Cost Estimating Body of Knowledge (CEBok) Now Available From SCEA

June 16, 2009 · Filed Under Estimating  - 2 Comment(s)

The Cost Estimating Body of Knowledge (CEBok), the most robust cost guidebook available,  is the product of SCEA (Society of cost estimating and analysis)  The CEBok covers every aspect of cost estimating.  CEBok is available for e nominal licensing fee from SCEA.

The following is the outline of the CEBok.

•I.      Cost Estimating

In which we present the bread-and-butter work of turning data into cost estimates.

1.Cost Estimating Basics

Why cost estimating (and an overview of how)

Introduction to Cost Estimating and Analysis

Definition of Cost Estimating

Purpose of Cost Estimating

Reasons for Cost Estimating

Budgeting
Measured by track record
Planning
Measured by EVM Performance Indices
Trade-Offs
Measured by periodic Life Cycle Cost Estimate (LCCE)

Applications of Cost Estimating

Program Affordability
Acquisition Milestone Decisions
Budgets
Technology Changes
Analysis of Alternatives (AoA)
New Business Proposals
Source Selection
In-Process Reviews (IPRs)
Contracting and Project Management
Design Trade-Offs
Program Oversight

Cost Estimating Organizations

Cost Estimating Organizations Related Information
Examples
Estimates
Estimate Scope
View of Risk
Public Level
Press
Think Tanks
Academia
Government Level
Executive Branch

Office of Management and Budget (OMB)

Legislative Branch

Congressional Budget Office (CBO)

Government Accountability Office (GAO)

Department Level
Office of the Secretary of Defense (OSD) Cost Analysis Improvement Group (CAIG)
Office of the Director of National Intelligence (ODNI) CAIG
Mission Level
Service/Agency/Office
Naval Center for Cost Analysis (NCCA)
Air Force Cost Analysis Agency (AFCAA)
U.S. Army Cost and Economic Analysis Center (CEAC)
Architecture Level
Directorate/Systems Command (SYSCOM)
Program Level
Program Executive Office (PEO)/Program Office
Contract Level
Prime Contractor/Lead Systems Integrator (LSI)
Subcontractors

Cost Estimators

Cost Estimating Disciplines

Mathematics
Arithmetic
Algebra and Functional Forms
Probability and Statistics
Numerical Methods
Operations Research (OR)
Management Science
Modeling and Simulation (M&S)
(Constrained) Optimization
Industrial Engineering (IE)
Economics
Econometrics
Business
Finance
Budgeting
Programming, Planning, Budgeting, and Execution System (PPBES)
Accounting
Financial Systems
Enterprise Resource Planning (ERP)
Management Accounting
Computer Science
Software Development

Engineering

Mechanical Engineering
Electrical Engineering
Aerospace Engineering
Naval Architecture
Systems Engineering
Physics
Production Engineering/Manufacturing
Logistics
Marketing
Sales
Business Development
Voice of the Customer (VoC)
Written Communication
Public Speaking / Presentation Skills
Contracting
Contract Pricing

Overview of Cost Estimating and Analysis

Context for Cost Estimating

Requirements Process
Joint Capabilities Integration Development System (JCIDS)
Initial Capabilities Document (ICD)

Formerly Mission Needs Statement (MNS)

Capabilities Development Document (CDD)

Formerly Operational Requirements Document (ORD)

Capability Production Document (CPD)
Budgeting Process
PPBES
Acquisition Process
DoD 5000 series

Benefits of Cost Estimating

Cost Estimate Qualities

Limitations of Cost Estimating

Cost Estimating Challenges


Cost Products

Program/System Baseline

Cost Analysis Requirements Description (CARD)
System Technical Description

Work Breakdown Structure (WBS)

