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Analytical Tools for Affordability Analysis
David Tate Cost Analysis and Research Division
Institute for Defense Analyses
Report Documentation Page Form ApprovedOMB No. 0704-0188
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1. REPORT DATE MAY 2015 2. REPORT TYPE
3. DATES COVERED 00-00-2015 to 00-00-2015
4. TITLE AND SUBTITLE Analytical Tools for Affordability Analysis
5a. CONTRACT NUMBER
5b. GRANT NUMBER
5c. PROGRAM ELEMENT NUMBER
6. AUTHOR(S) 5d. PROJECT NUMBER
5e. TASK NUMBER
5f. WORK UNIT NUMBER
7. PERFORMING ORGANIZATION NAME(S) AND ADDRESS(ES) Institute for Defense Analyses,Cost Analysis and Research Division,4850Mark Center Drive,Alexandria,VA,22311-1882
8. PERFORMING ORGANIZATIONREPORT NUMBER
9. SPONSORING/MONITORING AGENCY NAME(S) AND ADDRESS(ES) 10. SPONSOR/MONITOR’S ACRONYM(S)
11. SPONSOR/MONITOR’S REPORT NUMBER(S)
12. DISTRIBUTION/AVAILABILITY STATEMENT Approved for public release; distribution unlimited
13. SUPPLEMENTARY NOTES Presented at the 12th Annual Acquisition Research Symposium held May 13-14, 2015 in Monterey, CA.
14. ABSTRACT
15. SUBJECT TERMS
16. SECURITY CLASSIFICATION OF: 17. LIMITATION OF ABSTRACT Same as
Report (SAR)
18. NUMBEROF PAGES
24
19a. NAME OFRESPONSIBLE PERSON
a. REPORT unclassified
b. ABSTRACT unclassified
c. THIS PAGE unclassified
Standard Form 298 (Rev. 8-98) Prescribed by ANSI Std Z39-18
What is “Affordability Analysis”?
Starting with 2010’s “Better Buying Power” memorandum, OSD has issued policy requiring acquisition programs to present affordability analyses at Milestone reviews This requirement is now part of Department
of Defense Instruction 5000.02 The Defense Acquisition Guidebook (DAG)
was updated in July 2013 to reflect the new requirement and provide guidance
5/19/2015 1
Affordability Analysis Content
Affordability Analysis shows each program’s planned development and production costs over time, in the context of The cost and schedules of the other programs in
the relevant acquisition portfolio The projected available funding over the life
cycles of those programs
This task is assigned to Service leadership Not the program’s responsibility Should reflect Service long-term planning
5/19/2015 2
CY14$B
0
50,000
100,000
150,000
200,000
250,000
300,000
FY 83 FY 93 FY 03 FY 13 FY 23 FY 33 FY 43
CY $
MILPER
O&M
Procurement
RDT&E
POM14-18
TOA
0.00
0.50
1.00
1.50
2.00
2.50
3.00
3.50
Light Tactical Vehicle (Not JLTV) Protection and OtherMedium Tactical Vehicles Heavy Tactical VehiclesJoint Light Tactical Vehicle (JLTV)
162
442
2,200
884
1,479
1,917
4562,200
2,1352,112
$B POM14–18
Procurement + RDT&E Portfolio$B POM14-18
…FY43
All Portfolios Under Component TOA
F Transportation (Procurement + RDT&E) TWV O&M Requirements
BY12
TWV Portion of O&M
Procurement + RDT&E Portfolios
New System Total
Lifecycle Costs (total
reserved profile)
Recommended Submission Formats (DAG)
5/19/2015 3
What Tools do Affordability Analysts Need?
5/19/2015 4
Reconcile inconsistent submissions Predict annual costs for alternative plans Estimate the consequences of various
possible funding levels Assess affordability risk For the portfolio For each program
Reconciliation of Inconsistencies
Which programs are in the portfolio? How much total funding is available? How much of that total will each program get
year by year? How many units will that buy?
5/19/2015 5
If Service plans or estimates have changed, need to be able to propagate
those changes to other portfolios as well
Estimated Cost of Alternative Plans
If the current plan is …then what would the annual costs be if instead we do This is a hard problem.
