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

Author:   Samuel B. Graves ,  Jeffrey L. Ringuest
Publisher:   Springer-Verlag New York Inc.
Edition:   2003 ed.
Volume:   58
ISBN:  

9781402072802


Pages:   193
Publication Date:   30 November 2002
Format:   Hardback
Availability:   In Print   Availability explained
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Models & Methods for Project Selection: Concepts from Management Science, Finance and Information Technology


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Overview

This text systematically examines work in the field of project selection modelling. 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; risk and uncertainty; and non-linearity and interdependence. Further chapters present solution methodologies, which can be used to solve these most general project selection models.

Full Product Details

Author:   Samuel B. Graves ,  Jeffrey L. Ringuest
Publisher:   Springer-Verlag New York Inc.
Imprint:   Springer-Verlag New York Inc.
Edition:   2003 ed.
Volume:   58
Dimensions:   Width: 15.50cm , Height: 1.20cm , Length: 23.50cm
Weight:   1.050kg
ISBN:  

9781402072802


ISBN 10:   1402072805
Pages:   193
Publication Date:   30 November 2002
Audience:   College/higher education ,  Professional and scholarly ,  Undergraduate ,  Postgraduate, Research & Scholarly
Format:   Hardback
Publisher's Status:   Active
Availability:   In Print   Availability explained
This item will be ordered in for you from one of our suppliers. Upon receipt, we will promptly dispatch it out to you. For in store availability, please contact us.

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 Stochastic Dominance in Project Portfolio Selection.- 7 Mean-Gini Analysis in Project Selection.- 8 A Sampling-Based Method for Generating Nondominated 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.

Reviews

From the reviews: <p> This book presents the latest developments in the area of project selection management. a ] 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)


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