Models & Methods for Project Selection systematically examines in this book treatment the latest work in the field of project selection modeling. The models presented are drawn from mathematical programming, decision theory, and finance. These models are examined in two categorical streams: the management science stream and the financial model stream. The book describes the assumptions and limitations of each model and provides appropriate solution methodologies. Its organization follows three main themes:
*Criteria for Choice: Chapters 1-3 investigate the effect of the choice of optimization criteria on the results of the portfolio optimization problem.
*Risk and Uncertainty: Chapters 4-7 deal with uncertainty in the project selection problem.
*Non-Linearity and Interdependence: These chapters deal with problems of non-linearity and interdependence as they arise in the project selection problem. Chapters 8, 9 and 10 present solution methodologies, which can be used to solve these most general project selection models.
| ISBN: | 9781402072802 |
| Publication date: | 30th November 2002 |
| Author: | Samuel B Graves, Jeffrey L Ringuest, Andrés L Medaglia |
| Publisher: | Springer an imprint of Springer US |
| Format: | Hardback |
| Pagination: | 193 pages |
| Series: | International Series in Operations Research & Management Science |
| Genres: |
Operational research Management decision making Finance and the finance industry Business innovation |
Models & Methods for Project Selection systematically examines in this book treatment the latest work in the field of project selection modeling. The models presented are drawn from mathematical programming, decision theory, and finance. These models are examined in two categorical streams: the management science stream and the financial model stream. The book describes the assumptions and limitations of each model and provides appropriate solution methodologies. Its organization follows three main themes:
*Criteria for Choice: Chapters 1-3 investigate the effect of the choice of optimization criteria on the results of the portfolio optimization problem.
*Risk and Uncertainty: Chapters 4-7 deal with uncertainty in the project selection problem.
*Non-Linearity and Interdependence: These chapters deal with problems of non-linearity and interdependence as they arise in the project selection problem. Chapters 8, 9 and 10 present solution methodologies, which can be used to solve these most general project selection models.
Models & Methods for Project Selection features in the following genres: Operational research, Management decision making, Finance and the finance industry, Business innovation
Models & Methods for Project Selection is available in Hardback
Models & Methods for Project Selection was written by Samuel B Graves, Jeffrey L Ringuest, Andrés L Medaglia and published by Springer an imprint of Springer US
Models & Methods for Project Selection has 193 pages
Yes it is part of International Series in Operations Research & Management Science series