Predecessor System Description
Manpower Requirements
Risk
Operational Concept
Deployment
Logistics Support Concept
Training
Cost and Software Data Reporting (CSDR) Plan
Acquisition Schedule
Acquisition Strategy
System Test and Evaluation (ST&E)
Environmental Impact Analysis
Track to Prior CARD
Intelligence Capability Baseline Description (ICBD)
Cost Analysis Data Requirement (CADRe)

Types of Cost Estimates

Life Cycle Cost Estimate (LCCE)
Independent Cost Estimate (ICE)
Positional Definition of Independence
Budget Estimate
Rough Order of Magnitude (ROM)

AKA Quick-Look Assessment, WAG, SWAG

Independent Cost Assessment (ICA)

AKA Budget Sufficiency Review (BSR), Independent Cost Evaluation (ICE)

Estimate At Complete (EAC)
Cost/Price Proposal
Analysis of Alternatives (AoA)
Economic Analysis (EA)

Cost Estimate

Cost Model
Cost Model Components

Inputs

Outputs

Methods

Constraints

Cost Model Characteristics
Estimate Documentation


Cost Estimating Process

Work Breakdown Structure (WBS) Development

WBS and Cost Element Structure (CES)
Program WBS
CCDR Data Item Descriptions (DIDs)
Contract WBS
WBS Dictionary
MIL-HDBK-881A
Commodity-specific CES

Program/System Baseline Definition

Data Collection, Normalization, and Analysis

Cost Element Methodology

Model Development and Validation

Risk Analysis
Time Phasing
Cross-Checks

Results and Report Generation

Estimate Reconciliation
Murder Boards and Formal Reviews

Cost Estimating Certification

Cost Estimating Regulations

Title 10 U.S.C.

Intelligence Reform and Terrorism Prevention Act (IRTPA)

Clinger-Cohen Act

DoD 5000 series

DoDI 7041.3

CJCSI 3170.10F

“Hilbert’s Problems” for Cost Estimating

Technology Readiness Levels (TRLs)


The basic types of cost estimates

The Cost Estimating Framework

Past:� Understanding your historical data

Present: Developing estimating tools

Future:� Estimating the new system

Uncertainty and Risk

Precision vs. accuracy

Costing Techniques

Costing Techniques Related Information

Method
Application
Strengths
Weaknesses
Challenges
Example
Quantification of Uncertainty and Risk

Analogy

AKA Comparison Estimating, Scaling, Analysis of Analogues

Parametric

Calibrated CERs and Adjusted Analogies

Build-Up

AKA Engineering Build-Up, Grass-roots Estimate

Subordinate Techniques

Extrapolation from Actuals

AKA Empirical Estimating

Averages
Learning Curve
Estimate at Complete (EAC)

Expert Opinion

AKA Engineering Judgment, Round Table, Delphi Technique

Using Costing Techniques

Estimate Requirements and Program Status

Adequacy of program definition
Availability of data
Time constraints

Top Down vs. Bottom Up

Cost Element Structure (CES)

Technique Selection

Checking Results

Documentation

Comparison of Techniques

Advocacy

Life-Cycle Applicability

Analogies and Rates

Below-The-Line (BTL) Factors

AKA “Cost-on-Cost” CERs

Schedule Estimating

Reliability Theory


3.Parametric Estimating

From data to CERs

Parametric Estimating Process

Data Collection

Parametric Values

Cost Driver Identification

Cost Drivers vs. Cost Passengers
Proxy Variables
Dummy Variables

Cost Estimating Relationship (CER) Development

Rates, Factors, and Ratios
Functional Forms
Regression
Calibration

Parametric Model Development

Validation of Parametric Inputs
Updating CERs
Cost Response Curves (CRCs)
Sensitivity Analysis

Multivariate CERs

Parametric Analysis of Technical Parameters

Off-The-Shelf Models

Parametric Estimating Models

PRICE
SEER
COCOMO II

Model Development Tools

ACE-IT


II.Cost Analysis Techniques

In which we present the techniques used to collect, normalize, and (de)escalate cost data as an input to the cost estimating process.

