Models & Methods for Project Selection: Concepts from Management Science, Finance and Information Technology / Edition 1

by Samuel B. Graves, Jeffrey L. Ringuest

Overview

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.

Product Details

ISBN-13:	9781402072802
Publisher:	Springer US
Publication date:	11/30/2002
Series:	International Series in Operations Research & Management Science , #58
Edition description:	2003
Pages:	193
Product dimensions:	6.10(w) x 9.25(h) x 0.02(d)

Table of Contents

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 Shastic Dominance in Project Portfolio Selection.- 7 Mean-Gini Analysis in Project Selection.- 8 A Sampling-Based Method for Generating Nondominated Solutions in Shastic Momp Problems.- 9 An Interactive Multiobjective Complex Search for Shastic Problems.- 10 An Evolutionary Algorithm for Project Selection Problems Based on Shastic Multiobjective Linearly Constrained Optimization.

Editorial Reviews

From the reviews:

"This book presents the latest developments in the area of project selection management. … Each chapter contains (at the end) numerous references where the interested reader can find further information on the topics covered, and some chapters are highlighted with sample SAS computer code." (Efstratios Rappos, Zentralblatt MATH, Vol. 1103 (5), 2007)

From the Publisher