1© 1994 - 2006 by Decision Strategies, Inc.Includes material © 1983 - 2002 by Kenneth R. Oppenheimer
Introduction to Decision AnalysisO. J. Sanchez
Principal – Decision Strategies, Inc
Confidence Through Clarity
2© 1994 - 2006 by Decision Strategies, Inc.Includes material © 1983 - 2002 by Kenneth R. Oppenheimer
About Decision Strategies, Inc. (DSI)
An international leader indecision and executionmanagement since 1993
Serving clients in Oil and Gas,Chemicals, Plastics,Transportation and TechnologyIndustries
Consultants and technicalresources with unique skills builton industry experience
3© 1994 - 2006 by Decision Strategies, Inc.Includes material © 1983 - 2002 by Kenneth R. Oppenheimer
The objectives for this course are:
• Learn the basic skills needed to understand andparticipate in the application of DecisionAnalysis to projects
– the terminology of decision management
– how to effectively engage in a project or strategy
– how to appraise the decision situation
– how to frame decision problems and scenarios
– an understanding and competence in decision analysisand interpretation to gain insight and agreement
– how to judge decision quality and gain real value
4© 1994 - 2006 by Decision Strategies, Inc.Includes material © 1983 - 2002 by Kenneth R. Oppenheimer
So…what is Decision Analysis?
• Decision Analysis is a systematic methodology forfacilitating high quality, logical discussion;bringing clarity to difficult decisions and leadingto clear and compelling action by the decisionmaker.
– Probabilistic framework
– Incorporates consideration of risk and uncertainty
– Focused on actions
5© 1994 - 2006 by Decision Strategies, Inc.Includes material © 1983 - 2002 by Kenneth R. Oppenheimer
What makes decision-making difficult?
No
NoYes
No
Definition: Decision
A conscious controllable allocation of resources; the act ofmaking a choice between alternatives
6© 1994 - 2006 by Decision Strategies, Inc.Includes material © 1983 - 2002 by Kenneth R. Oppenheimer
“Here is the problem,now justify a solution.”
“Here is the problem,now justify a solution.”
What can go wrong with this approach?
Why does it so often lead to a lack of buy-in, unresolvedambiguities, lingering uncertainties and analysis paralysis?
SituationAnalysis
Assumptions& Forecasts
DecisionProposed
DiscountFactor
ValueCalculated
DecisionReview
The traditional approach to decision making is toadvocate and sell a desired decision.
7© 1994 - 2006 by Decision Strategies, Inc.Includes material © 1983 - 2002 by Kenneth R. Oppenheimer
• Ambiguity
– Typically, something we don’t know, or are unsure about, but can find out
– Can be resolved before the decision has to be made
– Examples• Unclear or conflicting goals• Availability of resources• Stakeholder preference
• Uncertainty
– An unknown event that impacts the outcome of our decision
– we may be able to impact the event, but we cannot control
– Will not be resolved before the decision is made
– Examples• Oil price• Reserve size• Competitor actions
How do we recognize and differentiatebetween ambiguity and uncertainty?
8© 1994 - 2006 by Decision Strategies, Inc.Includes material © 1983 - 2002 by Kenneth R. Oppenheimer
Clear CourseOf Action
Uncertainty
Ambiguity
Both
IntuitiveConsensus“Gut Feel”
Just Do It“Power Play”
The complexity of a decision is directly proportional to thecombined level of ambiguity and uncertainty inherent in it!
Analysis Paralysis“Prove the Future”
Most decision making processes are notequipped to adequately deal with ambiguity
and uncertainty
9© 1994 - 2006 by Decision Strategies, Inc.Includes material © 1983 - 2002 by Kenneth R. Oppenheimer
IdeaJustification Single
Option
Data andSimulation Edict or
Persuasion
Key findings:Improvementin understanding,participant buy-in,use of creative ideasand achievement ofbusiness results.F
ram
ing
Cre
ativ
eSy
nthe
sis
ofO
ptio
ns
Dia
log
(inte
rnal
expe
rts)
orP
ilot
Col
labo
rati
vePa
rtic
ipat
ion
Frequency of Use (bar width) of each MethodOut of the 127 cases studied in North America
Dr. Paul Nutt - London Business Review
Implement ActionDo EvaluationIdentify OptionsSet Direction
%Su
cces
sful
Aft
er2
Yea
rs
0%
100%
50%
A London Business School study found adramatic difference in effectiveness based
on decision methods.
