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Boeing “Value Front” Tool (VFT) Multi-Attribute Trade Study Tool
A Phantom Works System Assessment team effort
Mark SchankmanPhantom Works Affordability Engineering
Cost & Affordability
Decision Analysis Effectiveness Analysis
23 March 2005
Chart 2
23 March 2005
Agenda
• Goals of this Presentation
• Definitions
• Purpose of Tool
• Background to Value Front Tool
• Demonstration Trade Study
• Methods and Tool Process
• Summary and Questions
Chart 3
23 March 2005
Goals of this Workshop
• Familiarize you: Trade Study Methods and Tool
• Inform you:
– Use of Multi-Attribute Decision Methods for Design Trade Studies
• Solicit Your Ideas: Potential Applications of Trade Study Tool
• Have FUN !!
Chart 4
23 March 2005
Definition of Terms
• VFT: Value Front Tool
• LCC: Life Cycle Cost
• Uncertainty: Degree to which the cost, technical performance, or schedule is unknown(measured by probability distributions)
• CAIV: Cost as an Independent Variable (also known as: “Target Costing”)
Illustration: Design a Hot Beverage Container
Chart 5
23 March 2005
Uti
lity
(C
ust
om
er S
atis
fact
ion
) o
r P
erfo
rman
ce
Cost
PerformanceThreshold (minimum)
Cost Objective (Target)
PerformanceObjective (desired)
Cost Threshold(not to exceed)
Trade Space
Best Value Concepts Lie on the “Value Front Line”
“Value Front” = Concepts that Maximize Customer Satisfaction with the Least Increase in Cost
Value Front Tool Identifies “Best Value” Alternatives Within the Trade Space
Concepts that provide less value per $
Chart 6
23 March 2005
CAIV Analysis Includes Measure of Performance & Cost Uncertainty
Util
ity =
Cus
tom
er D
esira
bilit
y
Life Cycle Cost
Value Front = Best Value Concepts
Technical Uncertainty
Cost & ScheduleUncertainty
Trade Space
Chart 7
23 March 2005
Methods Needed to Evaluate “Best Value”
Value FrontTool
Customer Need Priorities(Decision Analysis)
CustomerDesirability
Attribute Value
O/SDevProd
Cost-Risk
Attribute Value Distribution
UncertaintySimulation
Chart 8
23 March 2005
Value Front Method and Tool Capabilitiesthat Meet Systems Engineering Needs
• Link performance, cost, effectiveness and “risk” and measures their ability to meet customer needs
• Identify “Best Value” solutions in the design space = Systems Engineering Process for Trade Studies
• Include uncertainty in trade study evaluations
(Boeing PRO 4819: ..“balance cost, performance, & risk)
Boeing success as Systems Integrator depends on tools that Deploy the Systems Engineering Process
Chart 9
23 March 2005
Systems Engineering Trade Study Process Key Steps Addressed by Value Front Tool
Value Front Tool Provides Discipline to the Systems Engineering Trade Study Process
Define thepurpose
Establishevaluation
criteria & weightsthat meet customer needs
Identifyalternativesolutions
Screenalternatives
Document results
Analyze results Select “Best Value”
alternative
Evaluate “down selected” alternatives
– Performance– Weight– Reliability– Effectiveness– Safety– Etc
Trades -77/28/00
Accept/reject results
Steps in Value
Front Tool
Chart 10
23 March 2005
Example Value Front Tool Analysis :
Which Drip Coffee Maker to Buy ?
