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Book Details
Table of Contents
Why schedule risk analysis? Looking beyond the critical path method
Uncertainty in activity durations : creating probability distributions
Uncertainty along a schedule path : using Monte Carlo simulation
A good project schedule is needed : CPM scheduling 101
Collecting risk data : exploring methods and problems
Where parallel paths merge : introducing the "merge bias"
Probabilistic branching : analyzing discrete risk events
Using risks to drive the analysis and prioritize risks. Introducing the "risk driver" method
Schedule contingency plans : using conditional branching
When activity durations move together : incorporating correlation
Risk management in the organization : identifying the mature risk management culture.
Edition Notes
Includes bibliographical references and index.
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Feedback?December 15, 2022 | Edited by MARC Bot | import existing book |
April 29, 2010 | Edited by WorkBot | merge works |
December 11, 2009 | Created by WorkBot | add works page |