Graves Samuel B., Ringuest Jeffrey L. Models & Methods for Project Selection / Concepts from Management Science, Finance and Information Technology 9781402072802

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Автор: Graves Samuel B., Ringuest Jeffrey L.
Название: Models & Methods for Project Selection / Concepts from Management Science, Finance and Information Technology
ISBN: 9781402072802
Издательство: Springer
Классификация:

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ISBN-10: 1402072805
Обложка/Формат: Hardback
Страницы: 212
Вес: 1.05 кг.
Дата издания: 2003
Серия: International Series in Operations Research & Management Science
Язык: English
Иллюстрации: Black & white illustrations
Размер: 25.60 x 14.63 x 1.85
Читательская аудитория: Postgraduate, research & scholarly
Подзаголовок: Concepts from management science, finance and information technology
Ссылка на Издательство: Link
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Поставляется из: Германии
Описание: 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. This group of chapters examines the multiobjective linear programming approach, discusses the appropriate methods for adjusting for time and risk in the project selection problem, and expands on the discussion of optimization models and NPV. *Risk and Uncertainty: Chapters 4-7 deal with uncertainty in the project selection problem. The models developed in this section are based on probability distribution assumptions or estimates and deal with uncertainty in some aspect of the project selection model. *Non-Linearity and Interdependence: These chapters deal with problems of non-linearity and interdependence as they arise in the project selection problem. The ability to handle non-linear problems allows the application of the methodology to a far wider range of problems. Similarly, the ability to model interdependence between projects - as in the Information Technology models - is an important step in generalization. Chapters 8, 9 and 10 present solution methodologies, which can be used to solve these most general project selection models.
Дополнительное описание: Круг читателей: Experts in finance, banking, operations research
Язык: eng
Оглавление: Dedication. Preface. 1. The linear multiobjective project selection problem. 2. Evaluating competing investments. 3. The linear project selection problem: an alternative to net present value. 4. Choosing the best solution in a project selection problem with multiple objectives. 5. Evaluating a portfolio of project investments. 6. Conditional stochastic dominance in project portfolio selection. 7. Mean-gini analysis in project selection. 8. A sampling-based method for generating nondenominated solutions in stochastic MOMP problems. 9. An interactive multiobjective complex search for stochastic problems. 10. An evolutionary algorithm for project selection problems based on stochastic multiobjective linearly constrained optimization. Index.

Models & Methods for Project Selection / Concepts from Management Science, Finance and Information Technology, Graves Samuel B., Ringuest Jeffrey L.