4.Data Collection and Normalization

How to get the data and how to normalize it

Importance of Data

Data Key Principles

Reducible and Irreducible Noise

Sampling / Measurement Error

Types of Data

Cost, Technical, Programmatic

Primary vs. Secondary

Quality of Data Types

Quantitative vs. Qualitative

Objective vs. Subjective

Univariate, Bivariate, Multivariate

Data Collection Considerations

Contextual Completeness

Availability

Accessibility

Validity

Time Constraints

Estimate Requirements

Pitfalls

Special Data Needs

Data Collection Process

Understand Data Requirements and Resources

Establish Estimate Structure and Boundaries

Understand Estimate Technique Data Collection Needs

Develop Data Collection Plan


Data Collection Techniques

Site/Plant Visits (Observations)

Interviews

Surveys

Questionnaires

Focus Groups

Test and Assessments (historic)

Document Review

Data Mining

Data Sources

CARD/ICBD

Requirements Documents

Contractor Accounting Systems

Contractor Cost Reports

Cost and Software Data Reports (CSDRs)
Contractor Cost Data Reports (CCDRs)
Cost Performance Reports (CPRs)
Formats 1-5
Contract Funds Status Reports (CFSRs)
Other CDRLs

Databases

DoD Historical Databases
Defense Cost Analysis Resource Center (DCARC)
ACDB
Organization commodity-specific databases
Technical Databases

Contractor-Provided Documentation

Time Standards

AKA Work Measurement Standards

Contracts and Cost Proposals

Priced Bill Of Materials (BOM)

Cost Analysis Studies

Catalogs

Budget Data

Competitive Intelligence, Market Analysis, Benchmarking

The Internet

Data Normalization

Cost, Quantity, and Sizing

Escalation
Unit Conversion

Content

Cost Types
Overhead Changes
End-Item Homogeneity
WBS Mapping
Make-Buy Changes

State of Development

Key Groupings

Non-Recurring vs. Recurring Cost

TRLs Descriptions

Data Collection for Risk Analysis

Initial and Final Values


5.Inflation and Index Numbers

How to adjust for the general rise in prices over time

Inflation and Cost Estimating

Base-Year Estimating Paradigm

Inflation Impact on Estimates

Inflation Concepts and Definitions

Inflation and Escalation

Escalation vs. Discounting

Index Numbers

Consumer Price Index (CPI)

Current-Year dollars

Constant-Year dollars

Then-Year (budget) dollars

Base-Year dollars

Appropriations

Commitments
Obligations
Expenditures
Outlay profiles
Colors of Money
Research, Development, Test and Evaluation (RDT&E)
Procurement
Operations and Maintenance (O&M)

Inflation Indices

Raw indices

Composite Indices

Weighted Average

Weighted indices

Budget year multipliers (BYM)

Inflation Tables and Escalation Procedures

Index Tables

Layout
Creating tables
Shifting Base Year of tables

Conversions

CY$ to CY$
CY$ to TY$
TY$ to CY$
TY$ to TY$

Time Phasing Methodologies

Doubling Time

Custom Indices

Mathematical Means

Arithmetic Mean

Geometric Mean

Harmonic Mean

Inflation Pitfalls and Means


III.� Analytical Methods

In which we present the mathematical tools needed to address correlation, cost improvement, and uncertainty in cost estimating.

6.Basic Data Analysis Principles

What to do once you get the data

Types of data

Univariate

Bivariate

Multivariate

Time Series

Autocorrelation

Univariate Data Analysis

Visual Display of Information

Histograms
Box plots
Stem-and-leaf plots
Pie charts

Measures of Central Tendency

Mean
Average Cost
Mental Math Trick
Median
Mode

Measures of Variability

Range
Variance
Standard Deviation
Coefficient of Variation (CV)

Measures of Uncertainty

Confidence Intervals
Sufficiently Large and
Sample Size Thumb Rule
Prediction Intervals

