Title: Overview for a Strategic Portfolio Prioritization SPP Process
1Overview for a Strategic Portfolio Prioritization
(SPP)Process
- Dr. Dimitri N. Mavris
- Dr. Michelle R. Kirby
- Aerospace Systems Design Laboratory
- School of Aerospace Engineering
- Georgia Institute of Technology
- Atlanta, GA
2Overview
- Traditional resource allocation approaches
- Foundation of approach
- Summary of previous execution of approach
- Defining the capabilities and limitations of the
Strategic Portfolio Prioritization (SPP) Process - Overview of the SPP Process and participant
involvement
3Traditional Resources Allocation Approaches
Due to limited Research and Development (RD)
monies available, the decision-maker desires to
know where to direct scarce resources to maximize
technological payoffs or substantiate strategic
competitive decisions. Five traditional
approaches are (Cetron 1972) 1) Squeaking
Wheel cut resources from every area and then
wait and see which area complains the most.
Based on the loudest and most insistent, then
restore budget until ceiling is hit. 2) Level
Funding budget perturbations minimized and
status quo maintained if this approach
continues within a rapidly changing technology
field, the company, group, or agency will end
up in serious trouble. 3) Glorious Past "once
successful, always successful". Assign resources
solely on past record of achievement. 4) White
Charger best speaker or last person to brief the
boss wins the money or whichever department has
the best presentation. 5) Committee Approach a
committee tells the manager or decision-maker how
to allocate resources.
4Foundation of Approach
- SPP is an expert-based series of decision (or
planning) matrices that are related qualitatively
through different levels of abstraction - The subjective qualitative relationships may then
be mapped to quantitative scales to allow for a
rapid prioritization based on the level of
abstraction desired - The process is an evolution of accepted quality
engineering methods (e.g. Quality Function
Deployment) and incorporates various dynamic
aspects to form a portable and powerful decision
making environment - This approach was extensively utilized in a
recent Congressional study for an integrated 5
year RT plan for U.S. aeronautics, for the NASA
Exploration Systems Architecture Study (NASA
Administrator, Mike Griffins 60 day study), and
for the NASA Vehicle Systems Program (VSP) - In each of the recent studies, the environment
created was generically called the Portfolio
Investment Calculator and were more commonly
known as the following - Aeronautics Calculator
- Space Calculator
- VSP Calculator
5Overview of the Aeronautics Calculator
Final product objective Develop and deliver to
Congress an aggressive 5 year investment plan as
a first step to restore aviation and aeronautics
technology capabilities to a robust level
commensurate with a global leadership
position With guidance that The plan should
uniformly seek to mature high-risk, potentially
high-payoff technologies to a readiness level
sufficient for NASA to transition out of
government-sponsored status for adaptation by
private industry
Congressional Earmark
6National Strategy Team
- The purpose of the NST was to
- set the Strategic Agenda for the overall
analysis, planning and integration activities - define 6 over-arching National Needs which were
based on the blue-ribbon documents - set the research scope and priorities for each of
the aviation sectors, including target budgets so
as to frame the scope of research - provide oversight of the planning activities
- provide guidance for the preparation and roll-out
of a final product - Members included
Chairman of the NST
7Integrating the Aeronautics Plan
- ASDL Involvement
- Contracted to be the primary integrator of all
the sector plans - Interacted with each contractor to provide
continuity amongst the teams on a daily basis - Provided guidance and information when needed
- Provided a decision making tool to the NST to
determine the final plan to be presented to
Congress - Collaborated with the production team on the
final product to circulate on the hill
8Aeronautics Decomposition
Protect the Environment
Increase Mobility
Support National Security
Explore New Aerospace Missions
. . .
National Needs
. . .
