SlideShare a Scribd company logo
1
EQUIPMENT RELIABILITY
TRAINING SERIES
LEVEL 1: AWARENESS
2
Introduction
3
OBJECTIVESOBJECTIVES
MINDSETMINDSET
 The Business Case for improving equipment performance in
today’s environment
 Reliability’s relationship to equipment performance
 Importance of production’s sponsorship/ownership
 Change in culture: From reacting to failure to preventing
failure
CAPABILITYCAPABILITY
 Introduce key reliability concepts and terms
 Begin the understanding of how these reliability
concepts relate to improving equipment performance
 Awareness of reliability resources at Whirlpool
PROCESSPROCESS
 Offer processes to apply equipment reliability methods and tools
INTRODUCTION TO EQUIPMENT RELIABILITYINTRODUCTION TO EQUIPMENT RELIABILITY
4
EQUIPMENT RELIABILITY TRAINING SERIESEQUIPMENT RELIABILITY TRAINING SERIES
Awareness
• Importance of high levels of equipment performance
• How to measure equipment uptime/downtime
• Key reliability tools and how to apply to improving equipment performance
Novice
Practitioner
Practitioner• A series of 4hr to 8hr training modules on
selected reliability tools & methods
Reliability Application Engineer
• Local process understanding
• Quantifies and reduces equipment losses
• Applies reliability tools/methods
Reliability Consultant
Level 4
Level 5
Level 3
Level 2
Level 1
• Provides high
level reliability &
methods skills
• How to set up business driven equipment performance goals
• How to link performance goals to improvements in loss categories
• Tools & methods to reduce losses (including maintenance strategies)
• Development and achievement of reliability requirements in Design
5
EQUIPMENT RELIABILITYEQUIPMENT RELIABILITY
TRAINING SERIESTRAINING SERIES
Reliability Awareness (4 Hrs) - at the completion of this training level, the
person should be able to describe the following:
Equipment Performance
1) The importance of high levels of equipment performance and lower (including maintenance) costs in today’s
competitive marketplace
2) The key factors that affect equipment performance (5M’s)
3) Downtime categories and opportunities for improvement
4) The key elements of high level equipment performance measures (Efficiency, OEE and TEEP)
5) Can perform a simple OEE / TEEP calculation
RAM Concepts/Reliability Basics
6) The concepts Reliability, Availability and Maintainability (RAM) and how each of these impacts equipment
performance
7) The importance of defining function and failure
8) The difference between a repairable and a non-repairable system and the associated measures (MTTF,
MTBF and MTTR)
9) The relationship between equipment reliability and process reliability
10) Conceptually define FMEA and FTA their applications
6
EQUIPMENT RELIABILITYEQUIPMENT RELIABILITY
TRAINING SERIESTRAINING SERIES
Reliability Elements in the Asset Life Cycle
11) How, at a conceptual; level, reliability can be integrated into all phases of the Asset Life Cycle
(the “7 Rights”) in order to achieve predictable and high levels of equipment reliability. Specifically,
can describe the key reliability considerations in the equipment design, purchasing and maintenance
phases of the Asset Life Cycle.
12) The important role that operational and maintenance strategies play in improving the reliability of existing
equipment. How to optimize maintenance tasks to reduce costs and still be effective.
Resources
13) Aware of the key support resources for reliability tools, methods and diagnostic technologies.
Reliability Awareness (4 Hrs) - cont’d.
7
Equipment Performance
Tab 2
8
PERFORMANCE OBJECTIVES
Equipment Performance
Record, Categorize and Reduce Equipment
Downtime Losses
Understand and encourage the use of OEE and
TEEP Charts
9
 Improvement Thrusts:
• Extreme Price Competition
• Forced to make substantial Price Reductions
(lowers Profit $)
 The Need for Change
• Reduce Costs
• Improve Equipment Performance
“30 / 30”
TEEP
INTRODUCTION TO EQUIPMENT RELIABILITYINTRODUCTION TO EQUIPMENT RELIABILITY
10
EQUIPMENT PERFORMANCE
Range and Average of Key Equipment
OverallEquipmentEffectiveness(OEE)
100%
85%
75%
65%
55%
45%
35%
OEE =
Good Product Made
Expected Product
World Class OEE
Avg.
1992 1993 1994 1995 1996 1997 1998
11
EQUIPMENT PERFORMANCEEQUIPMENT PERFORMANCE
OPPORTUNITIESOPPORTUNITIES
Reduced wastes
Reduced cycle time
Reduced inventory
Reduced product variability
More efficient use of direct labor
Reduced maintenance costs
- type of work (less reactive)
- extent of work (reduce PM’s)
Reduced schedule disruption
Increased EVA
Reduced capital expenditures
InIn
FocusFocus
- 6 Sigma- 6 Sigma
- 10X- 10X
- AOP Goals- AOP Goals
- Lean Manufacturing- Lean Manufacturing
NeedsNeeds
moremore
focusfocus
• Reduce Costs
• Utilize the “hidden factory”
-- Increase Uptime of existing equipment
12
INTRODUCTION TO EQUIPMENT RELIABILITYINTRODUCTION TO EQUIPMENT RELIABILITY
Equipment Performance
Equipment Reliability
Exercise
13
INTRODUCTION TO EQUIPMENT RELIABILITYINTRODUCTION TO EQUIPMENT RELIABILITY
Equipment Performance
MethodsMaterials Machines Measures Manpower
Reliability Maintainability
— Develop
— Design
— Purchase
— Fabricate
— Install
— Operate
— Maintain
— Store
(How well
equipment performs)
The “Rights
of Reliability:
14
PARTNERSHIP WITH OPERATIONSPARTNERSHIP WITH OPERATIONS
REDUCING COSTS IS A SHARED GOAL
- Reducing Operations Cost
- Reducing Maintenance Costs (but not sub-optimize)
HIGH LEVELS OF EQUIPMENT PERFORMANCE
- Important to Operation
- Important to Capital Projects Team
- Important to Maintenance
OPERATIONS MUST LEAD IMPROVEMENT EFFORT
- Operation “Owns” Asset
- Operations Sets Performance Expectation
- Operation has “most” control of improvement opportunities
25% of Downtime
75% of Downtime
Maintenance
Manufacturing
15
• Measure
• Measure
• Measure
THREE MOST IMPORTANT FACTORS INTHREE MOST IMPORTANT FACTORS IN
IMPROVING PERFORMANCEIMPROVING PERFORMANCE
16
EQUIPMENT/PROCESS EFFECTIVENESS MEASURESEQUIPMENT/PROCESS EFFECTIVENESS MEASURES
Planned
Losses
Operational
Losses
Good ProductionSpeed
Losses
Quality
Losses
A
B
C
D
E
(Total Time)
(Scheduled Time)
(Up Time)
( (O E E T E PEverallOEE quipment ffectiveness) = E/B TEEP otal ffective quipment erformance) = E/A
• Weekends/Holidays
• Shifts not worked
• No Schedule
• Breaks/Lunch
• Meetings/Tours
• Training
• General Cleaning
• PM’s
• Capital Improvement
• Development
• Set-ups/Change-overs
• No Personnel
• No Material
• Equipment Breakdown
• Jams and Minor Stoppages
• Support System Failures
• Reduction from
expected speed
• Product not meeting First
Pass Yield Specs,
which includes:
- Held Product
- Defects/Waste/Scrap
- Machine Rejects
- Quality Samples
- Rework
• First Pass Yield
(Product made right the first time)
17
PERFORMANCE MEASURESPERFORMANCE MEASURES
OEE is a measure of the amount of good product produced compared to the amount
of product that could have been produced if the manufacturing system operated
perfectly (no downtime, operating at its expected speed and all product conforming
to specification) for its entire scheduled time.
OEE =
Scheduled Production
Good Product Made
(Units: Time (hrs) or Production Quantities)
World Class OEE = 85%*
18
PERFORMANCE MEASURESPERFORMANCE MEASURES
TEEP is a measure of the amount of good product produced compared to the amount
of product that could have been produced if the manufacturing system operated
perfectly (no downtime, operating at its expected speed and all product conforming
to specification) for the total amount of time (calendar time) over the time period
under consideration.
TEEP =
Total Time
Scheduled Time
(Units: Time (hrs) or Production Quantities)
Also, TEEP can be considered as follows:
TEEP = OEE x Utilization (where Utilization =
Total Time or Total Expected Units
Good Product Made
)
19
OEE / TEEPOEE / TEEP
OEE = Efficiency X Performance Rate X Quality
Actual Rate
Expected Rate
Good Product Made
Total Product Made
XXXXOEE =
Uptime
Scheduled Time
World Class Equipment Performance
(Performance Rate) (Quality)
XXXXOEE =
(Efficiency)
95%90% 99% = 85%
OEE / TEEP can also be expressed in terms of a formula as follows:
TEEP =
Scheduled Time
Total Time
XX
Good Product Time
Scheduled Time
TEEP =
OEE XX Utilization
20
EQUIPMENT RELIABILITY TRAINING SERIESEQUIPMENT RELIABILITY TRAINING SERIES
The Real Value of measuring OEE/TEEP:
•Understand causes of equipment downtime so that
improvements can be made
•OEE/TEEP is also as valuable as an Equipment
Performance Measure
21
OEE / TEEPOEE / TEEP
EXAMPLEEXAMPLE
Time interval: 24 hrs.
Shift worked: A & B (C not worked - no demand)
Operational downtime Losses:
1.5 hrs equipment (mechanical) breakdown
1.3 hrs no material
1.2 hrs set up
4.0 hrs total loss
1 hr PM during A shift
Speed loss: 5%
Quality loss: 3%
Determine: - categorize machine time losses
- determine amount of time machine
was at “standard”
- calculate OEE & TEEP
Total
Time
24 hrs
Solution:
Planned
Loss
Operational
Loss
Speed
Loss
Quality
Loss
Good Product
Time
8 hr. C Shift
1 hr. PM
9 hrs
4 hrs Uptime
(Time Basis)
Therefore Uptime = 11 hrs (by difference)
22
OEE / TEEPOEE / TEEP
EXAMPLEEXAMPLE
OEE = Good Product / Scheduled = 10.1 hrs / 15 hrs = 67%
TEEP = Good Product / Total Time = 10.1 hrs / 24 hrs = 42%
Speed Losses = Uptime x Speed Loss Rate = 11 hrs x (0.05) = 0.6 hrs
Quality Losses = (Uptime - Speed Loss) x Quality Loss Rate = (11 hrs - 0.6 hrs) x (0.03) = 0.312 hrs
Planned
Loss
Operational
Loss
Speed
Loss
Quality
Loss
Good Product
Time
9 hrs 4 hrs 0.6 hrs 0.3 hrs ? hrs
Total
Time
24 hrs
10.1 hrsGood Product Time (by difference) =
Scheduled Time
Scheduled Time = Total Time - Planned Loss
Scheduled Time = 24 hrs - 9 hrs = 15 hrs
23
EQUIPMENT PERFORMANCE MEASURESEQUIPMENT PERFORMANCE MEASURES
Listed Increasing Levels of SophisticationListed Increasing Levels of Sophistication
I.
II.
III.
IV.
Use measures
Use measures to drive improvement
- awareness of amount of time equipment is
not “scheduled”
Use Performance Measures based on both Scheduled Time (OEE)
and Total Time TEEP
- baseline
- reasons for downtime
- improvement goals
- use common definitions of uptime / downtime for benchmarking
- use OEE as high level measure of equipment
performance. Compare to World Class.
Use consistent measures based on scheduled time
24
Total Time Interval 1 Wk. (7 days;168hrs)
Scheduled Production Time 100 Hrs.
Operational Downtime
Material Problems 6 Hrs.
Product Change Overs 6 Hrs.
Equipment Related Downtime 4 Hrs.
Operator Training Issues 4 Hrs.
20 Hrs.
Planned Production Rate 10 Parts/Hr.
Actual Output 720 Parts
Good Parts (Meeting Specs) 700 Parts
Calculate:
Performance Measure
Example
Assume: - All downtime has been identified
- Actual Speed Rate is less than expected
- Losses ( in hrs)
Planned, Operational, Speed and Quality
- Good Product Time (in hrs):
Good Quality & At Expected Speed
- OEE
- Teep
25
EQUIPMENT RELIABILITY TRAINING SERIESEQUIPMENT RELIABILITY TRAINING SERIES
Planned
Loss
Operational
Loss
Speed
Loss
Quality
Loss
Good Product
Time
___ hrs ___ hrs ___ hrs ___ hrs ___ hrs
Total time =
Scheduled Time =
Uptime =
26