10© 1994 - 2006 by Decision Strategies, Inc.Includes material © 1983 - 2002 by Kenneth R. Oppenheimer
Implement &Monitor
Performance
• Resourcing• Project Mgmt.• Tracking metrics
• Earned value• Metrics tracking• Periodic review• Communication• Learning• Quality audit
• Project Owner• Project Lead• Implem. Team
EFully Develop
SelectedAlternative
• Optimize strategy• Resource plan• Scheduling
FundingApproval
• Project work plan• Staffing plan• Budget• Schedule• Metrics• Options
• Project Owner• Project Lead• Implem. Team
D
SelectAlternative
Evaluationand
Agreement
• Assessments• Analysis work
• Financials• NPV / EVA• Sensitivity tornado• Risk profiles• Risk reduction &
contingency plan
• Project Owner• Project Lead• IDM Facilitator• Core team• SME’s
CCreation &Framing ofAlternatives
• Create options• Quant. model• ID Experts
FramingReview
• Decision Hierarchy• Strategy Map• Qualitative analysis• Influence diagram• Identify Experts• Analysis plan
• Project Owner• Project Lead• IDM Facilitator• Core team
BDiscovery &
ScreenOpportunity
• Clarify situation• Define opportunity• Criteria screen
Stop / Goor do IDM
ProcessSteps
DecisionReview Board
PhaseDeliverables
• Business situation• Stakeholder list• Screening for- objectives hierarchy- benefits & risks
• Potential Value• IDM resource plan
• Project Owner• Project Lead• IDM Facilitator
A
KeyParticipants
Decision Analysis is a phased process
11© 1994 - 2006 by Decision Strategies, Inc.Includes material © 1983 - 2002 by Kenneth R. Oppenheimer
Each phase of the DA process has a set of robusttools and techniques with a logical sequence that
encourages open, creative dialog.
We have a large DAtool box and formalprocesses to addressthe needs of majordecisions.
But, we can customize thetoolbox or just choose acouple of key tools to helpwith the critical elements ofsmaller decisions.
12© 1994 - 2006 by Decision Strategies, Inc.Includes material © 1983 - 2002 by Kenneth R. Oppenheimer
Simple DeterministicAnalysis
Level of Ambiguity
Leve
lofU
ncer
tain
ty
ConflictingGoals
ClearGoals
UnclearFuture
ClearFuture
This process is scalable to apply theappropriate level of dialogue and analysis
consistent with decision complexity
Focus on RiskAssessment of few
Options
Full ProcessDiscovery, Framing
andEvaluation
Discovery andFraming Focus
(Minimal Evaluation)
Another dimension toconsider is the financialimpact of the decision
• Always framing is done• 1/3 of the time, simple analysis will do• 1/3 of the time, some risk assessment is required• 1/3 of the time, full process deployment is needed
13© 1994 - 2006 by Decision Strategies, Inc.Includes material © 1983 - 2002 by Kenneth R. Oppenheimer
Decision Complexity Characteristics
•One or two clear choices of alternatives•Uncertainties well defined•Narrow ranges of uncertainty•Simple independent decisions•Minimum number of Stakeholders•Single plant or organization•No external organizations involved•Clarity around a single Decision Maker•Nominal Value Risk
•Limited number of alternatives possible•Large number of uncertainties•Limited knowledge on uncertainties•Several Inter-related decisions•Minimum number of Stakeholders•Single plant or organization•No external organizations involved•Clarity around a single Decision Maker•Significant Value creation potential
•Many alternatives possible•Large number of uncertainties•Limited knowledge on uncertainties•Several Inter-related decisions•Many Stakeholders with diverging opinionsof potential solutions•Significant mis-alignment between DecisionMakers and Stakeholders•External Organizations , e. g. (JV’s)•Extreme Value creation potential