5/19/2015 6
Fiscal Year 2015 2016 2017 2018 2019 2020 2021Quantity 20 40 50 50 50 50 20Cost 1502.8 2331.1 2581.0 2403.9 2291.9 2210.7 883.8
Fiscal Year 2015 2016 2017 2018 2019 2020 2021 2022Quantity 10 30 40 40 40 40 40 40Cost ? ? ? ? ? ? ? ?
Why Is It Hard?
Cost progress (aka “learning curves”) Fixed costs at contractor and program levels Nonrecurring and non-end-item costs Production rate effects and incentives Causal ambiguity in historical data Schedule changes cause cost changes Cost changes also cause schedule changes Technical / management issues can cause both
5/19/2015 7
Competing Theories and Models
Fixed/Variable apportioning (e.g., Balut et al.) Plant capacity varies with workload Program share of fixed costs is proportional to
variable costs, some of which have learning
Cobb-Douglas production function (Womer) Unit cost as a function of learning and rate
Learning with forgetting (Benkard) Learning depreciates over time
Discretionary capital investment (Rogerson) 5/19/2015 8
Estimated Impact of Change in Budget
If there isn’t enough money in the budget to do what we had planned, what happens? Programs stretch – lower production rates If necessary, some may be canceled
In order to predict the impact of a given schedule, we need a heuristic that can estimate how the portfolio manager would react to the new budget Requires costing ability described above Should also work for unexpected surplus funds
5/19/2015 9
Affordability Risk Assessment
Affordability is often treated as a yes/no question, but reality is messier Cost estimates are uncertain Program outcomes are uncertain Budgets are uncertain Service priorities change over time New programs start
The question of interest is not “Is this program affordable?”, but rather “What is likely to happen if this is the plan?”
5/19/2015 10
Risk Assessment Support
Sensitivity analysis Vary one input at a time, see what happens Does not directly answer “What is likely?”
Monte Carlo estimation Vary all uncertain inputs according to user-
specified probability distributions Analyze the distribution of outcomes Requires credible driving distributions for many
parameters and program characteristics
5/19/2015 11
Analyst Support Tool Notional Design
Organize programs into portfolios Multiple alternative ways to partition the world
Coordinate across multiple data sources SAR / DAES / PB / POM Individual program affordability analysis
submissions Perform what-if and sensitivity analyses Alternative schedules Alternative budgets Revised cost estimates New programs
5/19/2015 12
Current Status: Software
APASS: the Acquisition Portfolio Affordability Support System Web application SQL Server database Migrating to D3 graphics from Google API
Data from multiple (conflicting) sources, organized by portfolio sets for analysis at the portfolio level To date, MDAP and pre-MDAP data only
5/19/2015 13
A Portfolio Set
5/19/2015 14
IDA I
Acquisition Portfolio Analysis Support System
Home Army Equ1pment
Dollars
O Then-Year Dollars
@Base Year 2013
Show
0 By Budget Category
@Equipment Portfolio Set
0 Aifordabihty Portfolio Set
Categories
rlRDT&E
l'liProcurement
E:Jo&M
D MILCON
Years to Show
Start Year: Earlrest 199~
End year:
Latest 2034
Max Dollars
Dshow Actuals
Source SAR 2013-12-25 lr
Serv1ce: Army
Portfolio Set: Equipment
Source: SAR 2013-12-25
Chart Type ~
$8,000
$6,000 :;:, ... ~
ol!1 8 ~ $4,000 0
~ 1.1..
~ ~
$2,000
$0
Workspace Projections ~
Total FY2013 Dollars
"' ... .,., co ..... 00 0>
~ ~ ~ ~ ~ !§ Fa
C Reload
• Soldier and Squad
• Mission Command
• Indirect Fires
• Aviation
• Air and Missile Defense
~ ~ ~ g) ~ ~ co ..... 00
~ § fj <'V "' ~ ~ f? ~ ~ ~ 2 2 <'V <'V <'V <'V <'V <'V <'V <'V <'V <'V
Fiscal Year
A Portfolio with Budget
5/19/2015 15
IDA I
Acquisition Portfolio Analysis Support System
Dollars
0 Then-Year Dollars
@Base Year· 2013
Show
0 By Budget Category
@Equipment Portfolio Set
0 Affordat>ility Portfolio Set
Categories
i!:JRDT&E
12JProcurement
Co&M
DMILCON
Years to Show
Start Year:
Eartrest 199~
End year
Latest 2026
Max Dollars.