EQUIPMENT RELIABILITY TRAINING SERIESEQUIPMENT RELIABILITY TRAINING SERIES
Planned
Loss
Operational
Loss
Speed
Loss
Quality
Loss
Good Product
Time
68 hrs 20 hrs hrs hrs ? hrs
Total time =
Scheduled Time =
Uptime =
SOLUTION
- data is given
- obtained by difference
168 hrs
100 hrs
80 hrs
Speed Loss: Parts @ expected speed = 80 hrs X 10 parts = 800 parts
hrActual parts = 720 parts
Speed Loss parts lost
expected speed
== 800 parts - 720 parts
10 parts/hr
= 8 hrs
27
EQUIPMENT RELIABILITY TRAINING SERIESEQUIPMENT RELIABILITY TRAINING SERIES
Quality Loss: =
parts lost
expected speed = 2 hrs
(Time)
Planned
Loss
Operational
Loss
Speed
Loss
Quality
Loss
Good Product
Time
68 hrs 20 hrs 8 hrs 2 hrs 70 hrs
OEE =
Good Product Time
Scheduled Time
=
70 hrs
100 hrs
= 70 %
TEEP =
Good Product Time
Total Time
=
70 hrs
168 hrs
= 42 %
Also OEE =
Good Parts
Total Scheduled Time
=
700 parts
100 hrs x 10 parts
= 70 %
hr
720 parts made - 700 parts good
10 parts/hr
28
Record, Categorize and Reduce Equipment
Downtime Losses
Understand and encourage the use of OEE and
TEEP Charts
PERFORMANCE OBJECTIVES
Equipment Performance
29
RAM Definitions, Measures & Tools
30
• Describe the three components of RAM
• Record the “right” failure data
– run time to failure
– machine conditions at failure
– by category
• Use data to analyze failures
– charts
– measures (MTBF, MTTR, OEE,
Availability)
Performance ExpectationsPerformance Expectations
RAM Definitions, Measures &
Tools
31David Garvin, Managing Quality, Free Press, 1988
Quality -Quality - A New DefinitionA New Definition
The
QUALITY
of some subject (i.e. of some product or process) means
the extent to which the subject satisfies the expectations
and needs of the users in operational environments over
a period of time.
32
Reliability =Reliability = Quality over TimeQuality over Time
Reliability is the time dimension to
quality. Product or processes that
meet or exceed customer
expectations, not just when they
are new but over a period of time,
are generally considered to have
high reliability.
Time may be some other measure
than hours like footage, cycles,
indexes, images, copies or
actuations.
33
What is Reliability?What is Reliability?
When we speak of
the reliability of a
product or
process we are
using an
umbrella term
which includes
the concepts of:
Reliability
Maintainability
Availability
Manufacturability
Safety
Serviceability
other ....ilities
34
Components of ReliabilityComponents of Reliability
RELIABILITY …
How long will it last?
MAINTAINABILITY …
How long does it take to repair?
AVAILABILITY …
Is it capable of running when I need it?
SAFETY …
Could someone get hurt?
35
Reliability is Probability ofReliability is Probability of
SuccessSuccess
Reliability is the
probability that an
item will perform its
intended function
adequately for a
specified period of
time under the
specified operating
conditions.
⇒Probability - A number
between 0 and 1
⇒Intended Function -
What is it supposed to do?
⇒Time - For how long:
24x7x365 or many short runs?
⇒Operating
Conditions - Where is it
going to be
installed?
36
What is Failure?What is Failure?
A product or process is said to have failed when it no
longer performs its intended function adequately.
Consider a fuse. Its job is to protect a circuit from
overloading.
If a fuse blows because there was an over-current spike,
the fuse did its job.
However, if there was a current spike and the fuse did not
blow and the wiring caught fire, then the fuse failed!
Therefore, function needs to be clearly defined.
37
ReliabilityReliability
Reliability is the
probability that an
item will perform its
intended function
adequately for a
specified period of
time under the
specified operating
conditions.
Example
A packaging line is designed
to fill 1000 multipacks of film
without a failure. This
constitutes one run. One
hundred runs were initiated
and 90 runs were completed
successfully. The packaging
line reliability can be
estimated by
R(t=1K) = = = 0.9
# of Successful Trials
Total Number of Trials
90
100
38
MaintainabilityMaintainability
Maintainability is the
probability that an item
can be restored to
satisfactory operating
condition within a
specified period of
time under stated
conditions by personnel
having prescribed skill
levels, resources and
procedures.
Example
A piece of equipment was
designed so that all failures
could be fixed in less than 30
minutes by entry level techs.
Reviewing the most recent
100 service events, 15 of then
took longer than 30 minutes
to remedy.
M(t=30) = = = 0.85
# of Successful Events
Total Number of Events
85
100
39
AvailabilityAvailability
Availability is the
probability that an item,
when used under given
conditions, will perform
satisfactorily when
called upon.
Example
Nine times out of ten, when I
walk up to the copier at 8AM,
the copier is ready to process
my job. It is not in STANDBY
and does not have a sign
stating that service has been
called.
A(t= 8) = = = 0.9
# of Successful Trials
Total Number of Trials
9
10
40
Repairable and Nonrepairable DevicesRepairable and Nonrepairable Devices
NONREPAIRABLE
• One-shot device
• If it breaks, throw it out.
• Examples
– Bearings
– Light Bulbs
– Electronic Components
• Replacement strategies
REPAIRABLE
• If it breaks, fix it.
• Employ preventive and
predictive maintenance
strategies.
• Examples
– Spoolers
– Packaging equipment
– Pumps
– Knife sets
Note: The distinction between repairable and nonrepairable devices is critical to how we
collect and analyze data.
41
How is Reliability Measured?How is Reliability Measured?
Number of Failures
Life Cycle Cost
Service/Repair Costs
Reliability (Probability of
Success)
Availability
Costs of Downtime, Waste
B10, B50 Life
Failure Rate
MTTF (Mean Time To
Failure)
MTBF (Mean Time
Between Failures)
MTTR (Mean Time to
Repair/Restore)
OEE (Overall Equipment
Effectiveness)
TEEP (Total Effective
Equipment Performance)
42
ReliabilityReliability
Reliability is the
probability that an
item will perform its
intended function
adequately for a
specified period of
time under the
specified operating
conditions.
Example
A packaging line is designed
to fill 1000 multipacks of film
without a failure. This
constitutes one run. One
hundred runs were initiated
and 90 runs were completed
successfully. The packaging
line reliability can be
estimated by
R(t=1K) = = = 0.9
# of Successful Trials
Total Number of Trials
90
100
MEASURE
S
43
Mean Time To FailureMean Time To Failure
Mean Time To Failure
(MTTF) applies to
nonrepairable items.
MTTF = Sum Failure Times
Number of Failures
Example: Run times to
failure are
10,7,26,20,21,53,32,24,15,19
MTTF=227/10=22.7 hr
Histogram of Failure Tim es
0.0
1.0
2.0
3.0
5 10 15 20 25 30 35 40 45 50 55
Time
NumberofFailures
MEASURE
S
H
10 20 30 40 50
44
What Data Should BeWhat Data Should Be
Collected?Collected?
1.
2.
3.
4.
5.
6.
7.
8.
9.
10.
MEASURE
S
45
Repairable SystemsRepairable Systems
NEUTRAL/SAD/HAPPY SYSTEMS
The order of the failure times is important.
32 43 51 65 17715 27
177 65 51 43 32 27 15
51 43 27 177 15 65 32
MEASURE
S
46
Mean Time Between FailuresMean Time Between Failures
For Repairable Items, the arrival order of the
failure times is important
MEAN TIME BETWEEN FAILURES applies to
“neutral” repairable items.
Sum Inter-arrival Times
Number of Failures
MTBF =
For example:
51+43+27+177+15+65+32
7
MTBF = =
410
7 = 58.6
51 43 27 177 15 65 32
MEASURE
S
47
For Repairable Equipment, WhatFor Repairable Equipment, What
Data Should Be Collected?Data Should Be Collected?
1. Event Date
2. Clock Time
3. Machine clocks, meters,
counters
4. Failure Mode
What was
seen/smelled/heard?
5. Machine Parameters
What was the machine
doing prior to the
event?
6. Time to repair or restore
Did the repair go
smoothly?
7. What adjustments were
made?
8. Parts used
Were the parts broken?
Were the replacements
new or rebuilt?
9. Root cause of the stoppage
What actually happened?
10. Failure Mechanism
MEASURE
S
48
Mean Time To RepairMean Time To Repair
Mean Time To Repair
(MTTR) applies to time
actually spent performing
a repair.
MTTR = Sum Repair Times
Number of Repairs
Example: Repair times in
hours for 10 cellular
phones: 0.1, 0.6, 1.3, .05,
0.4, 1.1, 0.15, 0.1, 0.3, 0.2
MTTR=4.3/10=.43 hours
Histogram of Repair Times
0
1
2
3
4
5
6
0.25 0.5 0.75 1 1.25 1.5
Time
NumberofRepairs
MEASURE
S
.25 .50 .75 1.00 1.25 1.50
49
What Additional DataWhat Additional Data
Should Be Collected ForShould Be Collected For
Repairs?Repairs?
1.
2.
3.
4.
5.
MEASURE
S
50
AvailabilityAvailability
Availability is the proportion of the the time the
system is operating.
Over a long period of time, AVAILABILITY is
Uptime MTBF
Uptime + Downtime MTBF + MTTR
AVAILABILITY combines RELIABILITY AND MAINTAINABILITY.
Note: This is the classical definition of Availability which excludes changeover
time, scheduled maintenance and idle time.
MEASURE
S
UP UP UP UP
DOWN DOWN DOWN0 T
A = =
51
Reliability Measures SummaryReliability Measures Summary
There are a variety of RAM measures.
One number, for example the MTBF, might not be
adequate.
For repairable systems, keep the data in time order
and generate a time line plot.
For nonrepairable data, a histogram does a good
job of displaying the variability in the data.
52
Intent of Reliability MethodsIntent of Reliability Methods
To prevent failures from occurring
To mitigate the effect of a failure
To restore the system to a working state quickly if it
did fail and, additionally, to measure and predict
failure
53
Methods to Prevent FailuresMethods to Prevent Failures
The best time to think about failure prevention is in
the development and design phases of a
project.
 RAM concepts in the project requirements and
specification documents
 Robust Design
 Load/Strength Analysis
 Failure Mode, Effects & Criticality Analysis (FMECA)
 Fault Tree Analysis (FTA)
 Part Selection and Derating
 Flow Dynamics Analysis
54
• Describe the three components of RAM
• Record the “right” failure data
– run time to failure
–machine conditions at failure
–by category
• Use data to analyze failures
– charts
–measures (MTBF, MTTR, OEE,
Availability)
Performance ExpectationsPerformance Expectations
RAM Definitions, Measures &
Tools
55
Reliability: New Equipment
56
Reliability: New Equipment
Recognize the “Design for Reliability” Process
Ensure reliability REQUIREMENTS exist.
Base decisions on Life Cycle Costing.
Include reliability SPECIFICATIONS in Requests for
Quotes and Purchase Orders.
Conduct formal reliability design reviews based upon
FMECA guidelines. Enlist support from company experts.
Request R.A.M information from vendors.
Start involving cross functional team with new hardware
early in the develop/design process.
Performance ExpectationsPerformance Expectations
57
ASSET LIFE CYCLEASSET LIFE CYCLE
Project
Launch
Concept,
Development
and
Design
Final Engineering
Purchase
Fabricate
Install
Startup
Commission
Accreditation
Operate
and
Maintain
Decommission
“PROJECT LIFE”
LaunchConcept Design Execution Commissioning Utilization
REMEMBER
“PROJECT LIFE” IS NOT
ASSET LIFE.
THINK BEYOND
PROJECT LIFE!
End of Useful
Life

