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Reliability Engineering
Fred Schenkelberg
fms@fmsreliability.com
MEASURING AVAILABILITY
Day 3 Session 1
Objectives
• Structuring a hierarchy of goals and measures
• Determining constraints and bottlenecks
• Developing five measures of availability
• Obtaining measures for critical equipment
• Embarking on structured approach to improve
availability.
• Formulating a condition monitoring program
Availability & Business
• Translating business
objectives into
availability
• Cost
• Yield
• Throughput
• ROI
• …
Hierarchy of Goals
• Business goals to line,
system, or process
• Decision & budget level
• Physical alignment
• Process alignment
Actionable level
• Apportionment
• RBD and apportionment
• Available
• Reliability
• Maintainability
Sample goal statements
• Line x in plant y operates
with 90% availability over
each shift
• Function
• Environment
• Probability
• Duration
• Compressor x on
equipment y provides z
pressure with 95%
reliability over 5 years of
continuous operation.
• Replacement of
compressor x occurs 90%
of the time in less than 2
hours with existing
equipment and
diagnostics.
Performance Reporting Flow
Discussion & Questions
Process flow modeling
• Map the process
including
• Physical item
movement
• Information movement
• Transitions, decisions
• Durations and gates
Constraints
A limiting factor
• Capacity
• Throughput
• Budgetary
Bottlenecks
: a delay caused when one
part of a process or
activity is slower than the
others and so hinders
overall progress
• Opportunity
• Optimization
Examples
• Bottling plant
• Filler equipment
– 600 per hour fill rate
– Lowest rate of all
equipment
• Buffer (inventory holding
area)
– Limited by size or floor
space
Discussion & Questions
Availability
• Ratio of the expected
value of uptime to the
aggregate of the
expected values of up
and down time.
A =
E[Uptime]
E[Uptime]+ E[Downtime]
Inherent Availability, Ai
• The probability of
satisfactory operation at
given point in time
under stated conditions
in an ideal support
environment.
• Downtime only counts
corrective maintenance
and does not include
– Logistics time
– Administrative time
– Preventative
maintenance
• Items under control of
equipment designer.
Achieved Availability, Aa
• Probability of
satisfactory operation at
given point in time
under stated conditions
in ideal support
environments
• Downtime only includes
active preventative and
corrective maintenance
time (wrench time).
• Does not include
– Logistics time
– Administrative time
Operational Availability, Ao
• Probability of
satisfactory operation at
given point in time
under stated conditions
with actual support
environment.
• Downtime includes
everything.
Reliability/
Supportability/ Maintainability/
Design “Cause”
Operational “Effect”
Operation
Logistics Maintenance
Time to
Support (TTS)
Time to
Maintain (TTM)
Time to
Failure (TTF)
System Downtime
Time
Discussion & Questions
Critical Equipment
• What to optimize?
• Bottleneck equipment
• Quality element
• ‘Where the magic
occurs’
Risk Minimization
• Long repair times
• Safety issues
– Explosion
– Releases
• Poor Quality impact
What to Measure
• Direct performance
• Performance indicators
• Quality stability
• Leading indicators
– Current
– Pressure
Measurement Techniques
• Product measurements
• Process parameters
• Process Control
• Inspections and Studies
Discussion & Questions
Availability Improvement Planning
• Assessment
• Process mapping
• Data collection
• Characterize current
state (and reason for
current state)
Level of detail
• Enough data to make
informed decisions
• Is the process stable?
• What causes
differences?
• What is cost of
downtime?
Focus on Value
• Select improvement
projects and tasks that
have highest ROI
– Low hanging fruit
– Major return potential
– Portfolio approach
• Estimate value and risk
before selecting tasks
Program Approaches
• Major redesign
• Incremental
improvements
• Process control
(stability)
• Backup plan
Discussion & Questions
Condition Monitoring
• Regular observations or
measures of indictors of
impending failure.
– Oil level
– Current draw
– vibration
Image from article by Ricky Smith on The Maintenance Phoenix site
Experiments, Models and Measures
• Start measuring today
• Engineering judgment
and experience to
starting monitoring
• Design experiments to
determine effective
predictors
Considerations
• Ability to detect fault
indicators
• Lead time requirements
– Spare parts
– Specialized equipment
• Scheduling optimization
Discussion & Questions
Summary
• Structuring a hierarchy of
goals and measures
• Determining constraints and
bottlenecks
• Developing five measures of
availability
• Obtaining measures for
critical equipment
• Embarking on structured
approach to improve
availability.
• Formulating a condition
monitoring program
Measuring Availability

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Reliability Maintenance Engineering 3 - 1 Measuring Availability