Vehicle Sector Capabilities
Sector Portfolio Identification
GOTChA Approach
Enabling Technology Roadmaps
GOTChA Goals, Objectives, Technical
Challenges, and Approaches
9Integration Team Objective
10Aeronautics Calculator
11SPP for S3
- The SPP Process utilized for each of the previous
Calculator concepts is generic in nature and
may be tailored to the specific problem at hand - The basic elements of the process require a
decomposition of the problem down to the
appropriate level per the decision makers needs - The level of fidelity of the Calculator may be
increased as more detailed information becomes
available, such that a modular, reusable, and
extendable product may be created - For our purposes, the formulation is based on the
framework outlined in the ST Investment
Strategy Process and Framework document in the
Ships and Ship Systems (S3) Product Area,
released in January of 2005
12Applying SPP to S3
Future Surface Navy Need
Vehicles
Attributes
Technology Areas
Technology Sub-areas
Technology Options
13Applying SPP to S3
- This breakdown is for a single Attribute of a
single vehicle for one Surface Navy Need - In order to fully capture Ships and Ship Systems,
the structure is repeated for each Surface Navy
Need causing the dimensionality to increase
tremendously - SPP reduces the dimensionality by removing
non-contributing branches of this structure
through a traceable process - Creates a direct link between technology
sub-areas or options and the Needs - Identifies most significant technology sub-areas
or options that contribute to the Needs - Depends on relationships established at every
level of abstraction
14Applying SPP to S3
Future Surface Navy Need
Vehicles
Attributes
Technology Areas
Hull Forms Propulsors
Ship Concepts Methods
Signatures Silencing
Structures Materials
Vulnerability Protection Analysis Methods
Machinery Systems Components
Environmental Quality Systems
Logistics Systems
Technology Sub-areas
TSa 1
TSa 2
TSa 2
TSa 1
TSa 2
TSa 1
TSa 2
TSa 3
TSa 1
TSa 2
TSa 3
TSa 1
TSa 2
LEAPS
TSa 1
Reconfigurable ship concepts
TSa 2
Technology Options
TO 1
TO 1
TO 2
TO 1
TO 1
TO 1
TO 2
TO 1
TO 1
TO 2
TO 1
TO 2
TO 1
TO 2
TO 1
TO 2
TO 2
TO 1
TO 1
TO 1
TO 2
TO 1
TO 1
TO 2
TO 3
TO 2
TO 2
TO 2
TO 1
TO 2
TO 2
TO 1
TO 2
TO 3
TO 2
TO 3
TO 2
15SPP Payoff
- In the absence of a quantitative physics-based
approach, SPP provides a structured, traceable,
and transparent process for planning and
technology prioritization - The process can be tailored to any desired level
of detail to enhance the decision making process
for investment strategies as more information
becomes available - The end product will allow for what if games to
be played through a dynamic and interactive
environment - The results of the process can be the foundation
for detailed strategic road mapping and
quantitative technology assessments and tracking
16Process for Building SPP
- The process by which SPP is developed is fairly
generic and may be tailored for the specific
problem at hand - Regardless of the application, the following
elements are necessary to execute the SPP
process - Definition of top level needs
- Description of the information desired to
facilitate decision making, which may include - Schedule, annual or total budgets, sensitivity
level of abstraction, risk, specific time frames,
rack and stack of priorities, etc. - Decomposition of the needs to the appropriate
level of abstraction - Qualitatively relate each level of the
decomposition through a series of planning
matrices - Definition of a quantitative scale for each level
of decomposition and translation to quantitative
scales - Identification of the appropriate domain area
experts for each level of the decomposition to
provide necessary information - Elements needed for the SPP process can be
defined through various techniques and methods
including brainstorming, workshops, affinity
diagrams, voting methods, relevance trees, etc. - The only requirement placed on the process is
that a link exists between each level of the
decomposition
17Notional SPP Application
Surface Navy Needs
Vehicle Attributes
Planning Prioritization
Top Level Planning Matrix
Technology Areas/Sub-Areas
Vehicle Attributes
Ships and Ship Systems Investment Strategy
Framework
Vehicle Attribute Planning Matrix
18Information Flow
Workshop 1
Information gathering
Workshop 2
Problem Def.
Surface Navy Needs
X,NA,L,M,H
Vehicle Attributes
Subject Matter Expert Information Gathering
Technology Areas/Sub Areas
X,NA,L,M,H
Vehicle Attributes
SPP
19SPP Approach
- The steps necessary to complete the SPP process
include - Problem definition
- Acquire supporting documents to define the
Surface Navy Needs - Workshop 1 Focus
- Identification of Surface Navy Needs and
subsequent importance weighting definition for
2015 and 2030 time frame - Identification of Vehicle Attributes
- Completion of planning matrices of the Surface
Navy Needs to Vehicle Attributes for 2015 and
2030 time frame - Initial relative impact of Attributes to Needs
20SPP Approach (cont.)
- The steps necessary to complete the SPP process
include - Information Gathering
- Based on a predefined set of Technology Areas,
identify appropriate subject matter experts - Provide initial planning matrix of the Vehicle
Attributes defined in Workshop 1 to the initial
set of Technology Areas - Request information regarding proposed Technology
Sub-areas from the subject matter experts,
including Research and Development Degree of
Difficulty, qualitative impacts to Acquisition
Cost and Life Cycle Costs and availability in
terms of mid or long term focus, details of the
information request are TBD - Review Technology Sub-area information and
iterate as necessary for clarifications
21SPP Approach (cont.)