Statistical Tests

t test for means
Chi-Square and K-S tests for distribution

Scatter Plots

Variables

Cost vs. parameter
Cost vs. time
Cost vs. cost

Axes

Unit Space (standard Cartesian)
Semi-log
Log-log

Function types

Linear
Power
Exponential and logarithmic
Constant terms

Data Validation

Descriptive statistics

Bar charts

Outliers

Rules of thumb

Visual Display of Information


7. Learning Curve Analysis

How to account for cost improvement

Learning Curve Theory

Learning Curve Concepts

Slope
Theoretical First Unit (T1)
Equation

Learning Curve Data

Unit Cost Data
Cumulative Cost Data
Cumulative Average Cost Data
Lot Data

Cumulative Average Learning Curve Theory (CUMAV)

AKA Wright

Unit Learning Curve Theory (ULC)

AKA Crawford

Lot Data and Lot Midpoints (LMP)

LMP Formula

Quadratic? Cf. chapter in David Lee’s Cost Analyst’s Companion

LMP Heuristic
LMP Approximation
LMP Rules of Thumb

Learning Curve Application

Choosing a Learning Curve Theory

Fitting a Learning Curve

Industry Average Curves

Factors Affecting Slope

Learning Curves for New Programs

Prototypes and Step-Up/Step-Down Factors

Quantity As an Independent Variable (QAIV)

Laws of Logarithms

Production Break Effects

Break Point

Andelohr

New Work Effects

Production Rate Effects


8.Regression Analysis

How to develop and assess a CER

Bivariate Data Analysis

Visual Display of Information

Scatter plot
Residual plots

Measures of Central Tendency

Y-hat from regression equation

Measures of Variability

Standard Error of the Estimate (SEE)
R-squared

Measures of Uncertainty

Confidence Intervals
Prediction Intervals

Statistical Tests

F test
t test
Analysis of Variance (ANOVA)

Regression Models

Ordinary Least Squares (OLS)

Linear Regression
Non-Linear Models
Multivariate Regression

Non-OLS Models

Generalized Least Squares
General Error Regression Models (GERM)
Iteratively Reweighted Least Squares (IRLS)
Weighted Least Squares (WLS)
Minimum Unbiased Percent Error (MUPE)
Zero Percent Bias (ZPB) Minimum Percent Error (ZMPE)

Regression Analysis in Excel

Data Analysis ToolPak macro

LINEST() and LOGEST() formulae

Trendlines


Definition of Regression

Regression Analysis in Cost Estimating

Preliminary Concepts

Correlation

Causation

Functional Forms

Linear Relationships
Power Functions
Exponential Functions
Logarithmic Functions
Polynomial Functions

Linear Regression

Assumptions for Linear Regression Models

Finding the Equation

Slope
Intercept
Residual Analysis

Goodness of Fit

Analysis of Variance (ANOVA)
Regression Sum of Squares (SSR)
Sum Squared Error (SSE)
Total Sum of Squares (SST)
Uncertainty
Standard Error of regression coefficients
Coefficient of Variation (CV)
Statistical Significance
Significance Level
t statistic
F statistic
Explained Variation
R-squared

Confidence Intervals

Prediction Intervals

Multivariate Regression Analysis

Adjusted R-squared

Multicollinearity

Paring down the multiple regression model


Selecting the Best Model

Selecting “Within Type”

Selecting “Across Type”

Geometric Interpretations

Derivation of Formulae

The Bivariate Normal Distribution and the Geometry of Regression


9.Cost and Schedule Risk Analysis

How to adjust your estimate for uncertainty and historical cost and schedule growth

Concepts and Definitions

Independence and Cost Realism

Cost Growth

Cost Risk

Cost Estimating Risk
Schedule/Technical Risk
Requirements Risk
Threat Risk

Risk and Uncertainty

Risks and Opportunities

Types of Cost Risk Models

Historically-Based vs. Expert-Opinion-Based

Inputs Risk vs. Outputs Risk

Risk Model Architecture

Inputs – Scoring

Inputs – Dollar Basis

Structure – Organization

Coverage and Partition
Assigning Cost to Risk
Below-the-Line

Structure – Probability Model

Distribution
Correlation
Functional Correlation
Relational Correlation
Injected Correlation

