Project Selection Under Uncertainty - Kavadias Stylianos
- Dynamically Allocating Resources to Maximize Value
AutorzyKavadias Stylianos
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.
EAN: 9781461347859
Marka
Symbol
043HHS03527KS
Rok wydania
2012
Strony
164
Oprawa
Miekka
Format
15.6x23.4cm
Język
angielski

Bez ryzyka
14 dni na łatwy zwrot

Szeroki asortyment
ponad milion pozycji

Niskie ceny i rabaty
nawet do 50% każdego dnia
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Ocena: /5
Marka
Symbol
043HHS03527KS
Kod producenta
9781461347859
Rok wydania
2012
Strony
164
Oprawa
Miekka
Format
15.6x23.4cm
Język
angielski
Autorzy
Kavadias Stylianos

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.
EAN: 9781461347859
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.
EAN: 9781461347859
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