Typical Consumer Reports®
Value Comparison•Chart from “Consumer Reports” Dec 2004, “Coffee Makers”
We all evaluate performance criteria (if just in our heads)
Value Comparison
• Performance Criteria scored
• Total utility score
Performance Criteria
Average Cost
Chart 12
23 March 2005
Value Front ToolInputs Required
• Performance Criteria relative importance (from QFD or other Decision Analysis methods)
• Performance Criteria values (e.g., Warranty period in years)
• Utility Curves (use threshold and objective values) (must represent customer’s expectations)
• Life Cycle Cost(Purchase Price + Operating cost ) **
** Assume Development Cost included in Purchase Price
Chart 13
23 March 2005Sample Evaluation Criteria Scores Braun KF400
Source: Consumer Reports© December 2004
Attributes evaluated for five coffee makers
Chart 14
23 March 2005
Choose Your Criteria Scores & Weights“Mr. Coffee©” Coffee Maker
X X X X X X
Chart 15
23 March 2005Boeing Value Front ToolMain Screen
Chart 16
23 March 2005Evaluation Criteria Scores from VFTFive Coffee Maker Comparison
Attribute Scores based on Consumer Reports®
UtilityScore
WT*ScoreUtilityScore
WT*ScoreUtilityScore
WT*ScoreUtilityScore
WT*ScoreUtilityScore
WT*Score
Attribute NameAttribute Weight
(expected)
Ease of use 0.20 0.90 0.17 0.90 0.17 0.80 0.15 0.97 0.18 0.60 0.11
Brewing 0.30 0.95 0.31 0.90 0.29 0.80 0.26 0.50 0.16 0.50 0.16
Programmable 0.10 0.00 0.00 1.00 0.09 1.00 0.09 0.10 0.01 0.10 0.01
Cleaning 0.20 0.40 0.08 0.80 0.15 0.80 0.15 0.87 0.16 0.50 0.09
Cool to touch/ temperature
0.10 0.60 0.06 1.00 0.09 0.80 0.08 0.00 0.00 0.60 0.06
Warranty period (years)
0.10 1.00 0.11 1.00 0.11 1.00 0.11 0.40 0.04 0.80 0.09
Total WeightedUtility Score
1.00 0.72 0.91 0.84 0.56 0.52
Utility Uncertainty Metric 27% 23% 23% 27% 25%
Proctor SilexBraun KF400 Compresso Braun KF180 Black & Decker
Coffee Maker
Price: $20 $170 $60 $35 $15“You Get What You Pay For”
Good
Poor
Chart 17
23 March 2005
0
0.1
0.2
0.3
0.4
0.5
0.6
0.7
0.8
0.9
1
$0 $50 $100 $150 $200 $250
Life Cycle Cost(Purchase Price + Operating Cost in Dollars)
Uti
lity
Sc
ore
(Wei
gh
ted
Ave
rag
e)
0
0.1
0.2
0.3
0.4
0.5
0.6
0.7
0.8
0.9
1
$0 $50 $100 $150 $200 $250
Life Cycle Cost(Purchase Price + Operating Cost in Dollars)
Util
ity S
core
(W
eig
hte
d A
vera
ge)
Value Front
Value Front Tool Results Utility Value vs. Cost (CAIV)
Black & Decker
Proctor Silex
Braun KF400
Compresso
Braun KF180
Chart 18
23 March 2005
Method to Visualize Utility and Best Value Uncertainty
PerformanceAttribute (eg, range, speed)
Producibility
Reliability
Safety Mission Effectiveness(eg, survivability)
Risk - measured as the probability that attribute is less than expected (in Value Front Method)
Utility - Extent to which customer
is satisfied
Chart 19
23 March 2005
Utility Attribute Contribution for Concept 2
0.00
0.20
0.40
0.60
0.80
1.001
2
3
4
5
6
Value Front ToolUtility Plot for Compresso Coffee Maker
Brewing
Warranty
Ease of Use
Cool to Touch
Cleaning
Programmable
Utility - Extent to which customer
is satisfied
Utility Score = 1.0
Chart 20
23 March 2005Utility Radar Plots All Coffee Makers Evaluated
Braun KF400
CompressoBraun KF180
Black & Decker
Proctor Silex
Utility Attribute Contributionfor Concept 3
0.00
0.20
0.40
0.60
0.80
1.001
2
3
4
5
6
Utility Attribute Contributionfor Concept 1
0.00
0.20
0.40
0.60
0.80
1.001
2
3
4
5
6
Utility Attribute Contributionfor Concept 2
0.00
0.20
0.40
0.60
0.80
1.001
2
3
4
5
6
Utility Attribute Contributionfor Concept 4
0.00
0.20
0.40
0.60
0.80
1.001
2
3
4
5
6
Utility Attribute Contributionfor Concept 5
0.00
0.20
0.40
0.60
0.80
1.001
2
3
4
5
6
Chart 21
23 March 2005
Methodology Used in
Value Front Tool
Chart 22
23 March 2005
Trade Study Methods are Integrated withValue Front Tool
Plot Utility vs CostIdentify Value Front
Util
ity =
Des
irabi
lity
Cost
Value Front3
CAIV Analysis identifies “best value”
•Utility Analysis•QFD (house of quality)•Uncertainty simulation•CAIV analysis•Cost-risk estimating
Utility Analysis uses Inputs
from IPTs
Attribute Value
Score Attribute Utilityfor each Concept
1001000
0.2
0.4
0.6
0.8
1
0 806040200 80
Threshold Goal
Desirability
Risk
604020
2
Util
ity =
Des
irabi
lity
Requirements Analysis
Facilitated by Decision Analysis
Technical Attributes
Cus
tom
er N
eeds
Attribute Importance Score
1
Translate Customer Needs
to System Technical Attributes Methods
Used
Chart 23
23 March 2005
Front End “House of Quality” Inputs
Plot Utility vs CostIdentify Value Front
Util
ity =
Des
irabi
lity
Cost
Value Front3
CAIV Analysis identifies “best value”
•Utility Analysis•QFD (house of quality)•Uncertainty simulation•CAIV analysis•Cost-risk estimating