Execution – Computation

Execution – Cross-Checks

Risk Management

Risk Cube


Historical Cost Growth Analysis

Selected Acquisition Reports (SARs)

Contract Data

Common Problems

Applicability
Currency

Program Phase

Commodity

Phase-to-Phase Correlation

Risk and Uncertainty of OLS CER-Based Estimates

Schedule Risk Analysis

Schedule Networks

Distribution of Schedule Risk

Schedule and Cost Growth

Predicting EAC Growth

Size Adjustments

Self-Fulfilling Prophecy

Geometry of the Bivariate Normal


10.Probability and Statistics

Mathematical underpinnings of cost estimating

Concepts and Definitions

Probability

Statistics

Role of Probability and Statistics in Cost Estimating

Population vs. Sample

Random Variables

Discrete vs. Continuous

Probability Density Function (PDF)

Cumulative Distribution Function (CDF)

Descriptive vs. Inferential Statistics

Parametric vs. Non-Parametric Statistics

Measures of Central Tendency

Mean

Median

Mean, Median, and Skew

Mode

Measures of Variability

Variance

Standard Deviation

Coefficient of Variation (CV)

Probability Distributions

Normal

Central Limit Theorem
Bivariate Normal

Student’s t

Lognormal

Normal vs .Lognormal

F

Triangular


Other Continuous Distributions

Chi-Square
Rayleigh
Beta
Extreme Value

Discrete Distributions

Bernoulli

Relationships between Distributions

Covariance and Correlation of Random Variables

Hypothesis Testing

Null Hypothesis and Alternative Hypothesis

One-Tail vs. Two-Tail Tests

Statistical Significance

Type I and Type II Errors

Test Statistic

Critical Value

P-Values

Confidence Intervals

Statistical Tests

t test

One-sample
Two-sample

F test

Chi Square test for variance

k-Sample test for means

Chi Square goodness of fit test

Kolmogorov-Smirnov (K-S)

Monte Carlo Simulation

Inverse CDF technique

Off-the-Shelf Risk Tools

Crystal Ball
@Risk


IV.� Specialized Costing

In which we present the particular issues associated with two important cost estimating environments.

11.Manufacturing Cost Estimating

Techniques for estimating in a manufacturing environment

Manufacturing Process Overview

Manufacturing Functional Cost Elements

Engineering

Prototyping
Advanced Development Models (ADMs)
Engineering Development Models (EDMs)

Tooling

Production Setup
Setup Time
Fixed vs. Variable Cost
Test Equipment
Facilities

Manufacturing

Run Time

Quality Control (QC)

Labor Estimating

Time Standards

AKA Labor Hour Standards, Standard Hour Cost

Time and Motion Studies
Personal Fatigue and Delay (PF&D)
Variance Factor (VF)
Realization Factor (RF)

AKA Efficiency, Performance To Standards (PTS), Performance Factor

Support Labor

CERs for “Non-Standard” Elements


Standard Cost Accounting Elements

Direct Labor
Direct Salary
Fringe Benefits
Indirect Cost
Overheads

AKA Burdens

Absorption Costing

General and Administrative (G&A)
Facilities Capital Cost of Money (FCCOM)
Profit/Fee

Labor Concerns

Learning Curve
Production Breaks
Green Labor
Process Improvements
Equipment Utilization Rate
Make or Buy

Rates Estimating

Forward Pricing Rate Agreements (FPRAs)
Composite Labor Rates
Correct Labor Mix
Rate Premiums
Organized Labor

Material Estimating

Material Costs

Raw Material
Purchased Parts
Subcontractor Costs

Types of Raw Materials

Material Concerns

Tolerances
Quality
Scrap Rates

AKA Yield Rates, Material Usage Allowance (MUA)