More Related Content

What's hot

Predictive maintenance
Predictive maintenancePredictive maintenance
Predictive maintenance
Elena Maria Vaccher
 
CONDITION BASED MAINTAINACE BASICS presentation
CONDITION BASED MAINTAINACE BASICS presentation CONDITION BASED MAINTAINACE BASICS presentation
CONDITION BASED MAINTAINACE BASICS presentation
RAJKUMAR Rswagmare
 
Machine maintenance presentation
Machine maintenance presentationMachine maintenance presentation
Machine maintenance presentation
himu_kamrul
 
Introduction to Reliability Centered Maintenance
Introduction to Reliability Centered MaintenanceIntroduction to Reliability Centered Maintenance
Introduction to Reliability Centered Maintenance
Dibyendu De
 
RCM
RCMRCM
Condition monitoring
Condition monitoringCondition monitoring
Condition monitoring
Kshitija Hinge
 
Preventive and predictive maintainence
Preventive and predictive maintainencePreventive and predictive maintainence
Preventive and predictive maintainence
Ankit Narain
 
Basic Maintenance
Basic MaintenanceBasic Maintenance
Basic Maintenance
RAHMAT EIE
 
Maintenance strategy
Maintenance strategyMaintenance strategy
Maintenance strategy
gumma alsgier
 
TPM: Planned Maintenance
TPM: Planned MaintenanceTPM: Planned Maintenance
TPM: Planned Maintenance
Operational Excellence Consulting
 
A CASE STUDY ON PREVENTIVE MAINTENANCE
A CASE STUDY ON PREVENTIVE MAINTENANCEA CASE STUDY ON PREVENTIVE MAINTENANCE
A CASE STUDY ON PREVENTIVE MAINTENANCEZubair Ali ali
 
Reliability centred maintenance
Reliability centred maintenanceReliability centred maintenance
Reliability centred maintenanceSHIVAJI CHOUDHURY
 
Predictive Maintenance
Predictive MaintenancePredictive Maintenance
Predictive Maintenance
fljungbe
 
Condition monitoring
Condition monitoringCondition monitoring
Condition monitoring
Ankit Narain
 
Webinar | GE & Stork | APM Best Practices - Mechanical Integrity
Webinar | GE & Stork | APM Best Practices - Mechanical IntegrityWebinar | GE & Stork | APM Best Practices - Mechanical Integrity
Webinar | GE & Stork | APM Best Practices - Mechanical Integrity
Stork
 
Reliability Centered Maintenance Implementation and Case Study
Reliability Centered Maintenance Implementation and Case StudyReliability Centered Maintenance Implementation and Case Study
Reliability Centered Maintenance Implementation and Case Study
Waseem Akram
 
Reliability
ReliabilityReliability
Presentation on Condition Monitoring
Presentation on Condition MonitoringPresentation on Condition Monitoring
Presentation on Condition Monitoring
Md. Shahin Manjurul Alam
 
Reliability Centred Maintenance Presentation
Reliability Centred Maintenance PresentationReliability Centred Maintenance Presentation
Reliability Centred Maintenance Presentation
Andy_Watson_Sim
 

What's hot (20)

Predictive maintenance
Predictive maintenancePredictive maintenance
Predictive maintenance
 
CONDITION BASED MAINTAINACE BASICS presentation
CONDITION BASED MAINTAINACE BASICS presentation CONDITION BASED MAINTAINACE BASICS presentation
CONDITION BASED MAINTAINACE BASICS presentation
 
Maintenance management
Maintenance managementMaintenance management
Maintenance management
 
Machine maintenance presentation
Machine maintenance presentationMachine maintenance presentation
Machine maintenance presentation
 
Introduction to Reliability Centered Maintenance
Introduction to Reliability Centered MaintenanceIntroduction to Reliability Centered Maintenance
Introduction to Reliability Centered Maintenance
 
RCM
RCMRCM
RCM
 
Condition monitoring
Condition monitoringCondition monitoring
Condition monitoring
 
Preventive and predictive maintainence
Preventive and predictive maintainencePreventive and predictive maintainence
Preventive and predictive maintainence
 
Basic Maintenance
Basic MaintenanceBasic Maintenance
Basic Maintenance
 
Maintenance strategy
Maintenance strategyMaintenance strategy
Maintenance strategy
 
TPM: Planned Maintenance
TPM: Planned MaintenanceTPM: Planned Maintenance
TPM: Planned Maintenance
 
A CASE STUDY ON PREVENTIVE MAINTENANCE
A CASE STUDY ON PREVENTIVE MAINTENANCEA CASE STUDY ON PREVENTIVE MAINTENANCE
A CASE STUDY ON PREVENTIVE MAINTENANCE
 
Reliability centred maintenance
Reliability centred maintenanceReliability centred maintenance
Reliability centred maintenance
 
Predictive Maintenance
Predictive MaintenancePredictive Maintenance
Predictive Maintenance
 
Condition monitoring
Condition monitoringCondition monitoring
Condition monitoring
 
Webinar | GE & Stork | APM Best Practices - Mechanical Integrity
Webinar | GE & Stork | APM Best Practices - Mechanical IntegrityWebinar | GE & Stork | APM Best Practices - Mechanical Integrity
Webinar | GE & Stork | APM Best Practices - Mechanical Integrity
 
Reliability Centered Maintenance Implementation and Case Study
Reliability Centered Maintenance Implementation and Case StudyReliability Centered Maintenance Implementation and Case Study
Reliability Centered Maintenance Implementation and Case Study
 
Reliability
ReliabilityReliability
Reliability
 
Presentation on Condition Monitoring
Presentation on Condition MonitoringPresentation on Condition Monitoring
Presentation on Condition Monitoring
 
Reliability Centred Maintenance Presentation
Reliability Centred Maintenance PresentationReliability Centred Maintenance Presentation
Reliability Centred Maintenance Presentation
 

Similar to Equipment reliability l1

The Critical KPI to drive Manufacturing Productivity
The Critical KPI to drive Manufacturing ProductivityThe Critical KPI to drive Manufacturing Productivity
The Critical KPI to drive Manufacturing Productivity
Jason Corder
 
OEE - The Critical KPI to Drive Manufacturing Productivity
OEE - The Critical KPI to Drive Manufacturing ProductivityOEE - The Critical KPI to Drive Manufacturing Productivity
OEE - The Critical KPI to Drive Manufacturing Productivity
Parsec_Automation_Corp
 
The Critical KPI to Drive Manufacturing Productivity
The Critical KPI to Drive Manufacturing ProductivityThe Critical KPI to Drive Manufacturing Productivity
The Critical KPI to Drive Manufacturing Productivity
Corey Vodvarka
 