rlshOw Actuals
Include
12lBudget
li"JFit to budget
Source· SAR 2013-12-25 •
Serv1ce: Army
Portfolio Set: Equ1pment
Portfolio: Av1at1on
Source: SAR 2013-12-25
Chart Type •
$5,000
$3,750 ::; .... "' <s "" 0 Q
~ $2,500 0
~ u_ 0;
~ $1 ,250
$0
Workspace Projections •
Total FY2013 Dollars
"' ~ II) <o "- <0 0)
~ ~ ~ ~ ~ ~ ~
~Reload
• Budget
• UH-80M Black Hawk
• MQ-1 C Gray Eagle
• CH-47F
• AH-84E RemanufacturE
• AH-84E New Build
0
~ "' ~ ~ II) <o "- <0 RJ 0 ;; "' f;J ~ ~ ~ ~ ~ ~ ~ & & ('(J ('(J ('(J ~ ('(J ('(J ('(J ('(J ('(J ~ ('(J ~ ('(J f?
Fiscal Year
Results of Fitting to Budget
5/19/2015 16
IDA I
FY2013 Procurement Dollars
$5,000
~ $3,750 ~
t? Jg 0 Q 1: (!)
E $2,500 ~ l>
ct (\') ....... C>
~ $1 ,250 ~
$0
Budget
FY 2030:
$1500M
~ ~ ~ ~ ~ ~ ~ m o ~ ~ ~
~2? ~ ~fJ~~~RfJRfJ Fiscal Year
• Budget
• UH-60M Black Hawk
MQ-1 C Gray Eagle
• CH-47F
AH-64E RemanufacturE
AH-64E New Build
Summary
We are developing software tools to support Affordability Analysis (and oversight of Affordability Analysis)
The current focus is on near-term ability to view and compare disparate data sources and alternative scenarios Spot discrepancies Produce reconciled views Provide “what if?” assessment of alternatives
Secondary focus on estimating the impact on portfolios of alternative budgets
5/19/2015 17
BACKUP
5/19/2015 18
What is “Affordability”?
Since the late 1990s, the military services have all spent large sums of money on programs that did not deliver their intended military capability Many of these programs spent billions and
delivered nothing at all
5/19/2015 19
“The purpose of Affordability Analysis is to avoid starting or continuing programs that cannot be produced and supported within reasonable expectations for future budgets.” DoDI 5000.02, Enclosure 8, “Affordability Analysis and Investment Constraints” (2015)
DAG Format 1 – TOA Top Line & Color of Money
5/19/2015 20
CY14$B
0
50,000
100,000
150,000
200,000
250,000
300,000
FY 83 FY 93 FY 03 FY 13 FY 23 FY 33 FY 43
CY $
MILPER
O&M
Procurement
RDT&E
POM14-18
TOA
All Portfolios Under Component TOA
DAG Format 2 – Service Portfolios
5/19/2015 21
Procurement + RDT&E Portfolio$B POM14-18
…FY43
Procurement + RDT&E Portfolios
DAG Format 4 – Portfolio Detail
5/19/2015 22
0.00
0.50
1.00
1.50
2.00
2.50
3.00
3.50
Light Tactical Vehicle (Not JLTV) Protection and OtherMedium Tactical Vehicles Heavy Tactical VehiclesJoint Light Tactical Vehicle (JLTV)
162
442
2,200
884
1,479
1,917
4562,200
2,1352,112
$B POM14–18
F Transportation (Procurement + RDT&E)
New System Total
Lifecycle Costs (total
reserved profile)
Benkard Formulation
5/19/2015 23
1
11
average unit cost in year production quantity in year theoretical first unit cost learning rate parameter annual forgetting rate production rate parameter
n
n
nn k
n n kk
C nL nT
C T L Lβ
γ
βδγ
δ −
=
≡≡≡≡≡≡
= ∑