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| COST ESTIMATION |
Fact: You cannot exactly predict an uncertain future.
But in the face of such uncertainty, how can you make accurate, successful predictions about the cost of systems that have yet to be built or projects that have yet to be launched? How can you mitigate the risk in your cost and schedule estimates and eliminate unforeseen “surprises” in cost or schedule overruns?
One way is to assume exact knowledge of the system’s design and then make a best-guess about inevitable changes to the system. These best guesses come down to a specific number, generally bounded by a contingency amount. But cost estimates are not deterministic. They are forecasts that have a range of possible outcomes.
Understanding the implications of these ranges leads to more accurate decisions in predicting budgetary success. Crystal Ball® software helps you determine the ranges and likelihood of achieving success in your cost estimations.
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"I have used Crystal Ball on very
large ($12+ billion) to smaller ($10+million) projects. Because
of these results, the project managers have revised their
baseline estimates to more realistic numbers and secured more
appropriate contingencies. Crystal Ball materially assisted
in securing these benefits."
-- David Hulett, Principal, Hulett & Associates, LLC |
Crystal Ball is a Microsoft® Excel®-based suite of analytical tools that includes Monte Carlo simulation, optimization, and forecasting. With little effort, you can apply these advanced analytical techniques to your new or existing spreadsheets to create more accurate cost and schedule predictions and better informed financial decisions.
With Crystal Ball, you can:
- Replace min/max estimates with more accurate range of all possible outcomes
- Reduce the time required to produce estimates,
- Eliminate multiple manual “what if” estimates,
- Mitigate your cost and schedule risks,
- Gain immediate insight to the driving inputs and output variations,
- Make knowledgeable decisions on where to focus resources, and
- Provide decision-makers with factual data that shows the risk associated with each choice.
Key
features of interest to your industry include sensitivity
analysis, correlation, and historical data fitting. The sensitivity
analysis helps you to understand which of the uncertain input variables
are most critical and drive the uncertainty of your cost
model. Correlation lets you link uncertain inputs and account
for their positive or negative dependencies. If historical data
does exist, the data fitting feature will compare the data to
the distribution algorithms and calculate the best possible fit
and parameters for your data.
LEARN MORE ABOUT CRYSTAL BALL FOR COST ESTIMATION
This page offers links to a growing number of resources, including recorded Web seminars, articles, white papers, case studies, and example models. Additionally, you can view a list of common uses and examples reported directly from customers using Crystal Ball. You can also download a free trial version of Crystal Ball to see how it can help improve your business forecasts and decisions!
"Your Crystal Ball software
is great! Within four days of receiving the program we were
up to speed and able to generate a contingency analysis for
a $45 million project! Very user friendly and an excellent
technical support staff. Great program at a great price!"
-- John Spray, V.P. Construction Operations, Day &
Zimmermann International Inc. |
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RECORDED WEB SEMINARS
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Cost and Risk Modelling - The Challenging Business Driver
Organisations today are increasingly challenged with cost and risk modelling. The seminar will provide case study examples and discuss the major issues in industry both from customer and supplier perspectives.
Presented by Professor Rajkumar Roy with Cost Engineering research at Cranfield University
Recorded July 5, 2007
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View recording
Download files
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Cost Estimating: "The Known Unknown"
Purchasing of materials in the chemical, plastic and fibre industries requires detailed cost estimation. This seminar presents a case study, where the economics of a multi-step chemical process were modelled.
Presented by Dr. Robin MacDonald, Managing Director, PCI Nylon
Recorded April 5, 2007
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View recording
Download files
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Scenario-Based Risk Analysis Using 2-D Simulation
Learn how stochastic simulation tools can be used to perform scenario-based risk analysis using two-dimensional simulation techniques to account for, and separate out, both cost estimating risks, and risks that are dependent on particular programmatic, design and manufacturing scenarios.
Presented by Raymond Covert, Technical Director at MCR, LLC
Recorded October 24, 2006
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View recording
Download files
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Simulation and Optimization as Effective Cost Estimation Tools
Simulation and optimization techniques can provide cost estimating and analysis professionals increased accuracy of estimates and simplified cost and schedule risk analysis, by modeling the probabilistic behavior of the cost estimate.
Presented by Crystal Campbell,Sr. Product Consultant with Crystal Ball
Recorded September 14, 2006
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View recording
Download files
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Cash Flow at Risk – Electronic Chip Production
Profitable production of electronic circuitry runs the gauntlet of unique technical and marketplace hurdles, all of which involve risk and cost. Many of these costs require stochastic models, because single point analysis fails to value various aspects of cash flow at risk.
Presented by Alan Gorlick, financial consultant and University of Phoenix faculty member
Recorded September 25, 2007
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View recording
Download files |
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Improve Business Value from Time and Cost Estimates: How BP uses Monte Carlo Analysis as a Risk Management Tool
Learn how a major oil and gas company has made Monte Carlo analysis a core skill of the thousand-strong well engineering staff at the world's largest privately-owned oil and gas operator.