- The steps necessary to complete the SPP process
include - Workshop 2 Focus
- Compile all information gathered from the subject
matter experts and reach consensus as to the
mappings supplied in the planning matrix - Initial relative impact of significant Technology
Sub-areas with respect to Attributes and Needs - Provide interactive capability to rack and
stack the Technology Sub-areas and the mapping
of qualitative to quantitative scales - Employ the ONR DURIP funded Collaborative
Visualization Environment (CoVE) to conduct the
interactive assessment
22ASDL Visualization Research Facilities
- Collaborative Visualization Environment (CoVE)
- An 18x10 war room type display wall with 12
PCs at operator consoles - Comprised of a seamless 4x3 matrix of 67
rear-projection LCD screens - For use in critical reviews by design
decision-makers and stakeholders - Facilitates research in advanced engineering data
visualization techniques
- Collaborative Design Environment (CoDE)
- Work areas for integrated product teams
- Includes computer workstations, interactive
whiteboards, and a smaller display wall - Linked to CoVE for use by design disciplinarians
in support of critical reviews - High-performance computational support
- 256-processor cluster with 512 GB RAM, 5 TB
storage, gigabit Ethernet and Infiniband
high-speed communication backbones - Supports CoVE, CoDE, and research requiring
high-speed or parallel computing - Hardware provided through an ONR DURIP grant in
2004
CoVE
23SPP Summary
- The SPP process provides a structured, traceable,
and transparent process for planning and
technology prioritization - The prioritization of Technology Sub-areas is
based on expert opinions for a series of
qualitative mappings with supporting information
and documentation regarding decisions - The Workshops will serve to provide the
information to populate the SPP - Workshop 1 maps Attributes to the Surface Navy
Needs - Workshop 2 verifies the technology mapping and
allows participants to play what if games
24 25Qualitative Mapping of Attributes to Surface Navy
Needs
- Once the Surface Navy Needs and Vehicle
Attributes have been established through the
Workshop 1, relationships must be formed between
the two - Through a voting process or open discussions, the
impact of each Attribute on each Need is
qualitative mapped in the first planning matrix - Additionally, SPP allows for a weighting factor
(scale from 1-10 with 10 being better) on both
the Attributes and the Needs to reflect the
relative importance of each with respect to one
another in a group - X Negative level of impact
- NA Not Applicable
- L Low positive level of impact
- M Medium positive level of impact
- H High positive level of impact
Surface Navy Needs
Mapping Attributes to Surface Navy Needs
Vehicle Attributes
26Quantitative Mapping
- From the qualitative mappings defined in the
planning matrix of the Attributes to Needs, the
X, NA, L, M, and H impacts are translated to a
quantitative scale. The typical translation used
for this level of abstraction is to place more
importance on medium and high, where - Negative (X) -2
- No impact (NA) 0
- Low (L) 1
- Medium (M) 7
- High (H) 9
- The quantitative translations may be adjusted
based on the decision makers preference, e.g.,
linear (-2,0,1,5,9). This mapping is typically
used for the lower level mappings of Attributes
to Technology Sub-areas - Basic matrix manipulation is then performed and
the relative impact or sensitivities at any level
of abstraction may be obtained
27Quantitative Mapping of Attributes to Needs
- Flexibility is added throughout the tool to allow
the decision makers to vary the following - Relative importance of Surface Navy Needs (SNN),
scale is from 1 to 10, where 10 is better - Relative importance of Vehicle Attributes, where
scale is from 1 to 10, where 10 is better, which
is used on the mapping of the Attributes to
Technology Areas matrix - Quantitative mapping scale (see previous scale)
1
3
2
Qualitative Impacts
Quantitative mapping
Qualitative Attribute Impact on SNN
Quantitative Attribute Impacts on SNN
(SNN Wt)(Qualitative Impact)
28Example Quantitative Mapping of Attributes to
Needs
- Example
- Impact of Attribute Stealth to Need Power
Projection was defined as a M - The current translation scale is a 7 for M
- Also, the current weighting factor for Power
Projection is a 5 - Hence, the impact of Stealth to Power Projection
is 57 35
3
2
4
1
Qualitative Impacts
Quantitative mapping
29Example Relative Importance of an Attribute to
All Needs
- To determine the relative importance of one
Attribute to all the Needs, a simple summation is
performed with respect to the whole planning
matrix - When calculating the relative importance of an
Attribute, the chance may exist that one of the
mappings may have been a negative impact, i.e.,
an X - When this occurs, the summation of the entire
matrix only takes into account the positive
values, since the measure of goodness is a large
value (bigger is better) - This approach is taken such that the relative
importance of an Attribute is taken with respect
to the benefit as a whole - Hence, when the relative importance of all
Attributes to all Needs are summed, the result
may NOT be 100 if a negative mapping is in the
planning matrix. However, if all mappings are
beneficial, the sum would be 100
- Example
- Sum the entire row of an Attribute (193)
- Sum of the positive elements of the entire matrix