•Many choices of alternatives•Uncertainties well defined•Narrow ranges of uncertainty•Many Stakeholders with diverging opinionsof potential solutions•Significant mis-alignment between DecisionMakers and Stakeholders•External Organizations , e. g. (JV’s)
Level of Ambiguity
Leve
lofU
ncer
tain
ty
ConflictingGoals
ClearGoals
UnclearFuture
ClearFuture
14© 1994 - 2006 by Decision Strategies, Inc.Includes material © 1983 - 2002 by Kenneth R. Oppenheimer
Another way to look at it
Problem
WickedProblem
WildMess
Mess
Level of Ambiguity
Leve
lofU
ncer
tain
ty
ConflictingGoals
ClearGoals
UnclearFuture
ClearFuture
15© 1994 - 2006 by Decision Strategies, Inc.Includes material © 1983 - 2002 by Kenneth R. Oppenheimer
IDM™Deployment Guidelines
IDM Deployment guidelines– Significant analytical resources required
– Simple Framing
– Get Decision Maker endorsement for frame
– Probabilistic evaluation model
– Potential use of Value Options developmentTypical Decision situation
– R&D Strategies
– Negotiation Strategies
– Major Capital Projects
– Maintenance Interval Optimization
IDM Deployment guidelines
– Significant Alignment resources required
– Maximum amount of Framing to achieve alignment
– Lot’s of Stakeholder interaction
– Potential Probabilistic evaluation
– Potential use of Value Options developmentTypical Decision situation
– Organization Strategies
– Positioning for JV discussions
Low Level on Uncertainty and High Level of Ambiguity
IDM Deployment guidelines– Highest level of resources required
– Maximum amount of Framing to achieve alignment
– Probabilistic evaluation model
– Value Options developmentTypical Decision situation
– Major Business Strategy efforts
– JV Negotiations
– New Product Development Strategies
– Mega Capital Projects
High Level on Uncertainty and High Level of AmbiguityHigh Level on Uncertainty and Low Level of Ambiguity
IDM Deployment guidelines– Nominal resources required
– Minimum Framing to confirm alternatives
– Get Decision Maker endorsement for frame
– Simple deterministic Excel evaluation model
– Minimum emphasis on probabilistic analysisTypical Decision situation
– Small Capital Projects (<1 M$)
Low Level on Uncertainty and Low Level of Ambiguity
16© 1994 - 2006 by Decision Strategies, Inc.Includes material © 1983 - 2002 by Kenneth R. Oppenheimer
Critical to ensuring decision quality, thedecision-maker’s input is incorporated
throughout the process at the key dialog points
Develop asharedunderstanding.
Discovery &Screen
Opportunity
Createuniquealternatives.
Creation &Framing ofAlternatives
Learn whereand why valueis created.
Evaluationand
Agreement
Createenthusiasm todecide and act.
Fully DevelopSelected
Alternative
Implement &Monitor
Performance
Charter the team andprovide input into thescope of the project.
Provide input onpreferences anddecision criteria.
Validate businesssituation and providehigh level insights.
Charter the team andprovide input into thescope of the project.
Provide input onpreferences anddecision criteria.
Validate businesssituation and providehigh level insights.
DRB
Validate projectobjectives andstrategic alternatives.
Review influences tobe evaluated andidentity of experts
Provide team thesupport needed toaccess experts
Validate projectobjectives andstrategic alternatives.
Review influences tobe evaluated andidentity of experts
Provide team thesupport needed toaccess experts
DRB
Validate expertinputs for reality andrelevance to decision
Probe evaluationresults for insightand understanding
Look for hybrid ideasor related businesssynergy or impact
Validate expertinputs for reality andrelevance to decision
Probe evaluationresults for insightand understanding
Look for hybrid ideasor related businesssynergy or impact
DRB
Review conclusionsfrom the analysis.