Presented by Hugh Williamson, BP's global specialist on well cost estimation and risk management
Recorded May 24, 2006
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View recording
Download files
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Cost Optimization of Space Systems
Learn how stochastic simulation tools can be used to solve the problems of optimizing the total cost, affordability and effectiveness of a replacement space system.
Presented by Raymond Covert, Technical Director at MCR, LLC and Karl Luce, Master Black Belt at Decisioneering, Inc.
Recorded October 18, 2005
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View recording
Download files
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WHITE PAPERS AND ARTICLES
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Advances in Cost Estimating Relationship (CER) Development:Errors-in-Variables Regression (note: no formal paper is available for this talk, only the conference presentation)
Raymond Covert, Technical Director, MCR, LLC
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Download
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Basic Cost Risk Analysis: Using Crystal Ball on Government Life Cycle Cost Estimates
R. Kim Clark, Associate, Booz Allen Hamilton
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Download
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Basic Techniques for
Analyzing and Presentation of Cost Risk Analysis
By Randy Lorance & Robert Wendling |
Download |
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Benefits and Costs of Using Probabilistic Techniques in Human
Health Risk Assessments -- With an Emphasis on Site-Specific
Risk Assessments
By David Burmaster (on the Alceon Corporation Web site) |
Download |
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Comparing Crystal Ball with ACEIT
By Alfred Smith, Shu-Ping Hu, Tecolote Research Inc.
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Download |
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Integrated Cost / Schedule Risk Analysis
By David Hulett (PowerPoint presentation) |
Download |
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Introducción a la estimación
de costos referidos a daños ocasionados por desastres naturales
y costos de obras de mitigación por medios del uso de técnicas
de simulación
By Edgardo Alberto Masciarelli, Pablo Arranz, and Marcelo Esteban
Zeballos
(This is a Spanish-language paper: Introduction to the estimation
of costs referred to damages caused by natural disasters and
work costs of mitigation by means of the use of techniques of
simulation) |
Download |
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Modeling the Cost of Load and Wasteload Allocations
By Chris Miller (section on EPA site with case study and
optimization model for Crystal Ball) |
Download |
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Process Operating Costs
with Applications in Mine Planning and Risk Analysis
By Doug Halbe and T.J. Smolik (Presented at the SME Mineral
Processing 2002 Symposium) |
Download |
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Project Cost Risk Analysis
Using Crystal Ball
By David Hulett |
Download |
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CASE STUDIES
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Projecting Unit Cost Figures
3M Company's Use of Crystal Ball Improves Unit Cost
Estimates |
Download
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Lifecycle Cost and Benefit
Analysis
Use of Crystal Ball Pro Provides TRW With Increased Flexibility
and Efficiency |
Download
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EXAMPLE MODELS

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Cost Estimation Model
Detail: This model is a simplified cost estimating tool
for a project manager to understand the cost risks for a project. |
Download
For:
Crystal Ball
Level:
Simple |
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Groundwater Cleanup Costs
Detail: Your remediation company wants to bid on a project.
The costs for the different cleanup methods vary according to the
resources and time required for each (cleanup efficiency). With
historical and site-specific data available, you want to find the
best process and efficiency level that minimizes cost and still
meets the study's recommended standards with a 95% certainty. Includes
optimizations setting file and uses a decision variable to select
different sets of assumptions. |
Download
For:
Crystal Ball & OptQuest
Level:
Simple |
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Hardware Cost Estimation for
Aerospace Project
From: Ralph Geiger, Operational Concept Analyst, The Boeing
Company
Detail: This engineering cost assessment model uses a competitive
price estimate risk analysis for an avionics upgrade. The systems
engineers have developed a preliminary design configuration that
includes estimates for hardware, software, and systems engineering.
The model uses cell referencing and a correlation matrix. |
Download
For:
Crystal Ball
Level: Simple-
Moderate |
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Project Cost Example
Detail: At the click of a button, this simple VBA example defines distributions around a list of variables, defines a forecast, runs a simulation, and exports a forecast chart to the worksheet. You can add as many project elements as you like, and the VBA code is provided on a second worksheet within the model. |
Download
For:
Crystal Ball & Dev. Kit
Level:
Simple |
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COMMON USES & EXAMPLES
- Assist clients with risk analysis of complex capital projects - costs and schedules
- Cost estimation for chemical consumption with associated risks
- Cost risk assessment
- Develop ranges of costs for cost estimating
- Estimating income and costs for operating the College of Engineering and for educating students
- Evaluation of range of costs for environmental remediation projects
- Identifying risk in drilling cost estimation
- Prediction of various plant costs with uncertain levels of data accuracy
- Project Management Facility Maintenance Data Controller
- Risk analysis of cost estimates
- Risk/Cost analysis and probability to decide on appropriate money allowance for risk to be added to an estimate of a construction project cost
- Software development project cost forecasting
- Validate estimation cost and schedule
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