Tpm (group 8)
Tpm (group 8)Tpm (group 8)
Tpm (group 8)
Jitesh Gaurav
 
Autonomous Maintenance (AM)
Autonomous Maintenance (AM)Autonomous Maintenance (AM)
Autonomous Maintenance (AM)
Pramod A
 
total productive maintenance
total productive maintenancetotal productive maintenance
total productive maintenance
Shankha Goswami
 
Implementation of 5S and KOBETSU KAIZEN (TPM Pillar) in a Manufacturing Organ...
Implementation of 5S and KOBETSU KAIZEN (TPM Pillar) in a Manufacturing Organ...Implementation of 5S and KOBETSU KAIZEN (TPM Pillar) in a Manufacturing Organ...
Implementation of 5S and KOBETSU KAIZEN (TPM Pillar) in a Manufacturing Organ...
IRJET Journal
 
OLE training
OLE trainingOLE training
OLE training
Jitesh Gaurav
 
Ole training
Ole trainingOle training
Ole training
Jitesh Gaurav
 
I012536474
I012536474I012536474
I012536474
IOSR Journals
 
Project cycle
Project cycleProject cycle
Project cycle
Dema Dias
 
A038301010
A038301010A038301010
A038301010
theijes
 
Basics of maintenance processes
Basics of maintenance processesBasics of maintenance processes
Basics of maintenance processes
GangaSumanth
 
Equipment reliability l2
Equipment reliability l2Equipment reliability l2
Equipment reliability l2
Matthew Clemens
 
Maintainance engineering and management
Maintainance engineering and managementMaintainance engineering and management
Maintainance engineering and management
bahir dar university
 
19BT02004.pptx
19BT02004.pptx19BT02004.pptx
19BT02004.pptx
DevenGohel1
 
Production and operation management
Production and operation managementProduction and operation management
Production and operation management
Harsha Mathad
 
OEE vs TEEP.pdf
OEE vs TEEP.pdfOEE vs TEEP.pdf
OEE vs TEEP.pdf
ErmiyasMistre
 
[Partial Preview:] Overall Equipment Effectiveness (OEE)
[Partial Preview:] Overall Equipment Effectiveness (OEE)[Partial Preview:] Overall Equipment Effectiveness (OEE)
[Partial Preview:] Overall Equipment Effectiveness (OEE)
Operational Excellence Consulting
 

Similar to Equipment reliability l1 (20)

lean & agile
lean & agilelean & agile
lean & agile
 
The Critical KPI to drive Manufacturing Productivity
The Critical KPI to drive Manufacturing ProductivityThe Critical KPI to drive Manufacturing Productivity
The Critical KPI to drive Manufacturing Productivity
 
OEE - The Critical KPI to Drive Manufacturing Productivity
OEE - The Critical KPI to Drive Manufacturing ProductivityOEE - The Critical KPI to Drive Manufacturing Productivity
OEE - The Critical KPI to Drive Manufacturing Productivity
 
The Critical KPI to Drive Manufacturing Productivity
The Critical KPI to Drive Manufacturing ProductivityThe Critical KPI to Drive Manufacturing Productivity
The Critical KPI to Drive Manufacturing Productivity
 
Tpm (group 8)
Tpm (group 8)Tpm (group 8)
Tpm (group 8)
 
Autonomous Maintenance (AM)
Autonomous Maintenance (AM)Autonomous Maintenance (AM)
Autonomous Maintenance (AM)
 
total productive maintenance
total productive maintenancetotal productive maintenance
total productive maintenance
 
Implementation of 5S and KOBETSU KAIZEN (TPM Pillar) in a Manufacturing Organ...
Implementation of 5S and KOBETSU KAIZEN (TPM Pillar) in a Manufacturing Organ...Implementation of 5S and KOBETSU KAIZEN (TPM Pillar) in a Manufacturing Organ...
Implementation of 5S and KOBETSU KAIZEN (TPM Pillar) in a Manufacturing Organ...
 
OLE training
OLE trainingOLE training
OLE training
 
Ole training
Ole trainingOle training
Ole training
 
I012536474
I012536474I012536474
I012536474
 
Project cycle
Project cycleProject cycle
Project cycle
 
A038301010
A038301010A038301010
A038301010
 
Basics of maintenance processes
Basics of maintenance processesBasics of maintenance processes
Basics of maintenance processes
 
Equipment reliability l2
Equipment reliability l2Equipment reliability l2
Equipment reliability l2
 
Maintainance engineering and management
Maintainance engineering and managementMaintainance engineering and management
Maintainance engineering and management
 
19BT02004.pptx
19BT02004.pptx19BT02004.pptx
19BT02004.pptx
 
Production and operation management
Production and operation managementProduction and operation management
Production and operation management
 
OEE vs TEEP.pdf
OEE vs TEEP.pdfOEE vs TEEP.pdf
OEE vs TEEP.pdf
 
[Partial Preview:] Overall Equipment Effectiveness (OEE)
[Partial Preview:] Overall Equipment Effectiveness (OEE)[Partial Preview:] Overall Equipment Effectiveness (OEE)
[Partial Preview:] Overall Equipment Effectiveness (OEE)
 

More from Matthew Clemens

Reliability Engineering Program Rochester Institute of Technology
Reliability Engineering Program Rochester Institute of TechnologyReliability Engineering Program Rochester Institute of Technology
Reliability Engineering Program Rochester Institute of Technology
Matthew Clemens
 
Design for reliability
Design for reliabilityDesign for reliability
Design for reliability
Matthew Clemens
 
Rcm 4 hour overview for rcm teams
Rcm 4 hour overview for rcm teamsRcm 4 hour overview for rcm teams
Rcm 4 hour overview for rcm teams
Matthew Clemens
 
Crustbreaker kaizen & sfmea
Crustbreaker kaizen &  sfmeaCrustbreaker kaizen &  sfmea
Crustbreaker kaizen & sfmea
Matthew Clemens
 
EAM Continuum
EAM ContinuumEAM Continuum
EAM Continuum
Matthew Clemens
 
Failure Code Quality Plan Implementation At Alcoa Massena
Failure Code Quality Plan Implementation At Alcoa MassenaFailure Code Quality Plan Implementation At Alcoa Massena
Failure Code Quality Plan Implementation At Alcoa MassenaMatthew Clemens
 
Ims Maint Mgmt Best Practice
Ims Maint Mgmt Best PracticeIms Maint Mgmt Best Practice
Ims Maint Mgmt Best PracticeMatthew Clemens
 
Corrective Orders
Corrective OrdersCorrective Orders
Corrective Orders
Matthew Clemens
 

More from Matthew Clemens (10)

Reliability Engineering Program Rochester Institute of Technology
Reliability Engineering Program Rochester Institute of TechnologyReliability Engineering Program Rochester Institute of Technology
Reliability Engineering Program Rochester Institute of Technology
 
Design for reliability
Design for reliabilityDesign for reliability
Design for reliability
 
Rcm 4 hour overview for rcm teams
Rcm 4 hour overview for rcm teamsRcm 4 hour overview for rcm teams
Rcm 4 hour overview for rcm teams
 
Crustbreaker kaizen & sfmea
Crustbreaker kaizen &  sfmeaCrustbreaker kaizen &  sfmea
Crustbreaker kaizen & sfmea
 
EAM Continuum
EAM ContinuumEAM Continuum
EAM Continuum
 
Failure Code Quality Plan Implementation At Alcoa Massena
Failure Code Quality Plan Implementation At Alcoa MassenaFailure Code Quality Plan Implementation At Alcoa Massena
Failure Code Quality Plan Implementation At Alcoa Massena
 
Af Bagger
Af BaggerAf Bagger
Af Bagger
 
Quality Plans4 Pdm
Quality Plans4 PdmQuality Plans4 Pdm
Quality Plans4 Pdm
 
Ims Maint Mgmt Best Practice
Ims Maint Mgmt Best PracticeIms Maint Mgmt Best Practice
Ims Maint Mgmt Best Practice
 
Corrective Orders
Corrective OrdersCorrective Orders
Corrective Orders
 

Recently uploaded

一比一原版(IIT毕业证)伊利诺伊理工大学毕业证成绩单专业办理
一比一原版(IIT毕业证)伊利诺伊理工大学毕业证成绩单专业办理一比一原版(IIT毕业证)伊利诺伊理工大学毕业证成绩单专业办理
一比一原版(IIT毕业证)伊利诺伊理工大学毕业证成绩单专业办理
zwunae
 
Standard Reomte Control Interface - Neometrix
Standard Reomte Control Interface - NeometrixStandard Reomte Control Interface - Neometrix
Standard Reomte Control Interface - Neometrix
Neometrix_Engineering_Pvt_Ltd
 
The role of big data in decision making.
The role of big data in decision making.The role of big data in decision making.
The role of big data in decision making.
ankuprajapati0525
 
Planning Of Procurement o different goods and services
Planning Of Procurement o different goods and servicesPlanning Of Procurement o different goods and services
Planning Of Procurement o different goods and services
JoytuBarua2
 
ML for identifying fraud using open blockchain data.pptx
ML for identifying fraud using open blockchain data.pptxML for identifying fraud using open blockchain data.pptx
ML for identifying fraud using open blockchain data.pptx
Vijay Dialani, PhD
 
Cosmetic shop management system project report.pdf
Cosmetic shop management system project report.pdfCosmetic shop management system project report.pdf
Cosmetic shop management system project report.pdf
Kamal Acharya
 
Runway Orientation Based on the Wind Rose Diagram.pptx
Runway Orientation Based on the Wind Rose Diagram.pptxRunway Orientation Based on the Wind Rose Diagram.pptx
Runway Orientation Based on the Wind Rose Diagram.pptx
SupreethSP4
 
Top 10 Oil and Gas Projects in Saudi Arabia 2024.pdf
Top 10 Oil and Gas Projects in Saudi Arabia 2024.pdfTop 10 Oil and Gas Projects in Saudi Arabia 2024.pdf
Top 10 Oil and Gas Projects in Saudi Arabia 2024.pdf
Teleport Manpower Consultant
 
CME397 Surface Engineering- Professional Elective
CME397 Surface Engineering- Professional ElectiveCME397 Surface Engineering- Professional Elective
CME397 Surface Engineering- Professional Elective
karthi keyan
 
CFD Simulation of By-pass Flow in a HRSG module by R&R Consult.pptx
CFD Simulation of By-pass Flow in a HRSG module by R&R Consult.pptxCFD Simulation of By-pass Flow in a HRSG module by R&R Consult.pptx
CFD Simulation of By-pass Flow in a HRSG module by R&R Consult.pptx
R&R Consult
 