Utility Analysis uses Inputs
from IPTs
Attribute Value
Score Attribute Utilityfor each Concept
1001000
0.2
0.4
0.6
0.8
1
0 806040200 80
Threshold Goal
Desirability
Risk
604020
2
Util
ity =
Des
irabi
lity
Requirements Analysis
Facilitated by Decision Analysis
Technical Attributes
Cus
tom
er N
eeds
Attribute Importance Score
1
Translate Customer Needs
to System Technical AttributesOperations Analysis
Methods Used
1
Translate Customer Needs
to System Technical Attributes
EvaluationsCriteria
orWHATs
Alt Solutions or HOWs
Combined Scores
WeightingFactors
RoofTechnical Attributes
Cus
tom
er
Nee
ds
Attribute Importance
Score
Chart 24
23 March 2005
Requirements Analysis
Facilitated by Decision Analysis
Technical Attributes
Cus
tom
er N
eeds
Attribute Importance Score
1
Translate Customer Needs
to System Technical Attributes
Utility Analysis uses Inputsfrom IPTs
Attribute Value
Score Attribute Utilityfor each Concept
1001000
0.2
0.4
0.6
0.8
1
0 806040200 80
Threshold Goal
604020
2U
tility
=D
esira
bilit
y
Value Front ToolUtility Analysis
Plot Utility vs CostIdentify Value Front
Util
ity =
Des
irabi
lity
Cost
Value Front3
CAIV Analysis identifies “best value”
Operations Analysis Methods Used
Chart 25
23 March 2005
Transform Attribute Value to Customer Desirability (“Utility”)
Attribute Value
0
0.2
0.4
0.6
0.8
1.0
0 20 40 60 80 100
De
sir
ab
ility
(U
tilit
y S
co
re)
Threshold Objective
Risk
ExpectedValue
Distribution DeterminedBy Worst / Best value expected
Chart 26
23 March 2005
Value Front Tool Boeing Potential Program Users
Conceptual Trade Studies:
• JDAM Container trade (completed)
• LASER Test bed aircraft trade – Phase I used commercial Utility Tool
• Advanced Rotorcraft – Considered by Boeing-Philadelphia
Engineering Disciplines Affected:
• Systems Engineering
• Operations Analysis: Cost & Affordability Decision Analysis (Utility Analyses) Effectiveness
Chart 27
23 March 2005
Status of Value Front Tool
• Successfully applied tool for JDAM Container trade study
• User Instructions planned later in year
• Beta Test version with “self-contained” Tool Planned– Sensitivity analysis capability– Plotting enhancements– Help screens
Current Excel “Prototype” tool will be converted to “Visual Basic” Tool for “interactive” use with customers
Chart 28
23 March 2005
Boeing IDS Example Analysis :
Weapon Container Trade Study
Chart 29
23 March 2005Weapon Container Affordability Analysis
Utility (Value to Customer) vs. Cost Uncertainty Region Define Boundaries of Utility Score & Cost
0
0.1
0.2
0.3
0.4
0.5
0.6
0.7
0.8
0.9
1
0 0.5 1 1.5 2 2.5 3 3.5 4 4.5 5
Cost - Millions of Dollars
Uti
lity
Sco
re W
eig
hte
d A
vera
ge
ECS #1
ECS #3
Hardigg
PRC #3
PRC #4
1
1
2
3
Concept
4
5
Value Front Uncertainty Region(Bounded by 10% and 90% Uncertainty)
2
3
4
5
1
Greater cost uncertainty: bad choice ?
Chart 30
23 March 2005
Value Front ToolSummary
• Tool provides standardized, disciplined, methods to evaluate cost, performance, and risk of design & technology solutions
• Identifies “best value” solutions in the design space as an essential part of the trade study process
• Tool provides contractor a competitive advantage by quantifying a concept’s “value” to the customer.
• The metrics necessary to make design and technology investment decisions are all evaluated (i.e., cost, performance, effectiveness, uncertainty).
“Value Front” Methods & Tool Help DeployAffordability Best Practices supporting the Systems Engineering Process
Chart 31
23 March 2005
References
Cost & Affordability: Matt Anderson (314-232-0931)
Decision Analysis: David Hamilton (314-234-3067)
Decision Analysis: Mike Wheeler (314-234-2405)
Target Costing Society: http://www.cam-i.org/
Affordability Resource Database: http://apat.web.boeing.com
Affordability Best Practice (Boeing): PRO-4819
Chart 32
23 March 2005
Backup Charts
Chart 33
23 March 2005
TopLevel
Objectives
ObjectiveImportanceRatings
Operational Attributes
Operational Attribute Priorities
QFD Matrices Description
The Value Front Tool Utilizes the Normalized Priorities Derived In a
QFD Effort
(3X7) + (1X5)
Be Able to Fly Long Distances
Be Able to Easily Detect Moving Targets
Be Re-deployable
Range Loiter TimeSortie
GenerationRelativePriorities
9
7
5
9
3
86 45 26(157)
Priority
Normalized Priority .55 .29 .16
1 9 1
System Attributes
Operational Attributes
Chart 34
23 March 2005
Value Front Tool – Uncertainty Input TemplatesDeveloped at Boeing-Huntington Beach to Select Technical and
Cost Uncertainty Ranges for Cost-Risk Analysis
Risk category
COST ESTIMATE RISKNotional
lower value
Notional upper value
ACommercial off-the-shelf (COTS); catalog pricing, high volume production, thousands built.