Computer-Aided Design (CAD) and Computer-Aided Manufacturing (CAM)

Material Take-Off List (MTOL)

Material Manufacturability


Manufacturing Process Issues

3D Modeling

Integrated Product and Process Development (IPPD)

Lean Manufacturing

Six Sigma

Agile Manufacturing

Quality Assurance (QA)

Correcting Standards and RF as a Metric

Classified Manufacturing Issues


12.Software Cost Estimating

Techniques for estimating in a software development environment

Software Overview

Software Development Process

Work Breakdown Structure (WBS) for Software Programs

Comparison and Contrast to Hardware

Major Categories

Platform
Enterprise Resource Planning (ERP) Systems
Automated Information System (AIS)

Software Development Approaches

Programming
Linear
Object-Oriented
Life Cycle Methodologies
Waterfall
Incremental
Evolutionary
Spiral

Software Cost Drivers

Size

Source Lines Of Code (SLOC)
Code Reuse and Equivalent SLOC (ESLOC)
Function Points
Object Points

Complexity

Capability

Development Schedule

Schedule Compression

Post-Deployment Software Support

Software Maintenance

Help Desk

Estimating Techniques Applied to Software

Analogy

Parametric


Challenges in Estimating Software

Sizing

Technology

Quality

COTS Software

Calibration

Databases

Code Growth

Labor Supply and Demand

Industry Standards and Rules of Thumb

Software Data Collection

Software Resources Data Reports (SRDRs)

Off-The-Shelf Models

COCOMO II

SEER SEM

True S

Software Buzzwords

Firmware

Agile Development

Software as a Service (SaaS)

Service Oriented Architecture (SOA)

Interoperability

Net-Centric Operations

Data-Centric Architectures

Open Source Software


V.� Management Applications

In which we present the use of cost estimating within project management, relating cost to value and in so doing returning to our starting point of why we do cost estimating in the first place.

13.Economic Analysis

How to choose between investment options

Principles of Economic Analysis (EA)

Definition and Purpose

AKA Cost-Benefit Analysis, Business Case Analysis

EA Regulations

DoD Guidance
Clinger-Cohen Act
OMB
Capital Budgeting

EA Process

Define the Objective

Formulate and Validate Assumptions

Strict Constraints
Assumptions of Convenience

Identify and Examine Alternatives

Status Quo
Modernize existing assets
Lease/Privatization
New Acquisition

Develop Cost and Benefits Estimates

Economic Life
Physical Life
Mission Life
Technological Life
Period of Analysis
Shortest Life
Common Denominator Life
Uniform Annual Cost
Type of Dollars
Constant Dollars
Current Dollars
Base Year


Costs
LCC
Opportunity costs
Imputed costs
Status Quo phase-out costs
Sunk costs
Wash costs
Benefits
Quantifiable, monetary
Quantifiable, non-monetary
Non-quantifiable
Cost savings
Cost avoidance
Improved productivity
Residual value
Terminal value
Salvage value
Realized benefits
Wash benefits

Compare and Rank Alternatives

Time Phasing
Inflation
Discounting
Time Value of Money
Present Value
Real Discount Rates
Nominal Discount Rates
Discount Factors (mid-year and end-of-year)
Comparison Techniques
Net Present Value (NPV)
Uniform Annual Cost (UAC)
Cost/Benefit Ratio (C/BR)
Savings/Investment Ratio (SIR)
Internal Rate of Return (IRR)

AKA Return on Investment (ROI)

Payback Period Analysis
Break-Even Analysis

Test Sensitivity of Alternative Rankings

Formulate Recommendation


Special Cases

Functional Economic Analysis (FEA)

Commercial Activities (A-76)

Analysis of Alternatives (AoA)

AKA Cost and Operational Effectiveness Assessment (COEA)

