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Does Better Scheduling Drive
Execution Success?
Dr. Dan Patterson, PMP
CEO & Founder, Acumen
About Me
• Legacy
– 20 years of PPM experience
– WelcomHome, WelcomRisk, TerraFirma
– Pertmaster
• Thought Leader
– Risk-based analytics
– S1>S5™ schedule maturity framework
• Founder of Acumen
Acumen
Proven Project Analytics
• Project Management Software
Company
• Insight into challenges & use of
analytics to overcome them
• Core Concepts:
1. Project success requires a sound plan
2. Forecast accuracy requires risk
consideration
Realistic Scheduling
Critiqued
The Base
Risk-Adjusted
Optimized
Team-AlignedS5
S4
S3
S2
S1
Product Offerings
Risk Workshops
Acumen Fuse®
Software Training
Overview
A Research Project
Approach
Fuse Software Demonstration
Questions
Measuring Schedule Quality
Project Execution Measurement
Results and Discussion
0
1
2
3
4
5
6
0 1 2 3 4 5 6
ChanceofSuccess
Maturity Level
S1
• Schedule Basis
• Owner/contractor schedule
S2
• Critiqued Schedule
• Ensure structural integrity
S3
• Risk-Adjusted Schedule
• Account for risk/uncertainty
S4
• Optimized Target Scenarios
• Schedule acceleration
S5
• Team Validated Scenario
• Buy-in on optimization
Schedule Maturity Framework
A Research Project
• Hypothesis
– Is there a correlation between sound project
scheduling and successful, on-time completion?
• Projects Surveyed
– 100’s of major CapEx projects
– Ranged in size from US$15MM – US$30B
– Both owner and contractor involved
Approach
• Quantitative modeling
– Quality of the plan
– Quality of the execution
• Challenges
– Multiple standards
– Binary measurements of execution
Schedule Quality Measurement
• Fuse Schedule Index™
– Used across industries
– Metrics combined with applicable thresholds
• Metrics
– Logic Density™
– Insufficient Detail™
Project Execution Measurement
• Traditional methods
– Issues of granularity
• Baseline Compliance Analysis™
– Acumen-developed method
Baseline Compliance
• More than just a date comparison
• Measures period-compliance
• Included in Acumen Fuse® library
Compliance Scenarios
On-Time Start,
On-Time Finish
On-Time Start,
Finishes Late
Starts Late,
Finishes Late5
4
//33
Started Early,
Finished Early
Started Early,
On-Time Finish2
1
0
0.1
0.2
0.3
0.4
0.5
0.6
0.7
0.8
0.9
1
0% 10% 20% 30% 40% 50% 60% 70% 80% 90% 100%
ProbabilityofOn-TimeCompletion
Fuse Schedule Index™
Results
Metric Analysis
Benefit
• Pinpoint shortcomings
• Project characteristics
• Slice and Dice
About
• 300+ metrics
• Percentage: context
• Threshold: acceptability
Fuse Schedule Index™
Acumen Fuse® Software Demonstration
Case Study
Case Study #3
Realistic Scheduling
Critiqued
The Base
Risk-Adjusted
Optimized
Team-AlignedS5
S4
S3
S2
S1
Schedule Acceleration/Risk Reduction
• GasCom
– LNG Pipeline & Facility Owner
– Early FEED stage
• Project Details
– Readying for sanction approval
– Expected First Gas Date: Dec. 2013
– Gas sales contract already established
– Using Primavera P6
S1 > S2
Realistic Scheduling
Critiqued
The Base
Risk-Adjusted
Optimized
Team-AlignedS5
S4
S3
S2
S1
Schedule Review
• Sanction Board Requirements
– Risk-adjusted forecast P75
– Fuse Schedule Index 75+
• Project Status
– S1 showing Dec 13 first gas
– Risk assessment not yet conducted
S1 > S2
Schedule Critique
• Validated multiple sub-projects
• Test to ensure true path to First Gas
• Analysis showed break in path around
Early Works
• Fixing this, First Gas moved to the right
by 2 months
GasCom Logic Density™
Planning Consistency
• Determine Logic Hotspots™ in schedule