在线办理(ANU毕业证书)澳洲国立大学毕业证录取通知书一模一样
在线办理(ANU毕业证书)澳洲国立大学毕业证录取通知书一模一样在线办理(ANU毕业证书)澳洲国立大学毕业证录取通知书一模一样
在线办理(ANU毕业证书)澳洲国立大学毕业证录取通知书一模一样
obonagu
 
Nuclear Power Economics and Structuring 2024
Nuclear Power Economics and Structuring 2024Nuclear Power Economics and Structuring 2024
Nuclear Power Economics and Structuring 2024
Massimo Talia
 
Governing Equations for Fundamental Aerodynamics_Anderson2010.pdf
Governing Equations for Fundamental Aerodynamics_Anderson2010.pdfGoverning Equations for Fundamental Aerodynamics_Anderson2010.pdf
Governing Equations for Fundamental Aerodynamics_Anderson2010.pdf
WENKENLI1
 
Architectural Portfolio Sean Lockwood
Architectural Portfolio Sean LockwoodArchitectural Portfolio Sean Lockwood
Architectural Portfolio Sean Lockwood
seandesed
 
Hybrid optimization of pumped hydro system and solar- Engr. Abdul-Azeez.pdf
Hybrid optimization of pumped hydro system and solar- Engr. Abdul-Azeez.pdfHybrid optimization of pumped hydro system and solar- Engr. Abdul-Azeez.pdf
Hybrid optimization of pumped hydro system and solar- Engr. Abdul-Azeez.pdf
fxintegritypublishin
 
Water Industry Process Automation and Control Monthly - May 2024.pdf
Water Industry Process Automation and Control Monthly - May 2024.pdfWater Industry Process Automation and Control Monthly - May 2024.pdf
Water Industry Process Automation and Control Monthly - May 2024.pdf
Water Industry Process Automation & Control
 
Immunizing Image Classifiers Against Localized Adversary Attacks
Immunizing Image Classifiers Against Localized Adversary AttacksImmunizing Image Classifiers Against Localized Adversary Attacks
Immunizing Image Classifiers Against Localized Adversary Attacks
gerogepatton
 
AP LAB PPT.pdf ap lab ppt no title specific
AP LAB PPT.pdf ap lab ppt no title specificAP LAB PPT.pdf ap lab ppt no title specific
AP LAB PPT.pdf ap lab ppt no title specific
BrazilAccount1
 
一比一原版(UofT毕业证)多伦多大学毕业证成绩单如何办理
一比一原版(UofT毕业证)多伦多大学毕业证成绩单如何办理一比一原版(UofT毕业证)多伦多大学毕业证成绩单如何办理
一比一原版(UofT毕业证)多伦多大学毕业证成绩单如何办理
ydteq
 
ASME IX(9) 2007 Full Version .pdf
ASME IX(9)  2007 Full Version       .pdfASME IX(9)  2007 Full Version       .pdf
ASME IX(9) 2007 Full Version .pdf
AhmedHussein950959
 

Recently uploaded (20)

一比一原版(IIT毕业证)伊利诺伊理工大学毕业证成绩单专业办理
一比一原版(IIT毕业证)伊利诺伊理工大学毕业证成绩单专业办理一比一原版(IIT毕业证)伊利诺伊理工大学毕业证成绩单专业办理
一比一原版(IIT毕业证)伊利诺伊理工大学毕业证成绩单专业办理
 
Standard Reomte Control Interface - Neometrix
Standard Reomte Control Interface - NeometrixStandard Reomte Control Interface - Neometrix
Standard Reomte Control Interface - Neometrix
 
The role of big data in decision making.
The role of big data in decision making.The role of big data in decision making.
The role of big data in decision making.
 
Planning Of Procurement o different goods and services
Planning Of Procurement o different goods and servicesPlanning Of Procurement o different goods and services
Planning Of Procurement o different goods and services
 
ML for identifying fraud using open blockchain data.pptx
ML for identifying fraud using open blockchain data.pptxML for identifying fraud using open blockchain data.pptx
ML for identifying fraud using open blockchain data.pptx
 
Cosmetic shop management system project report.pdf
Cosmetic shop management system project report.pdfCosmetic shop management system project report.pdf
Cosmetic shop management system project report.pdf
 
Runway Orientation Based on the Wind Rose Diagram.pptx
Runway Orientation Based on the Wind Rose Diagram.pptxRunway Orientation Based on the Wind Rose Diagram.pptx
Runway Orientation Based on the Wind Rose Diagram.pptx
 
Top 10 Oil and Gas Projects in Saudi Arabia 2024.pdf
Top 10 Oil and Gas Projects in Saudi Arabia 2024.pdfTop 10 Oil and Gas Projects in Saudi Arabia 2024.pdf
Top 10 Oil and Gas Projects in Saudi Arabia 2024.pdf
 
CME397 Surface Engineering- Professional Elective
CME397 Surface Engineering- Professional ElectiveCME397 Surface Engineering- Professional Elective
CME397 Surface Engineering- Professional Elective
 
CFD Simulation of By-pass Flow in a HRSG module by R&R Consult.pptx
CFD Simulation of By-pass Flow in a HRSG module by R&R Consult.pptxCFD Simulation of By-pass Flow in a HRSG module by R&R Consult.pptx
CFD Simulation of By-pass Flow in a HRSG module by R&R Consult.pptx
 
在线办理(ANU毕业证书)澳洲国立大学毕业证录取通知书一模一样
在线办理(ANU毕业证书)澳洲国立大学毕业证录取通知书一模一样在线办理(ANU毕业证书)澳洲国立大学毕业证录取通知书一模一样
在线办理(ANU毕业证书)澳洲国立大学毕业证录取通知书一模一样
 
Nuclear Power Economics and Structuring 2024
Nuclear Power Economics and Structuring 2024Nuclear Power Economics and Structuring 2024
Nuclear Power Economics and Structuring 2024
 
Governing Equations for Fundamental Aerodynamics_Anderson2010.pdf
Governing Equations for Fundamental Aerodynamics_Anderson2010.pdfGoverning Equations for Fundamental Aerodynamics_Anderson2010.pdf
Governing Equations for Fundamental Aerodynamics_Anderson2010.pdf
 
Architectural Portfolio Sean Lockwood
Architectural Portfolio Sean LockwoodArchitectural Portfolio Sean Lockwood
Architectural Portfolio Sean Lockwood
 
Hybrid optimization of pumped hydro system and solar- Engr. Abdul-Azeez.pdf
Hybrid optimization of pumped hydro system and solar- Engr. Abdul-Azeez.pdfHybrid optimization of pumped hydro system and solar- Engr. Abdul-Azeez.pdf
Hybrid optimization of pumped hydro system and solar- Engr. Abdul-Azeez.pdf
 
Water Industry Process Automation and Control Monthly - May 2024.pdf
Water Industry Process Automation and Control Monthly - May 2024.pdfWater Industry Process Automation and Control Monthly - May 2024.pdf
Water Industry Process Automation and Control Monthly - May 2024.pdf
 
Immunizing Image Classifiers Against Localized Adversary Attacks
Immunizing Image Classifiers Against Localized Adversary AttacksImmunizing Image Classifiers Against Localized Adversary Attacks
Immunizing Image Classifiers Against Localized Adversary Attacks
 
AP LAB PPT.pdf ap lab ppt no title specific
AP LAB PPT.pdf ap lab ppt no title specificAP LAB PPT.pdf ap lab ppt no title specific
AP LAB PPT.pdf ap lab ppt no title specific
 
一比一原版(UofT毕业证)多伦多大学毕业证成绩单如何办理
一比一原版(UofT毕业证)多伦多大学毕业证成绩单如何办理一比一原版(UofT毕业证)多伦多大学毕业证成绩单如何办理
一比一原版(UofT毕业证)多伦多大学毕业证成绩单如何办理
 
ASME IX(9) 2007 Full Version .pdf
ASME IX(9)  2007 Full Version       .pdfASME IX(9)  2007 Full Version       .pdf
ASME IX(9) 2007 Full Version .pdf
 

