Advanced models for project management
Author(s)
Bibliographic Information
Advanced models for project management
(International series in operations research & management science, 16)
Kluwer Academic Publishers, c1999
Available at 15 libraries
  Aomori
  Iwate
  Miyagi
  Akita
  Yamagata
  Fukushima
  Ibaraki
  Tochigi
  Gunma
  Saitama
  Chiba
  Tokyo
  Kanagawa
  Niigata
  Toyama
  Ishikawa
  Fukui
  Yamanashi
  Nagano
  Gifu
  Shizuoka
  Aichi
  Mie
  Shiga
  Kyoto
  Osaka
  Hyogo
  Nara
  Wakayama
  Tottori
  Shimane
  Okayama
  Hiroshima
  Yamaguchi
  Tokushima
  Kagawa
  Ehime
  Kochi
  Fukuoka
  Saga
  Nagasaki
  Kumamoto
  Oita
  Miyazaki
  Kagoshima
  Okinawa
  Korea
  China
  Thailand
  United Kingdom
  Germany
  Switzerland
  France
  Belgium
  Netherlands
  Sweden
  Norway
  United States of America
Note
Includes bibliographical references and index
Description and Table of Contents
Description
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.
Table of Contents
Foreword. 1. A Systemic Introduction to Project Management. 2. Basic Models for Project Management. 3. Structural Modelling of Projects Networks. 4. Morphology and Simulation of Project Networks. 5. Duration of Projects. 6. Scheduling of Project Networks. 7. The Assessment and Evaluation of Projects. 8. The Optimal Scheduling of a Project in Terms of its Duration. Annex 1: Developed Software. Annex 2: Main Notation. References. Index.
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