2. John Woodhouse.establishing a Risk Management Plan
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Transcript of 2. John Woodhouse.establishing a Risk Management Plan
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The Woodhouse Partnership Ltd 2010
Establishing a risk management
plan that identifies the optimal
accepted risk
John WoodhouseCEO, TWPL
Chair of Faculty, IAM
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The Woodhouse Partnership Ltd 2010
Asset risk management
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The Woodhouse Partnership Ltd 2010
Assets have different risks, criticalities & needs
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The vital few
The small and many
The core of the business
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How big are the headaches?How much improvement can we achieve?
FUNCTION, SYSTEM or EQUIPMENT
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A B C D E F G H I J
Current
If improved
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Portfolio of assets & systems
(types, criticalities, condition, performance)
Acquire/create
Operate
Maintain
Dispose/replace
3. Activity programme
optimisation(cost/benefit/risk/timings)
2. Asset life cycle optimisation(cost/performance/risk/lifespan)
a) Component/equipment level
b) System level
1. Individual intervention
optimisations(cost/benefit/risk/timing)
PAS 55 requirements for cost/risk optimisation
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What is the right compromise?
Maintenance/Life Cycle (months/years)
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RISK
EXPOSURE
PREVENTIVE
ACTIONS
TOTAL
IMPACTTRUE
OPTIMUM
Balance pointbut not optimal
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MACRO project: Asset Mgmt decision-making
European
EUREKA project EU1488 Investments & Capex Projects Design & purchasing: Life Cycle Costing
Project prioritisation & cost/risk evaluation
Repair vs. replace options
Optimal replacement timing
Life extension/refurbishment projects
Operating & Maintenance Decisions
Maintenance intervals
Inspection/monitoring intvls & alarm points
Safety testing & failure finding tasks
Shutdown & Outage programmes
Work opportunities & clustering
Resources & Purchasing Decisions
Spares & Materials stock
Supplier & Purchasing strategies
www.MACROproject.org
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Conflicting Objectives
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The 4-step Analysis Process
Problem Definition
Direct costs (labour & materials)
Penalty costs (lost oppty, risk etc.)
BENEFITS
Reliability
Efficiency
Life Extension
Compliance
Shine
COSTS
Data Gathering & FilteringFailure modes & consequences
Probability & performance patterns
Costs & penalties
Range estimating
Analysing the uncertaintyWorst-case & Best-case
Sensitivity testing
Evaluate alternative options
Conclusions & Cost/Risk Justifications(how to interpret & explain a business case!)
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Periodic taskse.g. maintenance, inspection, renewal
Periodic taskse.g. maintenance, inspection, renewal
History data events, costs, performance
Current data condition, performance
Future information -
extrapolation/prediction
Main sections of a decision-support toolbox
Base level of decision support: organising data/information to describe the problem
Systems-level strategies,
resourcing & What if? modelingAsset Whole Life Cost/
Performance Optimisation
Level 3: integrating multiple tasks into compromise programmes
1-off taskse.g. modifications & design changes
Periodic taskse.g. maintenance, inspection, renewal
Level 2: evaluating discrete tasks or solutions
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Increasing complexity of the decision
Criticality/
size of the
decision(appropriate
sophistication
& cost of
method)
Yes/No
decisions
Options or
scenario
choices
Specific task
evaluation &
timing
optimisation
Multiple tasks
or systems
configuration/
optimisation
Customised
system/RAM
Simulation
n/a 5 n/a 5
Quantified
cost/benefit/risk
Calculation3 4
Rules, templates
& decision trees 2 n/a
Simple,
structured
common sense 1n/a
Combination of decision criticality & complexity
to select appropriate technology
Levels of cost/risk Patterns of cost/risk
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More complex case, but same output
Optimal
interval
Net impact of delayPremium for
compliance
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Using uncertain information
Inspection Interval (days)
Tota
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& r
isks (
k/d
ay)
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Pro
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Op
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Prioritise Filter
1. asdfasf
2. fwqerv
3. tasdf fwq
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Quantified risk
identification
Root CauseAnalysis
What typeof solution?
Known causes,
unknown solutions
Degree of risk taken
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Imp
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TOTAL
IMPACT
RISK
PREVENTIVE
ACTIONS
OPTIMUM
Cost/benefit/risk
evaluation
Decision-support toolkit
Optimal work
programming
Criticality
ranking
APT-PROJECTCost/risk evaluation
e.g. CMMS,
SPC, RAM
e.g. PROACT
APOLLO
e.g. RCM, RBI
APT-PROJECT(design modifications)
APT-MAINTENANCE(periodic preventive tasks)
APT-INSPECTION
(testing/monitoring tasks)APT-LIFESPAN
(replacement timing)
APT-SCHEDULE
(work/resource
bundling)
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The human factors
Education
Conflicting stakeholder expectations
Cross-functional teamwork mechanisms
Black box mentality
Short-termism & fire-fighting habits
Risk-based decision credibility
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Establishing a risk management system
1. Design, test and obtain top management endorsement of a criticality backbone
2. Build the risk register and create ownership claritya) Sites and/or functional systems level
b) Equipment level (critical systems)
c) Align to FMEA scales & assumptions
3. Develop decision-support toolkit & training in cost/risk optimisation
4. Build risk & uncertainty criteria into all business case proposals and investment decisions
5. Use quick-win cases to pay for more systematic culture change and business process embedding
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Examples of cost/risk optimisation impact:
Maintenance Strategy: Typically 25-40% saving
Inspection/Condition Monitoring: Corrosion monitoring, vibration analysis, protections system testing (up to 50% reduction in testing frequency, some cases 4x more inspection worthwhile)
Shutdown/Outage Strategy: 50% reduction in annual downtime (manuf.), 28% critical circuit outages avoided (NGT), 2xextension in turnaround interval (SASOL)
Projects & Asset Renewals: 400 proposals screened/ranked in just 3 weeks (2 persons); 2.5M capex saved
Strategic spares: $8-12M saved in new plant construction, 60%inventory reduction in materials service company, 3M downtime event avoided in N.Sea
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Conclusions & implications
Failure modes interact so simplistic models (FMEA, Weibull etc) on their own are rarely valid
Life Cycle Cost modelling a) must include CAPEX, OPEX and Risks
b) should not use NPV if different lives are being explored
Tacit knowledge is the key (structured range-estimating is often more valuable that lots of unsorted data)
Data sensitivity is not what everyone thinks
Financial impact of cost/risk optimisation (what is worth doing, when) is c.10x bigger than just improving efficiency(doing the same thing quicker or cheaper)