Equipment reliability l1

  • 3. 3 OBJECTIVESOBJECTIVES MINDSETMINDSET  The Business Case for improving equipment performance in today’s environment  Reliability’s relationship to equipment performance  Importance of production’s sponsorship/ownership  Change in culture: From reacting to failure to preventing failure CAPABILITYCAPABILITY  Introduce key reliability concepts and terms  Begin the understanding of how these reliability concepts relate to improving equipment performance  Awareness of reliability resources at Whirlpool PROCESSPROCESS  Offer processes to apply equipment reliability methods and tools INTRODUCTION TO EQUIPMENT RELIABILITYINTRODUCTION TO EQUIPMENT RELIABILITY
  • 4. 4 EQUIPMENT RELIABILITY TRAINING SERIESEQUIPMENT RELIABILITY TRAINING SERIES Awareness • Importance of high levels of equipment performance • How to measure equipment uptime/downtime • Key reliability tools and how to apply to improving equipment performance Novice Practitioner Practitioner• A series of 4hr to 8hr training modules on selected reliability tools & methods Reliability Application Engineer • Local process understanding • Quantifies and reduces equipment losses • Applies reliability tools/methods Reliability Consultant Level 4 Level 5 Level 3 Level 2 Level 1 • Provides high level reliability & methods skills • How to set up business driven equipment performance goals • How to link performance goals to improvements in loss categories • Tools & methods to reduce losses (including maintenance strategies) • Development and achievement of reliability requirements in Design
  • 5. 5 EQUIPMENT RELIABILITYEQUIPMENT RELIABILITY TRAINING SERIESTRAINING SERIES Reliability Awareness (4 Hrs) - at the completion of this training level, the person should be able to describe the following: Equipment Performance 1) The importance of high levels of equipment performance and lower (including maintenance) costs in today’s competitive marketplace 2) The key factors that affect equipment performance (5M’s) 3) Downtime categories and opportunities for improvement 4) The key elements of high level equipment performance measures (Efficiency, OEE and TEEP) 5) Can perform a simple OEE / TEEP calculation RAM Concepts/Reliability Basics 6) The concepts Reliability, Availability and Maintainability (RAM) and how each of these impacts equipment performance 7) The importance of defining function and failure 8) The difference between a repairable and a non-repairable system and the associated measures (MTTF, MTBF and MTTR) 9) The relationship between equipment reliability and process reliability 10) Conceptually define FMEA and FTA their applications
  • 6. 6 EQUIPMENT RELIABILITYEQUIPMENT RELIABILITY TRAINING SERIESTRAINING SERIES Reliability Elements in the Asset Life Cycle 11) How, at a conceptual; level, reliability can be integrated into all phases of the Asset Life Cycle (the “7 Rights”) in order to achieve predictable and high levels of equipment reliability. Specifically, can describe the key reliability considerations in the equipment design, purchasing and maintenance phases of the Asset Life Cycle. 12) The important role that operational and maintenance strategies play in improving the reliability of existing equipment. How to optimize maintenance tasks to reduce costs and still be effective. Resources 13) Aware of the key support resources for reliability tools, methods and diagnostic technologies. Reliability Awareness (4 Hrs) - cont’d.
  • 8. 8 PERFORMANCE OBJECTIVES Equipment Performance Record, Categorize and Reduce Equipment Downtime Losses Understand and encourage the use of OEE and TEEP Charts
  • 9. 9  Improvement Thrusts: • Extreme Price Competition • Forced to make substantial Price Reductions (lowers Profit $)  The Need for Change • Reduce Costs • Improve Equipment Performance “30 / 30” TEEP INTRODUCTION TO EQUIPMENT RELIABILITYINTRODUCTION TO EQUIPMENT RELIABILITY
  • 10. 10 EQUIPMENT PERFORMANCE Range and Average of Key Equipment OverallEquipmentEffectiveness(OEE) 100% 85% 75% 65% 55% 45% 35% OEE = Good Product Made Expected Product World Class OEE Avg. 1992 1993 1994 1995 1996 1997 1998
  • 11. 11 EQUIPMENT PERFORMANCEEQUIPMENT PERFORMANCE OPPORTUNITIESOPPORTUNITIES Reduced wastes Reduced cycle time Reduced inventory Reduced product variability More efficient use of direct labor Reduced maintenance costs - type of work (less reactive) - extent of work (reduce PM’s) Reduced schedule disruption Increased EVA Reduced capital expenditures InIn FocusFocus - 6 Sigma- 6 Sigma - 10X- 10X - AOP Goals- AOP Goals - Lean Manufacturing- Lean Manufacturing NeedsNeeds moremore focusfocus • Reduce Costs • Utilize the “hidden factory” -- Increase Uptime of existing equipment
  • 12. 12 INTRODUCTION TO EQUIPMENT RELIABILITYINTRODUCTION TO EQUIPMENT RELIABILITY Equipment Performance Equipment Reliability Exercise
  • 13. 13 INTRODUCTION TO EQUIPMENT RELIABILITYINTRODUCTION TO EQUIPMENT RELIABILITY Equipment Performance MethodsMaterials Machines Measures Manpower Reliability Maintainability — Develop — Design — Purchase — Fabricate — Install — Operate — Maintain — Store (How well equipment performs) The “Rights of Reliability:
  • 14. 14 PARTNERSHIP WITH OPERATIONSPARTNERSHIP WITH OPERATIONS REDUCING COSTS IS A SHARED GOAL - Reducing Operations Cost - Reducing Maintenance Costs (but not sub-optimize) HIGH LEVELS OF EQUIPMENT PERFORMANCE - Important to Operation - Important to Capital Projects Team - Important to Maintenance OPERATIONS MUST LEAD IMPROVEMENT EFFORT - Operation “Owns” Asset - Operations Sets Performance Expectation - Operation has “most” control of improvement opportunities 25% of Downtime 75% of Downtime Maintenance Manufacturing
  • 15. 15 • Measure • Measure • Measure THREE MOST IMPORTANT FACTORS INTHREE MOST IMPORTANT FACTORS IN IMPROVING PERFORMANCEIMPROVING PERFORMANCE
  • 16. 16 EQUIPMENT/PROCESS EFFECTIVENESS MEASURESEQUIPMENT/PROCESS EFFECTIVENESS MEASURES Planned Losses Operational Losses Good ProductionSpeed Losses Quality Losses A B C D E (Total Time) (Scheduled Time) (Up Time) ( (O E E T E PEverallOEE quipment ffectiveness) = E/B TEEP otal ffective quipment erformance) = E/A • Weekends/Holidays • Shifts not worked • No Schedule • Breaks/Lunch • Meetings/Tours • Training • General Cleaning • PM’s • Capital Improvement • Development • Set-ups/Change-overs • No Personnel • No Material • Equipment Breakdown • Jams and Minor Stoppages • Support System Failures • Reduction from expected speed • Product not meeting First Pass Yield Specs, which includes: - Held Product - Defects/Waste/Scrap - Machine Rejects - Quality Samples - Rework • First Pass Yield (Product made right the first time)
  • 17. 17 PERFORMANCE MEASURESPERFORMANCE MEASURES OEE is a measure of the amount of good product produced compared to the amount of product that could have been produced if the manufacturing system operated perfectly (no downtime, operating at its expected speed and all product conforming to specification) for its entire scheduled time. OEE = Scheduled Production Good Product Made (Units: Time (hrs) or Production Quantities) World Class OEE = 85%*
  • 18. 18 PERFORMANCE MEASURESPERFORMANCE MEASURES TEEP is a measure of the amount of good product produced compared to the amount of product that could have been produced if the manufacturing system operated perfectly (no downtime, operating at its expected speed and all product conforming to specification) for the total amount of time (calendar time) over the time period under consideration. TEEP = Total Time Scheduled Time (Units: Time (hrs) or Production Quantities) Also, TEEP can be considered as follows: TEEP = OEE x Utilization (where Utilization = Total Time or Total Expected Units Good Product Made )
  • 19. 19 OEE / TEEPOEE / TEEP OEE = Efficiency X Performance Rate X Quality Actual Rate Expected Rate Good Product Made Total Product Made XXXXOEE = Uptime Scheduled Time World Class Equipment Performance (Performance Rate) (Quality) XXXXOEE = (Efficiency) 95%90% 99% = 85% OEE / TEEP can also be expressed in terms of a formula as follows: TEEP = Scheduled Time Total Time XX Good Product Time Scheduled Time TEEP = OEE XX Utilization
  • 20. 20 EQUIPMENT RELIABILITY TRAINING SERIESEQUIPMENT RELIABILITY TRAINING SERIES The Real Value of measuring OEE/TEEP: •Understand causes of equipment downtime so that improvements can be made •OEE/TEEP is also as valuable as an Equipment Performance Measure
  • 21. 21 OEE / TEEPOEE / TEEP EXAMPLEEXAMPLE Time interval: 24 hrs. Shift worked: A & B (C not worked - no demand) Operational downtime Losses: 1.5 hrs equipment (mechanical) breakdown 1.3 hrs no material 1.2 hrs set up 4.0 hrs total loss 1 hr PM during A shift Speed loss: 5% Quality loss: 3% Determine: - categorize machine time losses - determine amount of time machine was at “standard” - calculate OEE & TEEP Total Time 24 hrs Solution: Planned Loss Operational Loss Speed Loss Quality Loss Good Product Time 8 hr. C Shift 1 hr. PM 9 hrs 4 hrs Uptime (Time Basis) Therefore Uptime = 11 hrs (by difference)
  • 22. 22 OEE / TEEPOEE / TEEP EXAMPLEEXAMPLE OEE = Good Product / Scheduled = 10.1 hrs / 15 hrs = 67% TEEP = Good Product / Total Time = 10.1 hrs / 24 hrs = 42% Speed Losses = Uptime x Speed Loss Rate = 11 hrs x (0.05) = 0.6 hrs Quality Losses = (Uptime - Speed Loss) x Quality Loss Rate = (11 hrs - 0.6 hrs) x (0.03) = 0.312 hrs Planned Loss Operational Loss Speed Loss Quality Loss Good Product Time 9 hrs 4 hrs 0.6 hrs 0.3 hrs ? hrs Total Time 24 hrs 10.1 hrsGood Product Time (by difference) = Scheduled Time Scheduled Time = Total Time - Planned Loss Scheduled Time = 24 hrs - 9 hrs = 15 hrs
  • 23. 23 EQUIPMENT PERFORMANCE MEASURESEQUIPMENT PERFORMANCE MEASURES Listed Increasing Levels of SophisticationListed Increasing Levels of Sophistication I. II. III. IV. Use measures Use measures to drive improvement - awareness of amount of time equipment is not “scheduled” Use Performance Measures based on both Scheduled Time (OEE) and Total Time TEEP - baseline - reasons for downtime - improvement goals - use common definitions of uptime / downtime for benchmarking - use OEE as high level measure of equipment performance. Compare to World Class. Use consistent measures based on scheduled time
  • 24. 24 Total Time Interval 1 Wk. (7 days;168hrs) Scheduled Production Time 100 Hrs. Operational Downtime Material Problems 6 Hrs. Product Change Overs 6 Hrs. Equipment Related Downtime 4 Hrs. Operator Training Issues 4 Hrs. 20 Hrs. Planned Production Rate 10 Parts/Hr. Actual Output 720 Parts Good Parts (Meeting Specs) 700 Parts Calculate: Performance Measure Example Assume: - All downtime has been identified - Actual Speed Rate is less than expected - Losses ( in hrs) Planned, Operational, Speed and Quality - Good Product Time (in hrs): Good Quality & At Expected Speed - OEE - Teep
  • 25. 25 EQUIPMENT RELIABILITY TRAINING SERIESEQUIPMENT RELIABILITY TRAINING SERIES Planned Loss Operational Loss Speed Loss Quality Loss Good Product Time ___ hrs ___ hrs ___ hrs ___ hrs ___ hrs Total time = Scheduled Time = Uptime =
