I don't expect this review to be too helpful to most, as I've not purchased this book yet, but these are my observations. The book was published in 2003 and I'm the first to review it. Hmm? Also, my odd way of assessing a book via Amazon is to look at the cost versus page count. This book costs $
Measuring Time: Improving Project Performance Using Earned Value Management
β Scribed by Mario Vanhoucke (auth.)
- Publisher
- Springer US
- Year
- 2009
- Tongue
- English
- Leaves
- 195
- Series
- International Series in Operations Research & Management Science 136
- Edition
- 1
- Category
- Library
No coin nor oath required. For personal study only.
β¦ Synopsis
Meant to complement rather than compete with the existing books on the subject, this book deals with the project performance and control phases of the project life cycle to present a detailed investigation of the projectβs time performance measurement methods and risk analysis techniques in order to evaluate existing and newly developed methods in terms of their abilities to improve the corrective actions decision-making process during project tracking. As readers apply what is learned from the book, EVM practices will become even more effective in project management and cost engineering. Individual chapters look at simulation studies in forecast accuracy; schedule adherence; time sensitivity; activity sensitivity; and using top-down or bottom-up project tracking. Vanhoucke also offers an actual real-life case study, a tutorial on the use of ProTrack software (newly developed based on his research) in EVM, and conclusions on the relative effectiveness for each technique presented.
β¦ Table of Contents
Front Matter....Pages i-xxx
The EVM Fundamentals....Pages 1-24
Beyond the EVM Fundamentals....Pages 25-35
A Case Study....Pages 37-49
A Simulation Study....Pages 51-86
Time Sensitivity....Pages 87-105
Top-down or Bottom-up Project Tracking....Pages 107-119
ProTrack: A Software Tutorial....Pages 121-147
Conclusions....Pages 149-155
Back Matter....Pages 157-164
β¦ Subjects
Operations Research/Decision Theory; Industrial and Production Engineering; Construction Management
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