不確実性下のプロジェクト選択<br>Project Selection Under Uncertainty : Dynamically Allocating Resources to Maximize Value (International Series in Operations Research and Management Science Vol.69) (2004. 160 p.)

個数:
  • ポイントキャンペーン

不確実性下のプロジェクト選択
Project Selection Under Uncertainty : Dynamically Allocating Resources to Maximize Value (International Series in Operations Research and Management Science Vol.69) (2004. 160 p.)

  • ウェブストア価格 ¥21,190(本体¥19,264)
  • SPRINGER NETHERLANDS(2004発売)
  • 外貨定価 US$ 109.99
  • ゴールデンウィーク ポイント2倍キャンペーン対象商品(5/6まで)
  • ポイント 384pt
  • 提携先の海外書籍取次会社に在庫がございます。通常3週間で発送いたします。
    重要ご説明事項
    1. 納期遅延や、ご入手不能となる場合が若干ございます。
    2. 複数冊ご注文の場合、分割発送となる場合がございます。
    3. 美品のご指定は承りかねます。
  • 【入荷遅延について】
    世界情勢の影響により、海外からお取り寄せとなる洋書・洋古書の入荷が、表示している標準的な納期よりも遅延する場合がございます。
    おそれいりますが、あらかじめご了承くださいますようお願い申し上げます。
  • ◆画像の表紙や帯等は実物とは異なる場合があります。
  • ◆ウェブストアでの洋書販売価格は、弊社店舗等での販売価格とは異なります。
    また、洋書販売価格は、ご注文確定時点での日本円価格となります。
    ご注文確定後に、同じ洋書の販売価格が変動しても、それは反映されません。
  • 製本 Hardcover:ハードカバー版/ページ数 160 p.
  • 言語 ENG
  • 商品コード 9781402077036

基本説明

Developing a theory that addresses the need for quantitative within the broader strategic context of the R&D portfolios.

Full Description

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.

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.