Select optimalalternative to pursue.
Allocate resources toimplement decision.
Communicatedecision acrossorganization.
Review conclusionsfrom the analysis.
Select optimalalternative to pursue.
Allocate resources toimplement decision.
Communicatedecision acrossorganization.
DRB
17© 1994 - 2006 by Decision Strategies, Inc.Includes material © 1983 - 2002 by Kenneth R. Oppenheimer
So…we have available good process andtools, but…
Are we guaranteed agood outcome?
Why not?
What can we doabout this?
18© 1994 - 2006 by Decision Strategies, Inc.Includes material © 1983 - 2002 by Kenneth R. Oppenheimer
GoodDecision
GoodOutcome
• But… when many, or a portfolio ofdecisions, are considered, there is astrong relationship between the numberof good decisions and good outcomes.
• When risk or uncertainty are present, makinga good decision does not guarantee a goodoutcome will always result.
• Conversely, a good outcome does not mean agood decision was made!
In a world of uncertainty, decision qualitycannot be judged by a single outcome.
GoodDecision
GoodOutcome
19© 1994 - 2006 by Decision Strategies, Inc.Includes material © 1983 - 2002 by Kenneth R. Oppenheimer
Recognize the signs of a low quality decision inadvance, so we can avoid making a bad
decision.
Things that cause poor Decisions:
– Improper Frame• Asking the wrong question• Looking at only a subset of the real problem or opportunity
– Failure to consider alternatives
– Lack of meaningful information
– Competing value measures
– Poor logic
– Ignoring risk or taking on too much risk
– Lack of commitment, no buy-in
– Wrong people involved
20© 1994 - 2006 by Decision Strategies, Inc.Includes material © 1983 - 2002 by Kenneth R. Oppenheimer
National Energy Case StudyDescriptionN E
21© 1994 - 2006 by Decision Strategies, Inc.Includes material © 1983 - 2002 by Kenneth R. Oppenheimer
National Energy Case Study Description
• National Energy is an operating entity of a major oil company with a presence on thecoastline of a developing country.
• The country has huge oil reserves and derives the majority of its income from tax onoil exports.
• The government of the country manages the export quotas for National Oil and theother oil companies operating within its territory fairly closely.
• For low cost producers with good community, safety and environmental records, theyoften allow export of up to 90-98% of their production capacity.
• For less efficient producers or producers with poor community records, they haveoften restricted export to 75-80% of their production capacity.
• National Energy has typically been allowed to export 90% of its capacity.• National Energy’s oil fields lie 15 km offshore in shallow water, with a gathering
pipeline that transports the crude oil to their onshore processing facility.• The processing plant is located 5 km inland, approximately 20 km from the offshore
central facilities.
22© 1994 - 2006 by Decision Strategies, Inc.Includes material © 1983 - 2002 by Kenneth R. Oppenheimer
National Energy Case Study Description, Continued
• The plant has a single train of processing equipment with a capacity for 300 thousandbarrels per day of oil and some condensate from the natural gas.
• The plant has been in operation for 25 years and uses a fairly old processingtechnology, including a number of large tanks for chemical treatment of emulsions.
• Additional tanks in the plant are used for storage of the processed oil before it istransferred to a shipping facility for export.
• The use of the storage tanks allows the plant to continue to process oil and store itonshore even when the weather prevents transfer for loading of tankers from itsoffshore shipping facility.
• National Energy has an oil transfer line and a condensate transfer line from the plantto the offshore shipping facility.
• The capacity of the oil transfer line is 300 thousand barrels per day of oil and is usedevery day.