  • 26. 26 EQUIPMENT RELIABILITY TRAINING SERIESEQUIPMENT RELIABILITY TRAINING SERIES Planned Loss Operational Loss Speed Loss Quality Loss Good Product Time 68 hrs 20 hrs hrs hrs ? hrs Total time = Scheduled Time = Uptime = SOLUTION - data is given - obtained by difference 168 hrs 100 hrs 80 hrs Speed Loss: Parts @ expected speed = 80 hrs X 10 parts = 800 parts hrActual parts = 720 parts Speed Loss parts lost expected speed == 800 parts - 720 parts 10 parts/hr = 8 hrs
  • 27. 27 EQUIPMENT RELIABILITY TRAINING SERIESEQUIPMENT RELIABILITY TRAINING SERIES Quality Loss: = parts lost expected speed = 2 hrs (Time) Planned Loss Operational Loss Speed Loss Quality Loss Good Product Time 68 hrs 20 hrs 8 hrs 2 hrs 70 hrs OEE = Good Product Time Scheduled Time = 70 hrs 100 hrs = 70 % TEEP = Good Product Time Total Time = 70 hrs 168 hrs = 42 % Also OEE = Good Parts Total Scheduled Time = 700 parts 100 hrs x 10 parts = 70 % hr 720 parts made - 700 parts good 10 parts/hr
  • 28. 28 Record, Categorize and Reduce Equipment Downtime Losses Understand and encourage the use of OEE and TEEP Charts PERFORMANCE OBJECTIVES Equipment Performance
  • 30. 30 • Describe the three components of RAM • Record the “right” failure data – run time to failure – machine conditions at failure – by category • Use data to analyze failures – charts – measures (MTBF, MTTR, OEE, Availability) Performance ExpectationsPerformance Expectations RAM Definitions, Measures & Tools
  • 31. 31David Garvin, Managing Quality, Free Press, 1988 Quality -Quality - A New DefinitionA New Definition The QUALITY of some subject (i.e. of some product or process) means the extent to which the subject satisfies the expectations and needs of the users in operational environments over a period of time.
  • 32. 32 Reliability =Reliability = Quality over TimeQuality over Time Reliability is the time dimension to quality. Product or processes that meet or exceed customer expectations, not just when they are new but over a period of time, are generally considered to have high reliability. Time may be some other measure than hours like footage, cycles, indexes, images, copies or actuations.
  • 33. 33 What is Reliability?What is Reliability? When we speak of the reliability of a product or process we are using an umbrella term which includes the concepts of: Reliability Maintainability Availability Manufacturability Safety Serviceability other ....ilities
  • 34. 34 Components of ReliabilityComponents of Reliability RELIABILITY … How long will it last? MAINTAINABILITY … How long does it take to repair? AVAILABILITY … Is it capable of running when I need it? SAFETY … Could someone get hurt?
  • 35. 35 Reliability is Probability ofReliability is Probability of SuccessSuccess Reliability is the probability that an item will perform its intended function adequately for a specified period of time under the specified operating conditions. ⇒Probability - A number between 0 and 1 ⇒Intended Function - What is it supposed to do? ⇒Time - For how long: 24x7x365 or many short runs? ⇒Operating Conditions - Where is it going to be installed?
  • 36. 36 What is Failure?What is Failure? A product or process is said to have failed when it no longer performs its intended function adequately. Consider a fuse. Its job is to protect a circuit from overloading. If a fuse blows because there was an over-current spike, the fuse did its job. However, if there was a current spike and the fuse did not blow and the wiring caught fire, then the fuse failed! Therefore, function needs to be clearly defined.
  • 37. 37 ReliabilityReliability Reliability is the probability that an item will perform its intended function adequately for a specified period of time under the specified operating conditions. Example A packaging line is designed to fill 1000 multipacks of film without a failure. This constitutes one run. One hundred runs were initiated and 90 runs were completed successfully. The packaging line reliability can be estimated by R(t=1K) = = = 0.9 # of Successful Trials Total Number of Trials 90 100
  • 38. 38 MaintainabilityMaintainability Maintainability is the probability that an item can be restored to satisfactory operating condition within a specified period of time under stated conditions by personnel having prescribed skill levels, resources and procedures. Example A piece of equipment was designed so that all failures could be fixed in less than 30 minutes by entry level techs. Reviewing the most recent 100 service events, 15 of then took longer than 30 minutes to remedy. M(t=30) = = = 0.85 # of Successful Events Total Number of Events 85 100
  • 39. 39 AvailabilityAvailability Availability is the probability that an item, when used under given conditions, will perform satisfactorily when called upon. Example Nine times out of ten, when I walk up to the copier at 8AM, the copier is ready to process my job. It is not in STANDBY and does not have a sign stating that service has been called. A(t= 8) = = = 0.9 # of Successful Trials Total Number of Trials 9 10
  • 40. 40 Repairable and Nonrepairable DevicesRepairable and Nonrepairable Devices NONREPAIRABLE • One-shot device • If it breaks, throw it out. • Examples – Bearings – Light Bulbs – Electronic Components • Replacement strategies REPAIRABLE • If it breaks, fix it. • Employ preventive and predictive maintenance strategies. • Examples – Spoolers – Packaging equipment – Pumps – Knife sets Note: The distinction between repairable and nonrepairable devices is critical to how we collect and analyze data.
  • 41. 41 How is Reliability Measured?How is Reliability Measured? Number of Failures Life Cycle Cost Service/Repair Costs Reliability (Probability of Success) Availability Costs of Downtime, Waste B10, B50 Life Failure Rate MTTF (Mean Time To Failure) MTBF (Mean Time Between Failures) MTTR (Mean Time to Repair/Restore) OEE (Overall Equipment Effectiveness) TEEP (Total Effective Equipment Performance)
  • 42. 42 ReliabilityReliability Reliability is the probability that an item will perform its intended function adequately for a specified period of time under the specified operating conditions. Example A packaging line is designed to fill 1000 multipacks of film without a failure. This constitutes one run. One hundred runs were initiated and 90 runs were completed successfully. The packaging line reliability can be estimated by R(t=1K) = = = 0.9 # of Successful Trials Total Number of Trials 90 100 MEASURE S
  • 43. 43 Mean Time To FailureMean Time To Failure Mean Time To Failure (MTTF) applies to nonrepairable items. MTTF = Sum Failure Times Number of Failures Example: Run times to failure are 10,7,26,20,21,53,32,24,15,19 MTTF=227/10=22.7 hr Histogram of Failure Tim es 0.0 1.0 2.0 3.0 5 10 15 20 25 30 35 40 45 50 55 Time NumberofFailures MEASURE S H 10 20 30 40 50
  • 44. 44 What Data Should BeWhat Data Should Be Collected?Collected? 1. 2. 3. 4. 5. 6. 7. 8. 9. 10. MEASURE S
  • 45. 45 Repairable SystemsRepairable Systems NEUTRAL/SAD/HAPPY SYSTEMS The order of the failure times is important. 32 43 51 65 17715 27 177 65 51 43 32 27 15 51 43 27 177 15 65 32 MEASURE S
  • 46. 46 Mean Time Between FailuresMean Time Between Failures For Repairable Items, the arrival order of the failure times is important MEAN TIME BETWEEN FAILURES applies to “neutral” repairable items. Sum Inter-arrival Times Number of Failures MTBF = For example: 51+43+27+177+15+65+32 7 MTBF = = 410 7 = 58.6 51 43 27 177 15 65 32 MEASURE S
  • 47. 47 For Repairable Equipment, WhatFor Repairable Equipment, What Data Should Be Collected?Data Should Be Collected? 1. Event Date 2. Clock Time 3. Machine clocks, meters, counters 4. Failure Mode What was seen/smelled/heard? 5. Machine Parameters What was the machine doing prior to the event? 6. Time to repair or restore Did the repair go smoothly? 7. What adjustments were made? 8. Parts used Were the parts broken? Were the replacements new or rebuilt? 9. Root cause of the stoppage What actually happened? 10. Failure Mechanism MEASURE S
  • 48. 48 Mean Time To RepairMean Time To Repair Mean Time To Repair (MTTR) applies to time actually spent performing a repair. MTTR = Sum Repair Times Number of Repairs Example: Repair times in hours for 10 cellular phones: 0.1, 0.6, 1.3, .05, 0.4, 1.1, 0.15, 0.1, 0.3, 0.2 MTTR=4.3/10=.43 hours Histogram of Repair Times 0 1 2 3 4 5 6 0.25 0.5 0.75 1 1.25 1.5 Time NumberofRepairs MEASURE S .25 .50 .75 1.00 1.25 1.50
  • 49. 49 What Additional DataWhat Additional Data Should Be Collected ForShould Be Collected For Repairs?Repairs? 1. 2. 3. 4. 5. MEASURE S
  • 50. 50 AvailabilityAvailability Availability is the proportion of the the time the system is operating. Over a long period of time, AVAILABILITY is Uptime MTBF Uptime + Downtime MTBF + MTTR AVAILABILITY combines RELIABILITY AND MAINTAINABILITY. Note: This is the classical definition of Availability which excludes changeover time, scheduled maintenance and idle time. MEASURE S UP UP UP UP DOWN DOWN DOWN0 T A = =
  • 51. 51 Reliability Measures SummaryReliability Measures Summary There are a variety of RAM measures. One number, for example the MTBF, might not be adequate. For repairable systems, keep the data in time order and generate a time line plot. For nonrepairable data, a histogram does a good job of displaying the variability in the data.
  • 52. 52 Intent of Reliability MethodsIntent of Reliability Methods To prevent failures from occurring To mitigate the effect of a failure To restore the system to a working state quickly if it did fail and, additionally, to measure and predict failure
  • 53. 53 Methods to Prevent FailuresMethods to Prevent Failures The best time to think about failure prevention is in the development and design phases of a project.  RAM concepts in the project requirements and specification documents  Robust Design  Load/Strength Analysis  Failure Mode, Effects & Criticality Analysis (FMECA)  Fault Tree Analysis (FTA)  Part Selection and Derating  Flow Dynamics Analysis
  • 54. 54 • Describe the three components of RAM • Record the “right” failure data – run time to failure –machine conditions at failure –by category • Use data to analyze failures – charts –measures (MTBF, MTTR, OEE, Availability) Performance ExpectationsPerformance Expectations RAM Definitions, Measures & Tools
  • 56. 56 Reliability: New Equipment Recognize the “Design for Reliability” Process Ensure reliability REQUIREMENTS exist. Base decisions on Life Cycle Costing. Include reliability SPECIFICATIONS in Requests for Quotes and Purchase Orders. Conduct formal reliability design reviews based upon FMECA guidelines. Enlist support from company experts. Request R.A.M information from vendors. Start involving cross functional team with new hardware early in the develop/design process. Performance ExpectationsPerformance Expectations
  • 57. 57 ASSET LIFE CYCLEASSET LIFE CYCLE Project Launch Concept, Development and Design Final Engineering Purchase Fabricate Install Startup Commission Accreditation Operate and Maintain Decommission “PROJECT LIFE” LaunchConcept Design Execution Commissioning Utilization REMEMBER “PROJECT LIFE” IS NOT ASSET LIFE. THINK BEYOND PROJECT LIFE! End of Useful Life