• Level of detail was lacking towards the
end of the project – mainly around
interfaces & integration
More definition
needed
Logic Redundancy
• Removal of redundancy led to a cleaner, more robust schedule
8% redundancy
S1 > S2
Realistic Scheduling
Critiqued
The Base
Risk-Adjusted
Optimized
Team-AlignedS5
S4
S3
S2
S1
Summary
• S2 First Gas date: May 2014
– Risk-adjusted forecast P75
– Fuse Schedule Index 75+
• Project Status
– S1 showing Dec 13 first gas
– Risk assessment not yet conducted
5 months S2: May 2014S1: Dec 2013
Float Analysis
• S1 showed high float in early stage of project
• S2 resolved schedule showed the opposite
• Early acceleration opportunity went away
0
50
100
Q1
2011
Q2
2011
Q3
2011
Q4
2011
Q1
2012
Q2
2012
Q3
2012
Q4
2012
Q1
2013
Q2
2013
Q3
2013
Q4
2013
Q1
2014
Q2
2014
Q3
2014
Q4
2014S1 Average Float S2 Average Float
Originally perceived
opportunity for making up
lost time through float
Resolved schedule not
offering early stage
schedule acceleration
S2 > S3
Realistic Scheduling
Critiqued
The Base
Risk-Adjusted
Optimized
Team-AlignedS5
S4
S3
S2
S1
Risk Analysis
• Objective:
– Determine a P75 First Gas date
• Conducted a Risk Workshop
Uncertainty
Risk
Events
Schedule
Perception of Risk
Uncertainty Factor Best Case (Optimistic) Worst Case (Pessimistic)
Very Conservative 50% 100%
Conservative 75% 105%
Realistic 90% 110%
Aggressive 95% 125%
Very Aggressive 100% 150%
0%
10%
20%
30%
40%
50%
60%
70%
Q1
2011
Q2
2011
Q3
2011
Q4
2011
Q1
2012
Q2
2012
Q3
2012
Q4
2012
Q1
2013
Q2
2013
Q3
2013
Q4
2013
Q1
2014
Q2
2014
Q3
2014
Q4
2014
Team Perception
Actual Risk Hotspots
Risk Insight: Inputs
Aggressive
• Skew to the right
Conservative
• Skew to the left
Broad Risk Range
• Range <> duration
Questionable
Range
• Accidently includes risk
events
No Risk
• Missed ranging
Average Risk Range
• Degree of uncertainty
No upside
• Can only be later
No Downside
• Can only be earlier
Wrong
• Inputs don’t align
Risk Insight: Exposure
High criticality
• Risk indicator
Hidden critical
paths
• Unique insight
Risk Hotspots™
• Risky & complex
logic
Schedule risk
drivers
• True risk metric
High Contingency
• How much buffer
needed?
Average Risk
exposure
• Risk Trending/path
S2 > S3
Realistic Scheduling
Critiqued
The Base
Risk-Adjusted
Optimized
Team-AlignedS5
S4
S3
S2
S1
• P75 risk-adjusted First Gas: Oct 2014
– 10 months later than board expectations
• Identified key risk hot spots
– Long Lead procurement items
• Hidden path identified
– Driven by land acquisition delaying
pipeline early works
S1:
Dec 2013
S2:
May 20145
S3:
Oct 201410
S3 > S4
Realistic Scheduling
Critiqued
The Base
Risk-Adjusted
Optimized
Team-AlignedS5
S4
S3
S2
S1
Getting back to Dec. 2013
• Risk Mitigation:
– Response plan identified for key risks
– Response plans added to schedule
– Assessed cost/benefit of mitigation
– $100MM investment to save 1 month
S3 > S4
Realistic Scheduling
Critiqued
The Base
Risk-Adjusted
Optimized
Team-AlignedS5
S4
S3
S2
S1
Getting back to Dec. 2013
• Schedule Acceleration details:
– LNG Pipeline ready for hookup: Feb 13
– LNG Facility ready to receive gas: Nov 13
• Focus needed:
– Accelerating the LNG facility
• Could afford to slow down
pipeline/field work by months…
LNG Facility
• Criteria set drives acceleration
– Reduce duration
• More resources
– Changed calendars
• Contractor incentive
– Delay Train 2
LNG Facility
Script Objective
“accelerate Facility by 6
months”
Step 1
Accelerate
Jetty
construction
Step 2
Delay Train
2 activities
Step 3
Introduce 6
day working
week/larger
camp
How did this work?