• The gas condensate transfer line has excess capacity, as it is only used one day perweek to transfer the volume of liquids that are processed by the plant
23© 1994 - 2006 by Decision Strategies, Inc.Includes material © 1983 - 2002 by Kenneth R. Oppenheimer
National EnergyFacility Expansion Decision
Discovery
N E
24© 1994 - 2006 by Decision Strategies, Inc.Includes material © 1983 - 2002 by Kenneth R. Oppenheimer
• This is your opportunity to step back, look atthe situation and determine what ishappening.
• Who are the stakeholders & decision-makers?
• What are the ambiguities in this situation?
• What is driving the need for a decision?
• What criteria, goals or objectives will be thebasis for making a decision?
• What Discovery steps would help us clarifythe ambiguities and move forward to adecision?
DiscoveryScreen
Opportunity
• Clarify situation• Define opportunity• Criteria screen
Stop / Goor do IDM
• Business situation• Stakeholder list• Screening for- strategic alignment- benefits & risks
• Potential Value• IDM resource plan
• Project Owner• Project Manager• IDM Facilitator
A
The discovery phase is designed to revealinitial insights and develop a shared
understanding of the situation.
25© 1994 - 2006 by Decision Strategies, Inc.Includes material © 1983 - 2002 by Kenneth R. Oppenheimer
A clearly defined problem will include:
What is the strategic question?
What are the decision criteria?
Who is the decision maker?
What are the issues relevantto this decision?
This is the person(s) responsible forallocating the resources and makingthe solution happen.
The decision criteria can be anythingthat allows the decision maker toquantitatively differentiate onealternative from another.
What are the decisions, uncertainties,facts and values that will affect thedecision to be made.
The strategic question is a concisestatement of what needs to besolved.
26© 1994 - 2006 by Decision Strategies, Inc.Includes material © 1983 - 2002 by Kenneth R. Oppenheimer
National Oil Technology Team Memberships
Core Team• Capital Projects Manager (Team Leader)• Planning - Business Analysis• Process Engineering Advisor• Operations Engineering Advisor• Cost Engineer• DA Facilitator
Decision Board• General Manager• Exploration and Production Manager• Planning Manager• Operations Manager• Joint Venture Manager
All relevant functions need to participate in the decision process
Decision Maker and other stakeholders are critical
27© 1994 - 2006 by Decision Strategies, Inc.Includes material © 1983 - 2002 by Kenneth R. Oppenheimer
Objectivesdecision maker’s goals andcriteria to compare options
DecisionsChoices we can control, which sets adirection or course of action
Uncertaintiesissues we don’t know, cannot control,and will not be resolved until thedecision is made and outcomes begin tooccur
Factsknown laws of nature, policies, orresolved ambiguities
Issues are categorized with the Discoveryfocus on Objectives
28© 1994 - 2006 by Decision Strategies, Inc.Includes material © 1983 - 2002 by Kenneth R. Oppenheimer
Objectives Hierarchy for Decision Criteria
• Individual decision makers may havedifferent objectives, with potential conflictsand tradeoff issues that need to be surfaced.
• Fundamental objectives are above contributing objectives,
– - e.g. profit may be fundamental while cost control is acontributor
• A hierarchy can be constructed with the key objectives to showthe “general” to “specific” relationship and nature of each.
• The dialog on objectives creates a sound basis for making adecision and establishes a clear direction for the entire decisionproject.
29© 1994 - 2006 by Decision Strategies, Inc.Includes material © 1983 - 2002 by Kenneth R. Oppenheimer
Exploration & ProducingCorporate Value
Positive Cash FlowReturn on InvestmentSafety/Environment
CapitalEfficiency
OperatingEfficiency
Revenues(Deliver-ability)
Plant CapacityAnd Utilization
Crude SalesContracts
MinimizeShut-ins
OperatingUp-time
ShippingVolume
ProcessingImprovement
Value fromTechnology
National Oil’s Objectives Hierarchy
Why is this important? To what goal does it contribute?
What are the contributing elements? How can we measure it?