Lease-Purchase Decisions

Other Special Cases

MILCON Projects
Overseas Activities
Warranty Analysis
Asset Sale Analysis

Quantifying Non-Monetary Benefits

Depreciation Methods

Straight Line

Multiple Straight Line

Sinking Fund

Declining Balance

Modified Accelerated Cost Recovery System (MACRS)

Sum of the Years’ Digits

Units of Production

Units of Time


14.Contract Pricing

The role of cost estimating in the contracting process

Background

Acquisition Planning

Acquisition Process

Contracting Process

Contract Pricing Process

Determining the Contract Vehicle

Program Risk
Program Phase
Commodity-specific concerns

Creating the Cost/Pricing Proposal

Performing the Cost/Price Comparative Analysis

Pricing Contract Changes

Contract Types

Federal Acquisition Regulation (FAR) Section 16

Cost Reimbursable vs. Fixed Price

Incentive vs. Non-Incentive

Share-Lines and Share Ratios

Completion vs. Best Efforts

Contract End Items

Contract Types and Risk

Default Risk
Good Will Risk

Fee, Profit, and Margin

Revenue

Fixed Price

Firm Fixed Price (FFP)
Fixed Price Incentive (FPI)
Firm and Successive Targets
Ceiling Price
Point of Total Assumption (PTA)
Share Ratios

 

Cost Plus

Cost Plus Award Fee (CPAF)
Cost Plus Incentive Fee (CPIF)
Minimum and maximum fee
Cost Plus Fixed Fee (CPFF)
Not-to-Exceed Cost

Other Contract Types

Indefinite-Delivery Indefinite Quantity (ID/IQ)
Time-and-Materials (T&M)
Labor-Hour
Letter Contracts

Uniform Contract Format

Basis of Estimate (BOE) Documentation

Estimating Methodologies

Estimate Qualities

Estimate Validity

BOE Review

Uniform Contract Format

Cost Accounting Standards (CAS)

Allowable Costs

Labor Cost Accounting

Material Cost Accounting


15.Earned Value Management (EVM)

Tracking cost and schedule performance on projects

Earned Value Management (EVM) Introduction

EVM Purpose and Benefits

EVM Applicability

EVM History

EVM Regulations

EVM Components

Integrated Baseline

Resource-Loaded Schedule = Time-Phased Budget
Work Breakdown Structure (WBS)
Organizational Breakdown Structure (OBS)
Control Accounts and Control Account Managers (CAMs)
Performance Measurement Baseline (PMB)
Work Packages
Planning Packages
Undistributed Budget
“Rolling Wave”
Management Reserve (MR)
Contract Budget Base (CBB)

Earned Value Data Elements

Planned Value (PV) = Budgeted Cost of Work Scheduled (BCWS)
Earned Value (EV) = Budgeted Cost of Work Performed (BCWP)
Actual Cost (AC) = Actual Cost of Work Performed (ACWP)
Budget At Complete (BAC)
Latest Revised Estimate (LRE)

Earned Value Techniques

Milestone (Weighted)
Percent Complete
0/100
50/50 (or X%/Y%)
Level Of Effort (LOE)

Earned Value Analysis

Analysis of Past Performance

Cost Variance (CV)
Schedule Variance (SV)
Cost Performance Index (CPI)
Schedule Performance Index (SPI)
MR Usage
Percent Planned
Percent Complete
Percent Spent
Past Performance Root Causes
Past Performance Anomalies

Variance Reports

Projection of Future Performance

Estimate At Complete (EAC)
Variance At Complete (VAC)
To-complete Cost Performance Index (TCPI)

Earned Value Review Process

Cost Reports

Contract Performance Report (CPR)

Formats 1-5

Contract Funds Status Report (CFSR)

Integrated Baseline Review (IBR)

Baseline Analysis

Rebaselining

Over Target Baseline (OTB)

Over Target Schedule (OTS)

EVM Tripwires

EV and the Integrated Master Schedule (IMS)