  • 3. Objectives • Structuring a hierarchy of goals and measures • Determining constraints and bottlenecks • Developing five measures of availability • Obtaining measures for critical equipment • Embarking on structured approach to improve availability. • Formulating a condition monitoring program
  • 4.
  • 5. Availability & Business • Translating business objectives into availability • Cost • Yield • Throughput • ROI • …
  • 6. Hierarchy of Goals • Business goals to line, system, or process • Decision & budget level • Physical alignment • Process alignment
  • 7. Actionable level • Apportionment • RBD and apportionment • Available • Reliability • Maintainability
  • 8. Sample goal statements • Line x in plant y operates with 90% availability over each shift • Function • Environment • Probability • Duration • Compressor x on equipment y provides z pressure with 95% reliability over 5 years of continuous operation. • Replacement of compressor x occurs 90% of the time in less than 2 hours with existing equipment and diagnostics.
  • 11.
  • 12. Process flow modeling • Map the process including • Physical item movement • Information movement • Transitions, decisions • Durations and gates
  • 13. Constraints A limiting factor • Capacity • Throughput • Budgetary
  • 14. Bottlenecks : a delay caused when one part of a process or activity is slower than the others and so hinders overall progress • Opportunity • Optimization
  • 15. Examples • Bottling plant • Filler equipment – 600 per hour fill rate – Lowest rate of all equipment • Buffer (inventory holding area) – Limited by size or floor space
  • 17.
  • 18. Availability • Ratio of the expected value of uptime to the aggregate of the expected values of up and down time. A = E[Uptime] E[Uptime]+ E[Downtime]
  • 19. Inherent Availability, Ai • The probability of satisfactory operation at given point in time under stated conditions in an ideal support environment. • Downtime only counts corrective maintenance and does not include – Logistics time – Administrative time – Preventative maintenance • Items under control of equipment designer.
  • 20. Achieved Availability, Aa • Probability of satisfactory operation at given point in time under stated conditions in ideal support environments • Downtime only includes active preventative and corrective maintenance time (wrench time). • Does not include – Logistics time – Administrative time
  • 21. Operational Availability, Ao • Probability of satisfactory operation at given point in time under stated conditions with actual support environment. • Downtime includes everything. Reliability/ Supportability/ Maintainability/ Design “Cause” Operational “Effect” Operation Logistics Maintenance Time to Support (TTS) Time to Maintain (TTM) Time to Failure (TTF) System Downtime
  • 22. Time
  • 24.
  • 25. Critical Equipment • What to optimize? • Bottleneck equipment • Quality element • ‘Where the magic occurs’
  • 26. Risk Minimization • Long repair times • Safety issues – Explosion – Releases • Poor Quality impact
  • 27. What to Measure • Direct performance • Performance indicators • Quality stability • Leading indicators – Current – Pressure
  • 28. Measurement Techniques • Product measurements • Process parameters • Process Control • Inspections and Studies
  • 30.
  • 31. Availability Improvement Planning • Assessment • Process mapping • Data collection • Characterize current state (and reason for current state)
  • 32. Level of detail • Enough data to make informed decisions • Is the process stable? • What causes differences? • What is cost of downtime?
  • 33. Focus on Value • Select improvement projects and tasks that have highest ROI – Low hanging fruit – Major return potential – Portfolio approach • Estimate value and risk before selecting tasks
  • 34. Program Approaches • Major redesign • Incremental improvements • Process control (stability) • Backup plan
  • 36.
  • 37. Condition Monitoring • Regular observations or measures of indictors of impending failure. – Oil level – Current draw – vibration
  • 38. Image from article by Ricky Smith on The Maintenance Phoenix site
  • 39. Experiments, Models and Measures • Start measuring today • Engineering judgment and experience to starting monitoring • Design experiments to determine effective predictors
  • 40. Considerations • Ability to detect fault indicators • Lead time requirements – Spare parts – Specialized equipment • Scheduling optimization
  • 42. Summary • Structuring a hierarchy of goals and measures • Determining constraints and bottlenecks • Developing five measures of availability • Obtaining measures for critical equipment • Embarking on structured approach to improve availability. • Formulating a condition monitoring program Measuring Availability

Editor's Notes

  1. Structuring a hierarchy of goals and measures
  2. Balance between investment and value
  3. Determining constraints and bottlenecks
  4. Balance between investment and value
  5. Developing five measures of availability
  6. Balance between investment and value
  7. Obtaining measures for critical equipment
  8. Balance between investment and value
  9. Embarking on structured approach to improve availability.
  10. Balance between investment and value
  11. Formulating a condition monitoring program
  12. http://www.maintenancephoenix.com/2013/04/23/achieve-breakthrough-performance-today-optimize-production-capacity/
  13. Balance between investment and value