(2152) - Relative importance of Stealth with respect to
all Needs is simply the result of (1) divided by
the result of (2)
2
3
1
30Relating Needs to Technology Areas
- Given that the ultimate goal in this strategic
planning process is to identify potentially high
payoff technology areas and sub-areas, a
relationship must be made from the Needs to the
Technology Sub-areas, such that - Surface Navy Need f (Technology Sub-areas)
- However, most technology experts cannot directly
relate the impact of their Technology Sub-area
directly to the Needs - Thus, a transfer function is needed to allow for
a clearer mapping of the Technology Sub-areas to
an appropriate level of abstraction - To accomplish this end, the Attributes can serve
as the transfer function, such that - Surface Navy Needs f (Attributes f
(Technology Sub-areas)) - Since a mapping has occurred between the Needs
and the Attributes, one must now relate the
Technology Sub-areas to the Attributes
31Qualitative Mapping of Technology Sub-areas to
Attributes
- In a similar fashion of Attributes to Needs
planning matrix, the Technology Sub-areas of
interest must also be mapped to the Attributes in
a second planning matrix - The Attributes serve as the transfer function
between lower levels of abstraction (i.e.,
Technology Sub-area) to the higher levels (i.e.,
the Needs) - Technology Areas (1) are broken down into
sub-areas (2) and those are mapped (3) against
the Attributes in this planning matrix - The weighting scale (4) for the Attributes comes
from the previous planning matrix - Initially, experts individually populate the
planning matrix, which will then becompiled to
perform a rack and stack for Workshop 2
1
Qualitative ranking X Negative level of
impact NA Not Applicable L Low positive level of
impact M Medium positive level of impact H High
positive level of impact
2
4
Mapping Technology Areas to Attributes
3
32Relative Importance of a Technology Sub-area
Technology Sub-areas
Technology Sub-area qualitative mapping to
Attributes
Relative importance determined based on the sum
of the column divided by the sum of the whole
planning matrix
Qualitative impact above mapped to quantitative
scale for each cell and then multiplied by the
weighting of the Vehicle Attributes
33Example Relative Importance of a Technology
Sub-area
As was the case with the translation of the
Attributes to all Needs planning matrix, the same
approach is utilized here. The only difference is
that the translation scale was changed to a
linear scale
Qualitative ranking X Negative level of impact
-2 NA Not Applicable 0 L Low positive level of
impact 1 M Medium positive level of impact
5 H High positive level of impact 9
2
3
1
- Example
- Impact of Advanced Vehicle Concepts to
Reconfigurability was defined as a L - The current translation scale is a 1 for L
- Also, the current weighting factor for Power
Projection is a 8 - Hence, the Absolute Impact of Advanced Vehicle
Concepts to Reconfigurability is 18 8 - The relative impact of each of the Sub-areas may
be determine based on the Absolute Impact (8)
divided by the summation of the absolute impact
of all Sub-areas (773), which is 8/773 0.01
4
5
34Relating Technology Sub-areas to Surface Navy
Needs
Technology Sub-area quantitative impacts
Relative importance of a Technology Sub-area
relative to Attributes and Needs
Relate the Technology Sub-areas to the Naval
Needs by multiplying the planning matrix by the
vector of the relative importance of the
Attributes to the Naval Needs and recalculate
relative importance
35Example Relative Importance of a Technology
Sub-area to All Needs
This is similar to mapping the impact of
attributes to all Needs
- Example
- The impact of Advanced Vehicle Concepts to
Reconfigurability is 8 - The relative impact of Reconfigurability on all
Surface Naval Needs is 0.059 - The impact of Advanced Vehicle Concepts on
Reconfigurability with respect to all Needs is
80.059 0.472 - The impact of all Technology Areas on an
Attribute is the sum of the row (0.085) - The absolute impact on all Needs with respect to
all Attributes for the Advanced Vehicle Concepts
is the sum of this column (0.809)
of Tech Sub-
1
of Tech Sub-
5
2
3
4
36Prioritizing Technology Sub-areas
- SPP utilizes different filters to rack and
stack technology sub-areas - Currently sorts in descending order based on the
relative impact to Vehicle Attributes as weighted
by the Surface Naval Needs (SNN) - A filter for RD3 can be added
- The Impact to the Surface Naval Needs vector will
then be used to relate the current list of
Technology Sub-areas back to the top level for
visualization purposes
37Relating Technology Sub-Areas to Surface Navy
Needs
- For visualization and decision-making, the
influence of the Technology Sub-areas as related
to the Surface Navy Needs is of interest - To quantify the relationship, the Impact to the
SNN vector on the previous slide is used and
another manipulation is performed on the
Attributes to Needs planning matrix
Original Attributes to Needs
Technology Sub-area Weighted Attributes to Needs
Multiply
38SPP Visualization
- A multitude of options now exist for
visualization to facilitate decision making - Sensitivities
- Attributes to Needs
- Attributes to Technology Areas and Sub-Areas
- Rack and stack
- Degree of Difficulty (RD3)
- Other information obtained from the Technology
Sub-area experts - Additional elements per the decision makers
preferences