Uses of the Objectives Hierarchy• Clarify ambiguous or conflicting goals• Serve as a foundation for clarifying
the scope of the decision• Define an objective basis for making
a decision• Provide a tool for qualitative
evaluation of alternatives• Provide a starting point for the
quantitative model development• Communicate the purpose and aims
of the decision
30© 1994 - 2006 by Decision Strategies, Inc.Includes material © 1983 - 2002 by Kenneth R. Oppenheimer
Completing the Discovery Phase
• The team is ready to begin the process of framingalternatives once the problem and the factorsinfluencing it are well understood by the team anddecision makers.
– There is a shared understanding of the problem
– The decision maker(s) have clarified the strategic questionto be answered and the objectives of making a decision
– The core working team includes participants representingthe major areas impacted or contributing to the decision
– A project scope and commitment of resources have beenmade to achieve a confident decision within the necessarytimeframe
31© 1994 - 2006 by Decision Strategies, Inc.Includes material © 1983 - 2002 by Kenneth R. Oppenheimer
National EnergyFacility Expansion Decision
Framing
N E
32© 1994 - 2006 by Decision Strategies, Inc.Includes material © 1983 - 2002 by Kenneth R. Oppenheimer
DiscoveryScreen
Opportunity
• Clarify situation• Define opportunity• Criteria screen
Stop / Goor do IDM
ProcessSteps
DecisionReview Board
PhaseDeliverables
• Business situation• Stakeholder list• Screening for- strategic alignment- benefits & risks
• Potential Value• IDM resource plan
• Project Owner• Project Manager• IDM Facilitator
ACreation &Framing ofAlternatives
• Create options• Quant. model• ID Experts
• Decision Hierarchy• Strategy Map• Qualitative analysis• Influence diagram• Identify Experts• Analysis plan
• Project Owner• Project Lead• IDM Facilitator• Core team
B
KeyPartcipants
Learning Objectives
• Learn how to develop a decisionframe that enables creativity andclarity
• Understand how and when to usethe most effective framing tools
• Create alternatives with provenstrategy development techniques
• Develop a strategy table• Create an influence diagram of the
problem and identify experts• Know when framing is complete
Learning Objectives
• Learn how to develop a decisionframe that enables creativity andclarity
• Understand how and when to usethe most effective framing tools
• Create alternatives with provenstrategy development techniques
• Develop a strategy table• Create an influence diagram of the
problem and identify experts• Know when framing is complete
Developing an Appropriate Frame
33© 1994 - 2006 by Decision Strategies, Inc.Includes material © 1983 - 2002 by Kenneth R. Oppenheimer
Objectivesdecision maker’s goals and criteria tocompare options
DecisionsChoices we can control, which sets adirection or course of action
Uncertaintiesissues we don’t know, cannot control,and will not be resolved until thedecision is made and outcomes begin tooccur
Factsknown laws of nature, policies, orresolved ambiguities
Issues raised in the Discovery phase are alsoused in Framing - focusing on Decisions,
Uncertainties, and Facts.
34© 1994 - 2006 by Decision Strategies, Inc.Includes material © 1983 - 2002 by Kenneth R. Oppenheimer
We have created the Objectives Hierarchy- now we need to frame the Decisions and
Uncertainties
(InfluenceDiagram)
(ObjectivesHierarchy)
(DecisionHierarchy)
35© 1994 - 2006 by Decision Strategies, Inc.Includes material © 1983 - 2002 by Kenneth R. Oppenheimer
Framing uses the insights developed in theDiscovery stage to build unique alternatives.
• The Decision Hierarchy will clarifythe scope of the decision options.
• Sets of decisions will need to bepulled together into clearstrategic alternatives for analysis.
• A qualitative analysis can be doneto determine which are viable.
• A relevance model for quantitativeanalysis can then be diagrammed.
36© 1994 - 2006 by Decision Strategies, Inc.Includes material © 1983 - 2002 by Kenneth R. Oppenheimer
Decision Hierarchy is the tool that enablesframing of the decision options and ideas that
are on the table
The decision hierarchy helps to identify the scope of the problem andto separate constraint and implementation decisions from the focusof the analysis.