Fuse 360 Acceleration
• CPM simulation
• Critical path focus
• Incremental push
• Prioritize
– Earliest/latest
– Longest durations
– Least resistance
S3 > S4 > S5
Realistic Scheduling
Critiqued
The Base
Risk-Adjusted
Optimized
Team-AlignedS5
S4
S3
S2
S1
Summary
• LNG Facility
– Accelerated sufficiently
– No longer the driving path
• S4 Deterministic First Gas: Aug 2013
– 4 months earlier than S1
– 12 months earlier than S3
– P75 risk-adjusted: Feb 2014
• S5 Team Buy-in
– Final 2 months achieved through more
aggressive mitigation
The Results
• Fully vetted, bought-into schedule
• Risk-adjusted
• LNG Facility accelerated to align with pipeline
• Mitigation plan sponsored by board
• Sanction awarded!
S4: Accelerated
Aug 1 2013
S1: Target 1st Gas
Dec 1 2013
S2: Resolved Schedule
May 1 2014
S3: Risk-Adjusted
Oct 1 2014
P75 S4: Feb 2014
S5: Mitigated
Dec 1 2013
Q&A
More information:
White papers: www.projectacumen.com
Software Trial: www.projectacumen.com/trial
Twitter: @projectacumen
Email: info@projectacumen.com

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Does better scheduling drive execution success ppt

  • 1. Does Better Scheduling Drive Execution Success? Dr. Dan Patterson, PMP CEO & Founder, Acumen
  • 2. About Me • Legacy – 20 years of PPM experience – WelcomHome, WelcomRisk, TerraFirma – Pertmaster • Thought Leader – Risk-based analytics – S1>S5™ schedule maturity framework • Founder of Acumen
  • 3. Acumen Proven Project Analytics • Project Management Software Company • Insight into challenges & use of analytics to overcome them • Core Concepts: 1. Project success requires a sound plan 2. Forecast accuracy requires risk consideration Realistic Scheduling Critiqued The Base Risk-Adjusted Optimized Team-AlignedS5 S4 S3 S2 S1 Product Offerings Risk Workshops Acumen Fuse® Software Training
  • 4. Overview A Research Project Approach Fuse Software Demonstration Questions Measuring Schedule Quality Project Execution Measurement Results and Discussion
  • 5. 0 1 2 3 4 5 6 0 1 2 3 4 5 6 ChanceofSuccess Maturity Level S1 • Schedule Basis • Owner/contractor schedule S2 • Critiqued Schedule • Ensure structural integrity S3 • Risk-Adjusted Schedule • Account for risk/uncertainty S4 • Optimized Target Scenarios • Schedule acceleration S5 • Team Validated Scenario • Buy-in on optimization Schedule Maturity Framework
  • 6. A Research Project • Hypothesis – Is there a correlation between sound project scheduling and successful, on-time completion? • Projects Surveyed – 100’s of major CapEx projects – Ranged in size from US$15MM – US$30B – Both owner and contractor involved
  • 7. Approach • Quantitative modeling – Quality of the plan – Quality of the execution • Challenges – Multiple standards – Binary measurements of execution
  • 8. Schedule Quality Measurement • Fuse Schedule Index™ – Used across industries – Metrics combined with applicable thresholds • Metrics – Logic Density™ – Insufficient Detail™
  • 9. Project Execution Measurement • Traditional methods – Issues of granularity • Baseline Compliance Analysis™ – Acumen-developed method
  • 10. Baseline Compliance • More than just a date comparison • Measures period-compliance • Included in Acumen Fuse® library Compliance Scenarios On-Time Start, On-Time Finish On-Time Start, Finishes Late Starts Late, Finishes Late5 4 //33 Started Early, Finished Early Started Early, On-Time Finish2 1
  • 11. 0 0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9 1 0% 10% 20% 30% 40% 50% 60% 70% 80% 90% 100% ProbabilityofOn-TimeCompletion Fuse Schedule Index™ Results
