Practical Schedule Risk AnalysisCRC Press, 8 abr 2016 - 240 páginas Project scheduling is required for good project management, and the schedule represents the project plan under a specific set of assumptions, often that it will avoid new risks or even those that have occurred on previous occasions. The typical Critical Path Method (CPM) schedule assumes that the project team knows how long the scheduled activities will take. Yet, the experienced project manager knows that duration values so precisely stated are actually only estimates based on assumptions that could be wrong. A schedule risk analysis explores the implications for the project's schedule of risk to the activity durations and also identifies the most important schedule risks. This analysis, building on and extending CPM scheduling, will result in a more accurate estimate of completion and provide an early opportunity for planning effective risk mitigation actions. Practical Schedule Risk Analysis contains a complete treatment of schedule risk analysis from basic to advanced concepts. The methods are introduced at the simplest level: * Why is the duration uncertain? * And how do we represent this uncertainty with a probability distribution? These are then progressively elaborated: * How does uncertainty of activities along a path lead to more uncertainty of the path's completion date? * How can a schedule with parallel paths be riskier than each of the paths individually? * How can we represent risks about activities that are not in the schedule at all? Culminating in a discussion of the most powerful and advanced capabilities available in current commercial software. Schedule risk analysis is a process that is industry-independent, and the methods explained in this volume have been used by the author with positive effect in such industries as construction, oil and gas, information systems, environmental restoration and aerospace/defense. The result is a book that is not only highly practical; something that people within all types of projects and in all industries can apply themselves; but that is an extraordinarily complete guide to creating and managing a rigorous project schedule. |
Índice
| 1 | |
Using Probability Distributions | 9 |
Using Monte Carlo Simulation | 29 |
Critical Path Method Scheduling 101 | 47 |
Exploring Methods and Problems | 71 |
Introducing the Merge Bias and Risk Criticality | 99 |
Analyzing Discrete Risk Events | 115 |
Introducing the Risk Driver Method | 133 |
Using Conditional Branching | 163 |
Incorporating Correlation | 179 |
Identifying the Mature Risk Management Culture | 201 |
Appendix 1 The Problem with PERT | 207 |
| 219 | |
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Términos y frases comunes
100 percent 80th percentile activity durations activity’s affect assigned beta distribution Build Unit calculated Chapter completion date Completion Probability Table Completion Std Deviation Component conditional branching constraint contingency correlation coefficients correlation matrix CPM scheduling critical path Critical Path Method delay the project Design example fabrication factors failing the test Finish Date finish milestone ID Task Name impact ranges iterations jacket merge bias merge point Microsoft Project Monte Carlo simulation one-path schedule optimistic organization overrun PERT Pertmaster pessimistic predecessor probabilistic branch probability and impact probability distribution probability of occurring Project Management Institute project manager project risk analysis project schedule risk project team Rdur risk data risk driver method risk events risk interviews risk management risk mitigation risk ranges risk register Risk+ scenario schedule duration schedule risk analysis September 23 shown in Figure single-path schedule specific standard deviation successor three-path schedule three-point estimates triangular distribution trigger uncertainty