Objectivesdecision maker’s goals and criteria tocompare options
DecisionsChoices we can control, which sets adirection or course of action
Uncertaintiesissues we don’t know, cannot control, andwill not be resolved until the decision ismade and outcomes begin to occur
Factsknown laws of nature, policies, orresolved ambiguities
POLICYDecisions that have already
been made
STRATEGYDecisions to make now (part of this
decision)
TACTICSDecisions for later
37© 1994 - 2006 by Decision Strategies, Inc.Includes material © 1983 - 2002 by Kenneth R. Oppenheimer
There are three levels of decisions relevant forframing
Identify policy decisions - boundaries to be taken as givens
Identify strategic decisions - open decisions to be made by team
Identify tactical decisions - open decisions to be made later
Use a Decision Hierarchy to showPolicy, Strategy and Tactical decisions.
38© 1994 - 2006 by Decision Strategies, Inc.Includes material © 1983 - 2002 by Kenneth R. Oppenheimer
Policy - Decisions Already MadeCost effective capacity to meet production goalsSafety / Health / Environment record maintainedCorporate value (NPV) at 12% - 1 month deadline
Strategy - Current Open DecisionsFacility storage (for export)Facility processing capacityProcessing technologyOffshore loading line and shipping capacityOperating systems (operability and safety)
Tactical - Decisions to be Made LaterFacility Detailed Engineering DesignContractor Selection
Policy Decisions- already made
Strategy Decisions- team focus
Tactical Decisions- to be made later
National Energy - Decision Hierarchy
39© 1994 - 2006 by Decision Strategies, Inc.Includes material © 1983 - 2002 by Kenneth R. Oppenheimer
Developing CreativeStrategies
from Multiple Decisions
What alternative strategies exist for maximizingvalue?
StrategyThemes
Decision1
Decision2
Decision3
Decision4
40© 1994 - 2006 by Decision Strategies, Inc.Includes material © 1983 - 2002 by Kenneth R. Oppenheimer
Strategy Table Tool
StrategyThemes
Decision1
Decision2
Decision3
Decision4
The decisions and choices from theDecision Hierarchy are used topopulate the alternatives
The decisions and choices from theDecision Hierarchy are used topopulate the alternatives
POLICYDecisions that have already
been made
STRATEGYDecisions to make now (part of this
decision)
TACTICSDecisions for later
The goal is to have choicesthat represent the rangeof options, not a matrix ofall possible permutations.
The goal is to have choicesthat represent the rangeof options, not a matrix ofall possible permutations.
The Objective Hierarchygenerates StrategyThemes.
The Team selects afundamental theme andbuilds a strategy with acoherent set of actions,usually one option fromeach decision category.
The Objective Hierarchygenerates StrategyThemes.
The Team selects afundamental theme andbuilds a strategy with acoherent set of actions,usually one option fromeach decision category.
41© 1994 - 2006 by Decision Strategies, Inc.Includes material © 1983 - 2002 by Kenneth R. Oppenheimer
Safety andOperability
Best (4%)
Better (2%)
CurrentCompliance
FacilityTankage
Current
Add 1
Add 2
Incr. PlantCapacity
Zero
100 (staged)
200
300
400
ProcessSelection
Modern
Modified
As is
LoadingLine
New Line
Dual Svc.plus Pumps
RepairCurrent
The completed Strategy Table is a good formatfor communicating and comparing alternatives
Momentum
Into theFuture
Clone thePlant
StrategyThemes
StagedDevelopment
42© 1994 - 2006 by Decision Strategies, Inc.Includes material © 1983 - 2002 by Kenneth R. Oppenheimer
Each Alternative Must Have A QualitativeAssessment
Objective– key business outcomes that each alternative aims to achieve
Rationale– Positives: aspects which favor success of each alternative
– Negatives:risks of failure or major resistance points foralternative
– Response: what will be the response from other key players
– Hunches: intuitive feelings about the potential of eachalternative
43© 1994 - 2006 by Decision Strategies, Inc.Includes material © 1983 - 2002 by Kenneth R. Oppenheimer
Qualitative Assessments(abbreviated)
Objective Rationale
MomentumStrategy
Into theFuture
Clone thePlant
StagedDevelopment
Save capitalMaintain business
Limited capital riskDoes not meet expansion needsRisk revenue loss with failure to monetize resources
Add capacity andoptimizeoperations
Handles increased capacity and process improvementneeds, while enhancing safety and operating efficiency.HP pumping may add safety risk. Market risk exists forincreased volumes. Significant capital required
Add capacity withknown operation
Handles increased capacity requirements. Can be donequickly with little technical risk.Does not improve safety or efficiency. Market risk existsfor increased volumes. Significant capital required
Add capacity asdriven byproduction andmarket needs.