  • 12. Metric Analysis Benefit • Pinpoint shortcomings • Project characteristics • Slice and Dice About • 300+ metrics • Percentage: context • Threshold: acceptability
  • 14. Acumen Fuse® Software Demonstration Case Study
  • 15. Case Study #3 Realistic Scheduling Critiqued The Base Risk-Adjusted Optimized Team-AlignedS5 S4 S3 S2 S1 Schedule Acceleration/Risk Reduction • GasCom – LNG Pipeline & Facility Owner – Early FEED stage • Project Details – Readying for sanction approval – Expected First Gas Date: Dec. 2013 – Gas sales contract already established – Using Primavera P6
  • 16. S1 > S2 Realistic Scheduling Critiqued The Base Risk-Adjusted Optimized Team-AlignedS5 S4 S3 S2 S1 Schedule Review • Sanction Board Requirements – Risk-adjusted forecast P75 – Fuse Schedule Index 75+ • Project Status – S1 showing Dec 13 first gas – Risk assessment not yet conducted
  • 17. S1 > S2 Schedule Critique • Validated multiple sub-projects • Test to ensure true path to First Gas • Analysis showed break in path around Early Works • Fixing this, First Gas moved to the right by 2 months
  • 18. GasCom Logic Density™ Planning Consistency • Determine Logic Hotspots™ in schedule • Level of detail was lacking towards the end of the project – mainly around interfaces & integration More definition needed
  • 19. Logic Redundancy • Removal of redundancy led to a cleaner, more robust schedule 8% redundancy
  • 20. S1 > S2 Realistic Scheduling Critiqued The Base Risk-Adjusted Optimized Team-AlignedS5 S4 S3 S2 S1 Summary • S2 First Gas date: May 2014 – Risk-adjusted forecast P75 – Fuse Schedule Index 75+ • Project Status – S1 showing Dec 13 first gas – Risk assessment not yet conducted 5 months S2: May 2014S1: Dec 2013
  • 21. Float Analysis • S1 showed high float in early stage of project • S2 resolved schedule showed the opposite • Early acceleration opportunity went away 0 50 100 Q1 2011 Q2 2011 Q3 2011 Q4 2011 Q1 2012 Q2 2012 Q3 2012 Q4 2012 Q1 2013 Q2 2013 Q3 2013 Q4 2013 Q1 2014 Q2 2014 Q3 2014 Q4 2014S1 Average Float S2 Average Float Originally perceived opportunity for making up lost time through float Resolved schedule not offering early stage schedule acceleration
  • 22. S2 > S3 Realistic Scheduling Critiqued The Base Risk-Adjusted Optimized Team-AlignedS5 S4 S3 S2 S1 Risk Analysis • Objective: – Determine a P75 First Gas date • Conducted a Risk Workshop Uncertainty Risk Events Schedule
  • 23. Perception of Risk Uncertainty Factor Best Case (Optimistic) Worst Case (Pessimistic) Very Conservative 50% 100% Conservative 75% 105% Realistic 90% 110% Aggressive 95% 125% Very Aggressive 100% 150% 0% 10% 20% 30% 40% 50% 60% 70% Q1 2011 Q2 2011 Q3 2011 Q4 2011 Q1 2012 Q2 2012 Q3 2012 Q4 2012 Q1 2013 Q2 2013 Q3 2013 Q4 2013 Q1 2014 Q2 2014 Q3 2014 Q4 2014 Team Perception Actual Risk Hotspots
  • 24. Risk Insight: Inputs Aggressive • Skew to the right Conservative • Skew to the left Broad Risk Range • Range <> duration Questionable Range • Accidently includes risk events No Risk • Missed ranging Average Risk Range • Degree of uncertainty No upside • Can only be later No Downside • Can only be earlier Wrong • Inputs don’t align
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  • 26. Risk Insight: Exposure High criticality • Risk indicator Hidden critical paths • Unique insight Risk Hotspots™ • Risky & complex logic Schedule risk drivers • True risk metric High Contingency • How much buffer needed? Average Risk exposure • Risk Trending/path
  • 27.
