Other related sections of the PMKI:
Every estimate included is a schedule has a degree of risk (ie, uncertainty that matters) associated with the estimate. It is impossible to predict the future with complete certainty - recognizing and managing this risk leads to far better project outcomes than attempting to avoid the risk through contracts or simply ignoring the issue. For more on managing risk, visit our advanced risk management page.
Art: Predicting project completion. The use of Earned Schedule and the 'P-Factor in determining a realistic completion date are defined.
Blg: Predicting Completion. The requirement to finish a 'project' on time with associated penalties for late completion hs been around for 3000 years. The question asked in this post is when did predictive tools start to emerge to give the contractor some insight into the consequences of current performance rates?
A well developed, realistic schedule reduces risk. The stages in developing this are:
PP: Why Critical Path Scheduling (CPM) is Wildly Optimistic. The factors that drive CPM towards an optimistic initial assessment including psychological biases, single point estimates and limitations of the CPM modelling process are defined and quantified.
WP: Understanding PERT. PERT is the oldest and arguable the least effective / least accurate way to model uncertainty. This paper traces the origins of PERT and the reasons for its limitations.
SCRAM: The Schedule Compliance Risk Assessment Methodology. SCRAM is an approach for identifying risks to compliance with the program schedule, it is the result of a collaborative effort between Adrian Pitman from the Australian Department of Defence, Angela Tuffley of RedBay Consulting in Australia, and Betsy Clark and Brad Clark of Software Metrics Inc. in the United States. SCRAM focuses on schedule feasibility and root causes for slippage. It makes no judgment about whether or not a project is technically feasible. SCRAM can be used:
For more information and free resources see: https://sites.google.com/site/scramsitenew/home
Schedule risk tools model uncertainty based on
Art: Standard Deviation for Project Managers. The concepts behind Standard Deviation and how it is used.
Art: Predicting Future Project Outcomes - The power of uncertainty. Monte Carlo, Latin Hypercube and Sampling.
Two commercial tools that apply these concepts are:
Deltek Acumen Risk - Accurately predict completion and understand the impact of high-risk activities in terms of dollars and days. Acumen Risk is an integrated cost/schedule risk analysis tool combining true cost and schedule risk analysis against a native project plan together with identified risk events from a project risk register. It was the first truly integrated and easy-to-use cost/schedule risk analysis and risk register software that helps you effectively account for and proactively reduce project risk exposure. Acumen Risk’s Uncertainty Factor is a simple-to-use sliding scale that project teams can relate to, to develop a truly integrated means of linking schedule risk to cost risk so that you can determine the impact of schedule delays on your project cost estimate.
Barbecana’s Full Monte
Full Monte is schedule risk analysis software that integrates seamlessly with Microsoft Project 2007 through to 2016. Full Monte for Oracle Primavera P6 is a standalone application working directly against the P6 database, so requires no import or export. Full Monte utilizes the Monte Carlo simulation method, and is fast and easy-to-use. Some of the features include:
See more at: http://barbecana.com/
SCRAM - Schedule Compliance Risk Assessment Methodology home page: https://sites.google.com/site/scramsitenew/home
RedBay Consulting Pty Ltd (developer of SCRAM): http://www.redbay.com.au/