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OverviewThis 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 DetailsAuthor: Samuel B. Graves , Jeffrey L. RinguestPublisher: 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: 9781402072802ISBN 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 ![]() 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 Contents1 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.ReviewsFrom 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) Author InformationTab Content 6Author Website:Countries AvailableAll regions |