Earned Schedule

Risk Management Integration with EVM

Advanced EACs

Progress-Based EACs

Rules of Thumb

Earned Value Tools

EV Engines

Artemis CostView
Dekker TRAKKER
Cobra
MicroFrame Project Manager (MPM)

EV Analysis Tools

wInsight
Dekker iPursuit


16.Cost Management

Managing cost, performance, and value

Cost Management Overview

Impetus for Cost Management

Definition of Cost Management

Objectives of Cost Management

Product and Process Costs

Methodologies and Tools

Government Perspective
Performance-Based Logistics (PBL
Total Life Cycle Systems Management
Cost As an Independent Variable (CAIV)
Simulation-Based Acquisition (SBA)
Open Systems Architecture (OSA)
Commercial Off-The-Shelf (COTS) technology
Affordability Through Commonality (ATC)
Specifications and Standards
Concurrent Engineering and Supportability Analysis (CESA)
Integrated Product and Process Development (IPPD)
Activity-Based Costing and Management (ABC/M)
Performance and contract incentives
Outsourcing and Right-sourcing
Defense Industrial Base
Commercial Perspective
ABC/M
Life Cycle Costing
Target Costing
Time To Market
Value Engineering
Quality Function Deployment (QFD)
Capacity Management
Lean Manufacturing and Agile Manufacturing
Statistical Process Control (SPC) and Six Sigma
Benchmarking
Voice of the Customer (VOC)
Customer Relationship Management (CRM)
Supply Chain Management
Process Management and Business Process Reengineering (BPR)
Continuous Improvement (Kaizen)

 

Total Ownership Cost (TOC)

Life Cycle Costing

Linked Indirect Costs

Life Cycle Cost Elements

Sunk Costs
Acquisition Costs
Research and Development (R&D)
Production

Rollaway/sailaway/flyaway

Average unit procurement cost (AUPC)

Operations and Support (O&S) Costs
Disposal Costs

TOC Reduction and Cost Management

Cost As an Independent Variable (CAIV)

CAIV Definition

Cost/Performance Trades

Linkage
Performance

Measures of Effectiveness

Cost
Exchange Rate
Equal Preference Curves
Decision Analysis
Dominance
“Bang for the buck”
Extreme Cost Curves
Setting Thresholds and Objectives

Role of Cost Estimating

Performance Estimating Relationships (PERs)

Should Cost


Target Costing

Evolution of Target Costing

Target Costing Definition

Price led
Customer focused
Design centered
Design to Cost (DTC)
Cross functional
Life-cycle oriented
Value-chain based

Target Costing vs. CAIV

Target Costing Tools

Benefits of Target Costing

Activity Based Costing (ABC)

ABC Model

Resources
Activities
Outputs (Cost Objects)

ABC and Activity-Based Management (ABM)

Role of Cost in ABC/M

Initiatives and Cost Estimating



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Comments

2 Responses to “Cost Estimating Body of Knowledge (CEBok) Now Available From SCEA”

  1. John Leschke on March 11th, 2010 9:50 am

    Hello

    I am a university professor doing research on the definition of setup time and setup cost as used in product costing systems.

    My prior work has focused on reducing setup times and costs from the operations and engineering perspective. Now I am curious as to how the cost accounting function accounts for setup (changeover) costs. My experience may suggest an enriched definition is warranted.

    Questions:
    Can you direct me to a first hand source?
    Is there a standard definition/method prescribed by the cost accounting community?
    What are alternative definitions of setup time/cost, if any?
    How are setup costs calculated in common ERP cost accounting modules? What fields are provided? What drivers are suggested?
    Are such systems flexible enough to allow custom definitions?

    Any help you can provide will be appreciated.

    Sincerely
    John Leschke, MBA, PhD (U of Wisconsin- Stevens Point starting Fall 2010)

  2. galorath on March 12th, 2010 7:14 am

    Galorath’s Joe Falque provided an answer at http://www.galorath.com/wp/accounting-definitions-for-steup.php

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