| 書目名稱 | Project Selection Under Uncertainty |
| 副標題 | Dynamically Allocati |
| 編輯 | Stylianos Kavadias,Christoph H. Loch |
| 視頻video | http://file.papertrans.cn/761/760894/760894.mp4 |
| 叢書名稱 | International Series in Operations Research & Management Science |
| 圖書封面 |  |
| 描述 | .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 |
| 出版日期 | Book 2004 |
| 關鍵詞 | Alignment; Forschung & Entwicklung; algorithms; business; development; non-governmental organizations; opt |
| 版次 | 1 |
| doi | https://doi.org/10.1007/978-1-4419-9080-8 |
| isbn_softcover | 978-1-4613-4785-9 |
| isbn_ebook | 978-1-4419-9080-8Series ISSN 0884-8289 Series E-ISSN 2214-7934 |
| issn_series | 0884-8289 |
| copyright | Springer Science+Business Media New York 2004 |
|Archiver|手機版|小黑屋|
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