Advanced Models for Project Management

  • L. Valadares Tavares

Part of the International Series in Operations Research & Management Science book series (ISOR, volume 16)

Table of contents

  1. Front Matter
    Pages i-xiii
  2. L. Valadares Tavares
    Pages 1-18
  3. L. Valadares Tavares
    Pages 19-52
  4. L. Valadares Tavares
    Pages 53-81
  5. L. Valadares Tavares
    Pages 83-112
  6. L. Valadares Tavares
    Pages 113-158
  7. L. Valadares Tavares
    Pages 159-233
  8. L. Valadares Tavares
    Pages 235-263
  9. Back Matter
    Pages 293-309

About this book


More than forty years have passed since the early attempts to model projects. A large domain of theoretical developments has grown producing a high number of analytical and numerical results, but it seems that the main model is still the same: the concept of project network. This concept has come to represent the two major features underlying the notion of a project: the sequential and the competitive nature of its components, the project's activities. Actually, the sequential property defines the structure of the project and the competitive nature stems from the use of common resources (facilities, goods, equipment, management, etc.) to carry out the different activities. However, significant advances have been achieved in project modelling, allowing the production of much more powerful results: A. the concept of precedence and the description of activities has been generalized to produce a wide range of realistic representation of projects. B. the stochastic study of the features of projects such as the duration and cost of their activities is carried out by several analytical and numerical models, allowing experimental and forecasting analyses. C. the allocation of resources can be now studied for more complex situations and restrictions. D. the financial description of projects is more accurately studied and its optimization is thoroughly pursued. E. the assessment and the evaluation of projects now can be studied within the framework of multicriteria decision theory considering multiple perspectives and supporting the project manager to select the most appropriate compromises between risk, time and expected gains.


Simulation complexity decision theory linear optimization modeling networks optimization scheduling

Authors and affiliations

  • L. Valadares Tavares
    • 1
  1. 1.Instituto Superior TécnicoTechnical University of LisbonLisbonPortugal

Bibliographic information

  • DOI
  • Copyright Information Kluwer Academic Publishers 1999
  • Publisher Name Springer, Boston, MA
  • eBook Packages Springer Book Archive
  • Print ISBN 978-1-4613-4649-4
  • Online ISBN 978-1-4419-8626-9
  • Series Print ISSN 0884-8289
  • Buy this book on publisher's site
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