  • 28. S2 > S3 Realistic Scheduling Critiqued The Base Risk-Adjusted Optimized Team-AlignedS5 S4 S3 S2 S1 • P75 risk-adjusted First Gas: Oct 2014 – 10 months later than board expectations • Identified key risk hot spots – Long Lead procurement items • Hidden path identified – Driven by land acquisition delaying pipeline early works S1: Dec 2013 S2: May 20145 S3: Oct 201410
  • 29. S3 > S4 Realistic Scheduling Critiqued The Base Risk-Adjusted Optimized Team-AlignedS5 S4 S3 S2 S1 Getting back to Dec. 2013 • Risk Mitigation: – Response plan identified for key risks – Response plans added to schedule – Assessed cost/benefit of mitigation – $100MM investment to save 1 month
  • 30. S3 > S4 Realistic Scheduling Critiqued The Base Risk-Adjusted Optimized Team-AlignedS5 S4 S3 S2 S1 Getting back to Dec. 2013 • Schedule Acceleration details: – LNG Pipeline ready for hookup: Feb 13 – LNG Facility ready to receive gas: Nov 13 • Focus needed: – Accelerating the LNG facility • Could afford to slow down pipeline/field work by months…
  • 31. LNG Facility • Criteria set drives acceleration – Reduce duration • More resources – Changed calendars • Contractor incentive – Delay Train 2 LNG Facility Script Objective “accelerate Facility by 6 months” Step 1 Accelerate Jetty construction Step 2 Delay Train 2 activities Step 3 Introduce 6 day working week/larger camp
  • 32. How did this work? Fuse 360 Acceleration • CPM simulation • Critical path focus • Incremental push • Prioritize – Earliest/latest – Longest durations – Least resistance
  • 33. S3 > S4 > S5 Realistic Scheduling Critiqued The Base Risk-Adjusted Optimized Team-AlignedS5 S4 S3 S2 S1 Summary • LNG Facility – Accelerated sufficiently – No longer the driving path • S4 Deterministic First Gas: Aug 2013 – 4 months earlier than S1 – 12 months earlier than S3 – P75 risk-adjusted: Feb 2014 • S5 Team Buy-in – Final 2 months achieved through more aggressive mitigation
  • 34. The Results • Fully vetted, bought-into schedule • Risk-adjusted • LNG Facility accelerated to align with pipeline • Mitigation plan sponsored by board • Sanction awarded! S4: Accelerated Aug 1 2013 S1: Target 1st Gas Dec 1 2013 S2: Resolved Schedule May 1 2014 S3: Risk-Adjusted Oct 1 2014 P75 S4: Feb 2014 S5: Mitigated Dec 1 2013
  • 35. Q&A
  • 36. More information: White papers: www.projectacumen.com Software Trial: www.projectacumen.com/trial Twitter: @projectacumen Email: info@projectacumen.com