Editor's Notes

  1. One of the original definitions of Quality was conformance to specification. David Garvin - Professor at Harvard Business School His definition of quality goes beyond that put forth by Deming/Juran. Has the concept of performance past time zero. Change in definition parallels what has happened in the quality community: moved from QC (quality control of the product) to QA (quality assurance of the process)
  2. Quality is performance at Time 0 Take it out of the box, plug it in, and turn the switch to ON. Does the motor start running? Reliability talks about the likelihood of it continuing to run once it started. Metrics: Electronics - Power-on Hours Mechanical Parts - Starts/Stops, cycles, indexes Continuous Processes - Footage, gallons
  3. Other potential … ilities are Testability Diagnosability Flexibility We’ll spend a few minutes giving some basic definitions and examples of the first three terms and then will discuss some commonly used measures.
  4. Rather than saying Reliability, Availability and Maintainability every time, we will use the acronym RAM. Think of our RAM with the big curly horns as an animal that is accustomed to butting heads with obstacles but will eventually be able to charge through the hole it created.
  5. PROBABILITY - How many of you have ever been to a casino or bought a lottery ticket? What was your chance of winning? Somewhere between 0 and 1 and closer to 0 than to 1. - How likely is it that you could run 1 mile in 4 minutes or walk 1 mile in 1 hour? INTENDED FUNCTION ADEQUATELY (defined by situation) - Need to state clearly what equipment is intended to do. - What is the function of a screw driver? To turn a screw, to open a paint can, to prop open a window? - Even if you want to turn a screw, need to say either Phillips or straight, what size head, handle length, magnetic or not,… TIME What is the mission length: 24x7x365 or 8x5x50? Car travel: Drive to 5 miles in Spring or to 2000m in winter? OPERATING CONDITIONS Climate controlled room or ambient? EMI shielding? Is it fixed or portable?
  6. The idea of defining a FAILURE in the context of NOT performing the STATED FUNCTION is a critical concept. How can we say something is doing or not doing a good job if the performance criteria have not been stated clearly, unambiguously?
  7. INTENDED FUNCTION: To load rolls of film into a carton called a multipack MISSION LENGTH: 1000 multipacks = 1 run If the mission length were less than 1000 packs, then the reliability might have been higher than 90%. FAILURE: No equipment breakage, not cause damage to carton or contents. However, people rarely talk about a product or process being 90% or 80 % reliable after some amount of usage. They use some other metrics which we will discuss later.
  8. Key words are PROBABILITY A number between 0 and 1 SATISFACTORY OPERATING CONDITION Again, need a definition of what is satisfactory SPECIFIED PERIOD OF TIME What is the downtime standard against which you are checking? STATED CONDITIONS Are they working on scaffolding, outdoors in winter with gloves…? PRESCRIBED SKILL LEVELS, RESOURCES, PROCEDURES What training do the people have, what tools will they have and where will they be located, what guidelines or procedures will they be able to use?
  9. Key words are PROBABILITY A number between 0 and 1 GIVEN CONDITIONS Excludes abuse or unusual demands PERFORM SATISFACTORILY What is the standard against which satisfactory performance is compared?
  10. Not all potentially repairable items are repaired. If the cost of repair is close to the cost of a new item, it is usually scrapped. Circuit boards costing less than $400 are thrown away. So they become nonrepairable by definition. The distinction between repairable and nonrepairable really becomes important when we analyze data and report performance using a reliability measure
  11. Note: Reliability = RAM in its umbrella sense Life Cycle Cost: The total cost of a resource from inception through decommissioning. Pay me now or pay me later Service/Repair Costs: Might also include the cost of downtime and waste B10 Life: 10th percentile of failure of the life distribution B50 Life: 50th percentile of failure or the median life What is the difference between MTTF and MTBF? Not just a spelling error Goes back to previous discussion of repairable and nonrepairable devices MTTF is used for nonrepairable items and time to first failure of repairable items. Repair: Active wrench time, just doing the fixing Restore: Travel, diagnose, fix, certify, enter in database
  12. INTENDED FUNCTION: To load rolls of film into a carton called a multipack MISSION LENGTH: 1000 multipacks = 1 run If the mission length were less than 1000 packs, then the reliability might have been higher than 90%. However, people rarely talk about a product or process being 90% or 80 % reliable after some amount of usage. They use some other metrics which we will discuss later.
  13. Assume the data are from a small fan, called a muffin fan, that is used for cooling in many computers. You can take the data, put it into your calculator or a computer program, and get the mean or arithmetic average = 22.7 hours. Highly recommend that you PLOT the data as a histogram. A histogram is an excellent tool for showing the spread of the data (fan life). If your goal is to have a fan that will survive more that 40 hours of use, then there is much to be learned by investigating why one fan of ten lasted for more than 50 hours. 90% failed on or before 40 seconds, 10% survived >40 sec What additional data should you collect to aid in your investigation?
  14. Situation: Too many fans are failing after as short amount of time. Your job is to improve the field life. Solicit input from people in class what additional data should be collected. Like a toe-tag on a body in a detective story Examples are: Duty Cycle Environment: Temperature, rH, dirt Stresses Manufacturer Batch within a manufacturer What was happening with the system when the item failed
  15. Each line represents the service histories of three machines since their installation. The numbers on the lines are the run times and the vertical line indicates a failure. The downtime is not shown. If you were to draw a face in the box which represents the state of the system now, would you draw a Happy face, a Sad face or a Neutral face and why? For the Happy system, when would you predict the next failure to be? (Answer: Greater than 177 hours). For the Sad system, when would you predict the next failure to be? (Answer: Less than 15 hours) What about the Neutral System? If you look closely at the data on each line, what do you observe? (Answer: The numbers are all the same, just reordered. Average is less than 60 hours). If Happy, underestimate current performance if use the average. Opposite with Sad.
  16. Mean Time Between Failures can always be calculated regardless of whether the system is happy, sad or neutral. It is the interpretation of the current status of the equipment that is incorrect: Underestimate MTBF if Happy Overestimate MTBF if Sad
  17. Many of the items suggested for the nonrepairable items are valid for repairable but additional data are needed so that the events are kept in chronological order. Repairable items should be identified uniquely so that they can be tracked from the manufacturing line to the repair shop to inventory and back to possibly a different manufacturing line. Need to understand if the repair was done well. Kodak is authorized repairshop for pumps, motors How many times can an item be repaired before it is no longer usable?
  18. Assume the data are from the repair of cellular phones. You can take the data, put it into your calculator or a computer program, and get the mean or arithmetic average time to repair = .43 hours. Highly recommend that you PLOT the data as a histogram. A histogram is an excellent tool for showing the spread of the data (repair time). If your goal is to do all repairs in less than 1.0 hour, then need to investigate why 2 repairs took longer. What additional data should you collect to aid in your investigation?
  19. Solicit input from people in class of what additional data should be collected for Repairs. Examples are: What actually was done to the phone - parts replacement or an adjustment? Some types of repairs take longer than others. Were the phones identical - same vendor, same model? Some models are easier to disassemble and troubleshoot than others Who did the repair - person’s level of experience? How many times has the item been repaired before this? What was the date and time of the repair? If it is 3 AM, repair person might not be awake.
  20. Border wars can be fought over the definition of AVAILABILITY. The Inherent Availability is the best the system can be and uses only the sum of the actual running times divided by the sum of the running times and downtime associated with active repair. The downtime if for active wrench time. It does not include thelogistics delay time of getting a person there, diagnosing the problem, getting the parts/tools, restoring the system. Downtime does not include other non-repair stoppages like product changeovers and idle time. Operational Availability takes some of these issues into account but is outside the scope of this discussion.
  21. Quick summary of material which started with the Ruler. No real need for discussion.
  22. The Reliability Professional’s first job is to prevent failures from occurring. A list of methods to attempt to prevent failures is on the next slide Ideally, anticipate what could go wrong and change the design so that the event cannot occur. Given that all failures cannot be prevented, try to have the item fail soft rather than hard. Have a drive system coast to a stop rather than to a screeching halt. Use condition-based indicators to warn of impending problems. If the item is in a failed state, have diagnostics built-in and troubleshooting procedures written so that the repair staff can do their work efficiently.
  23. Methods to Prevent Failures should include anything involved in the up front planning for a project that has a reliability and maintainability nuance. RAM Specs should be a part of the overall project specification . They should reflect the needs of the client, operations and maintenance. Robust Design - Designing a process so that it is insensitive to noise variables Load/Strength Analysis - Strength of materials under repeated loads FMECA - A systematic approach for looking at potential failure events and their effects with the intent of lessening their likelihood of occurrence and lessening their effect if they do occur - Bottom Up Fault Tree Analysis - Starts with and undesired Top Event and asks what events singly or in combination could have caused it to occur Part Selection and Derating - Recommended parts based on prior experience, using motors at lesser stresses to extend their life Flow Dynamics Analysis - How fluids flow through pipes and couplings, how cooling air should be ducted through equipment
  24. New Equipment Reliability This part of presentation deals with how do we build reliability into the new equipment we’re designing, buying, integrating, etc This could apply to new equipment or upgrades. (If your area has a capital budget review capital budget numbers with group) This diagram is probably representative of the way project managers/engineers/designers look at projects -- with utilization showing up as just a small part of the picture. But within utilization is usually the majority of the costs. This needs to be considered on a project. Need to look beyond “Project Life” as a goal for engineering & design community. Importance of identifying longterm ongoing costs which will be incurred during the utilization phase. These long term costs can be dramatically affected (positively and negatively) by what you do in the design, fabrication, purchasing, installation and commissioning. What you do in design directly affects Life Cycle costs. Lowest purchase price is not always the best solution. Need to identify life cycle cost, the total cost of an asset during its life. Goal of corporation is lowest Life Cycle Cost and highest Net Present Value. Example - need to appreciate intended use and life of product. Example used was different grades of quality of tools. Highest quality and cost --SNAP-ON TOOLS Mid range quality and cost -- CRAFTSMAN Low quality and cost -- K MART Special Which tools would you use if worked on Bobby Hamilton’s pit crew? Which tools would you use if were a backyard handyman? Which tools woul you use if were going to use tools only once?