Handles increased capacity and process improvementneeds, while enhancing safety and operatingefficiency. Minimizes market risk and lost revenuepossibilities. Reasonable capital risk. HP pumpingmay add safety risk.
44© 1994 - 2006 by Decision Strategies, Inc.Includes material © 1983 - 2002 by Kenneth R. Oppenheimer
The last part of the Framing phase is todevelop a logic map or influence diagram on
the opportunity.
• They initially capture the essence ofthe problem and facilitate the dialogbetween the team members.
• As the analysis progresses, theybecome a well defined model of thesituation, and contain all thenecessary and relevant informationneeded to assess the situation.
• They can be evaluated to provideinsights into the appropriate course ofaction, and later used as a means tocommunicate the shared knowledge ofthe team to the organization.
• They initially capture the essence ofthe problem and facilitate the dialogbetween the team members.
• As the analysis progresses, theybecome a well defined model of thesituation, and contain all thenecessary and relevant informationneeded to assess the situation.
• They can be evaluated to provideinsights into the appropriate course ofaction, and later used as a means tocommunicate the shared knowledge ofthe team to the organization.
45© 1994 - 2006 by Decision Strategies, Inc.Includes material © 1983 - 2002 by Kenneth R. Oppenheimer
Value nodes arerepresented by diamonds,hexagons, or octagons
•Usually appear onlyonce in a diagram•Often represent adeterministicrelationship
Uncertainties are shown as ovalsin the influence diagram
•Can be defined by aprobability distribution•Are not controllable by thedecision maker•Can have arcs entering andleaving them denotingeither conditionaldependence ordeterministic information
Influence diagrams also use aspecial set of nodes calleddeterministic nodes. These canbe value or uncertain nodesand are represented by doubleoctagons or ovals.
•These nodes holdformulas or functions.•They representuncertainties or valueswhich are determined bytheir predecessors.
Decision nodes arerepresented by rectangles orsquares
•Can be defined by adoable set of possiblealternatives•Are controllable by thedecision maker•Can have arcs cominginto them which denoteinformation
A simple influence diagram can accuratelyand concisely convey the essence of the
problem or opportunity.
46© 1994 - 2006 by Decision Strategies, Inc.Includes material © 1983 - 2002 by Kenneth R. Oppenheimer
Building the Influence Diagram
Into the Future
Clone the Plant
Stage Development
CorporateValue
Plant
ShippingLine
Regulations
Gladys - Regulatory Marilyn - Plant
Howard-Transportation
Revenues
OperatingExpense Capital
Expense
12% WACC 20 Years
CleanUp Costs
OperatingEfficiency
CrudeSales
Bill - Ops.
GlobalPricing
ProjectLife
Joe-Economist
Dave - PMReserves
QuotaRestriction
PlantCapacity
Sally - Production
Karen - Plant
Ken - Production
Jane -Govt. Affairs
Bill - Environ.
UpstreamInvestment
PlantUp-time
ShippingCapacity
PotentialVolume
Karen-Transportation
Environ-mental