Skip to main content
SpringerLink
Log in

Models & Methods for Project Selection

Concepts from Management Science, Finance and Information Technology

  • Book
  • © 2003

Overview

Authors:
  1. Samuel B. Graves

    1. Boston College, USA

    View author publications

    You can also search for this author in PubMed   Google Scholar

  2. Jeffrey L. Ringuest

    1. Boston College, USA

    View author publications

    You can also search for this author in PubMed   Google Scholar

  3. Andrés L. Medaglia
    View author publications

    You can also search for this author in PubMed   Google Scholar

Part of the book series: International Series in Operations Research & Management Science (ISOR, volume 58)

This is a preview of subscription content, log in via an institution to check access.

Access this book

Log in via an institution
eBook USD 84.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book USD 109.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book USD 109.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Other ways to access

Licence this eBook for your library

Institutional subscriptions

Table of contents (10 chapters)

  1. Front Matter

    Pages i-xvii
    Download chapter PDF

  2. The Linear Multiobjective Project Selection Problem

    • Samuel B. Graves, Jeffrey L. Ringuest, AndrĂ©s L. Medaglia
    Pages 1-17

  3. Evaluating Competing Investments

    • Samuel B. Graves, Jeffrey L. Ringuest, AndrĂ©s L. Medaglia
    Pages 19-30

  4. The Linear Project Selection Problem: An Alternative to Net Present Value

    • Samuel B. Graves, Jeffrey L. Ringuest, AndrĂ©s L. Medaglia
    Pages 31-40

  5. Choosing the Best Solution in a Project Selection Problem with Multiple Objectives

    • Samuel B. Graves, Jeffrey L. Ringuest, AndrĂ©s L. Medaglia
    Pages 41-64

  6. Evaluating a Portfolio of Project Investments

    • Samuel B. Graves, Jeffrey L. Ringuest, AndrĂ©s L. Medaglia
    Pages 65-76

  7. Conditional Stochastic Dominance in Project Portfolio Selection

    • Samuel B. Graves, Jeffrey L. Ringuest, AndrĂ©s L. Medaglia
    Pages 77-93

  8. Mean-Gini Analysis in Project Selection

    • Samuel B. Graves, Jeffrey L. Ringuest, AndrĂ©s L. Medaglia
    Pages 95-117

  9. A Sampling-Based Method for Generating Nondominated Solutions in Stochastic MOMP Problems

    • Samuel B. Graves, Jeffrey L. Ringuest, AndrĂ©s L. Medaglia
    Pages 119-145

  10. An Interactive Multiobjective Complex Search for Stochastic Problems

    • Samuel B. Graves, Jeffrey L. Ringuest, AndrĂ©s L. Medaglia
    Pages 147-161

  11. An Evolutionary Algorithm for Project Selection Problems Based on Stochastic Multiobjective Linearly Constrained Optimization

    • AndrĂ©s L. Medaglia
    Pages 163-189

  12. Back Matter

    Pages 191-193
    Download chapter PDF
Back to top

Keywords

About this book

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.

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)

Authors and Affiliations

  • Boston College, USA

    Samuel B. Graves, Jeffrey L. Ringuest

Bibliographic Information

  • Book Title: Models & Methods for Project Selection

  • Book Subtitle: Concepts from Management Science, Finance and Information Technology

  • Authors: Samuel B. Graves, Jeffrey L. Ringuest, AndrĂ©s L. Medaglia

  • Series Title: International Series in Operations Research & Management Science

  • DOI: https://doi.org/10.1007/978-1-4615-0280-7

  • Publisher: Springer New York, NY

  • eBook Packages: Springer Book Archive

  • Copyright Information: Springer Science+Business Media New York 2003

  • Hardcover ISBN: 978-1-4020-7280-2Published: 30 November 2002

  • Softcover ISBN: 978-1-4613-5001-9Published: 22 December 2012

  • eBook ISBN: 978-1-4615-0280-7Published: 06 December 2012

  • Series ISSN: 0884-8289

  • Series E-ISSN: 2214-7934

  • Edition Number: 1

  • Number of Pages: XVII, 193

  • Topics: Operations Research/Decision Theory, Finance, general, Innovation/Technology Management

Publish with us

Policies and ethics

Back to top

Search

Navigation