0.990 1.050
B Firm fixed-price quotation based on multiple sources. 0.970 1.083C Firm fixed-price quotation based on single sources. 0.950 1.118
DIdentical item in full production, auditable detailed historical actuals available.
0.930 1.155
ECost-plus quotation from multiple sources (with cost/price analysis).
0.910 1.195
FCost-plus quotation from single sources (with cost/price analysis).
0.890 1.236
GIdentical item in full production, limited historical actuals available.
0.860 1.280
H In-house detailed pricing estimate (auditable). 0.850 1.326
I In-house and industry models/ CERs, calibrated to the product line, used extensively, and updated periodically.
0.830 1.375
J Analog to similar item in ful production. 0.810 1.428
KCost-plus quotation from multiple sources (without cost/price analysis).
0.790 1.483
LCost-plus quotation from single sources (without cost/price analysis).
0.770 1.543
MIn-house and industry models/ CERs, generic, product type included in CER database.
0.750 1.606
NRough-order-of-magnitude (ROM) estimate. Lacks full documentation and not auditable (from vendor or in-house).
0.730 1.674
O Engineering estimate (experienced in cost estimating). 0.710 1.747
PIn-house pricing estimate (limited or no database on product).
0.690 1.825
QIn-house and industry models/ CERs, generic, product type excluded from CER database.
0.670 1.909
REngineering estimate (little experience in cost estimating).
0.650 2.000
Risk category
Cost risk assessment template TECHNICAL RISK (NRE and REC) (design, technology, integration)
Notional lower value
Notional upper value
AQualified off- the- shelf item, fully meets defined requirements, stable, and no user uncertainty. All materials reflect current technologies in production.
0.94 1.06
BOff-the-shelf items meet defined requirements with qualifications. All materials reflect current technologies in production.
0.90 1.20
C
Design effort required using standard existing components within original specification levels, minor modifications, minimal secondary requirements need definitions. All materials and processes reflect current technologies.
0.85 1.35
D
Design effort required using existing components beyond original Specification levels—some require major modifications, some noncritical requirements undefined, some user uncertainty. All materials and processes reflect technologies verified through prototyping.
0.80 1.55
E
Moderate engineering, development required using existing design knowledge/capability, and some critical requirements not clearly defined. All materials and processes reflect technologies verified through prototyping.
0.80 1.60
FMajor engineering development required, several critical requirements not defined. Materials and processes verified through analysis only.
0.75 1.75
GNew or breakthrough advance in design-critical requirements not defined or very difficult to achieve. Some materials/processes require scientific research.
0.70 2.00
Cost RiskTechnical Risk
Chart 35
23 March 2005
“Best Value” (CAIV) Analysis is Facilitated withSystems Assessment Integrated Tools
“Value Front”Trade Study Tool• Customer Satisfaction Metric =
“utility” (0 – 1.0)
• Combines “utility” metric for each technical attribute
• Measures “utility” uncertainty based on technical risk
Analogy Cost- Risk Tool
• Estimates concept cost compared to baseline (known cost)
• Measures cost & schedule uncertainty
Life Cycle Cost
Value Front
Trade Study
Option
Cost
Threshold
Cost & Schedule Uncertainty
Technical Uncertainty
Util
ity =
Des
irabi
lity
Chart 36
23 March 2005
Example Attribute Criteria (source: Boeing Trade Study Workshop - Al Bruns)
• Product capability– Operational utility– Performance– Effectiveness– Survivability
• Producibility– Task time– Cycle time– Mistake proofing
• Supportability– Maintainability– Design for upgrade– Logistics– Training– Reliability
• Environmental• Safety• Political• Ease of use
Attributes should be measurable (but can be qualitative)
Chart 37
23 March 2005
Categories of Trade Studies Performed withValue Front Tool
• Preferred Design concept:– System, sub-system, or component trade studies
• Preferred Technology concept – Evaluate technology investment vs. risk (uncertainty)– Evaluate new/emerging technologies for “best value” that
meets Boeing strategic needs
• Evaluate manufacturing options
• Screen tool to “weed out” concepts with less value to customer (performance vs. cost)
Decisions can be Design or Technology Selection