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What Food Manufacturers Need to Know About Measuring OEE
Presented By: Daniel Campos, London Consulting Group
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TRAINING TOPIC
What Food Manufacturers Need to Know
About Measuring OEE
Presented By: Daniel Campos,
Managing Partner, London Consulting Group
• 15+ years of experience serving Fortune-
500 companies and family-owned business
in the USA, Mexico and the Americas
• Expert in food manufacturing
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business
shapeyour
business
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business
Over 25 years
of experience
Founded in 1991, operating in the
Americas, the Caribbean and Spain
through 11 regional offices
North America
Central America
South America
Caribbean
Spain
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business
OurClientsUSA
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business
OurExperienceSolutions
Strategic Planning Marketing and Sales People & Organization
Supply Chain Management Operations Information Technology
Back Office / Shared Services Operational Due Diligence Certifications
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business
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business
OEE – What is it and how does it affect me?
The effects of Industry 4.0 in OEE measurements
Bringing it all together to impact the bottom line
Common pitfalls to avoid
Topicstoday
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business
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business
7 Ways to influence the key drivers of OEE & uncover hidden dollars in your plant
The secret to pre-op inspections that helps avert significant performance bottlenecks
Tips to measure OEE the right way, including a peek at the formulas today’s leading food
manufacturers are using
How to turn OEE into your biggest competitive advantage
Technologies that easily and accurately measure OEE
Goalsfortoday
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business
SoWhatisOEE,Anyway?
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business
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business
OEE – Overall Equipment Effectiveness
Measure of achievement of the machine at standard
Think of it as the breakdown of reasons why your equipment is
underperforming – either because of stoppages, slow rates of processing or
incidence of rejects.
For friends: Availability*performance*quality
It’sabouttime!
(andrateandyield)
OEE–BasicConcepts
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business
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business
Production line works 8-hour shift, machine makes 50 units/hr
Let’sexploreaneasy
example
OEE–BasicConcepts
8 hrs x 50 units/hr = 400 units per shift
8:00am 4:00pm
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business
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business
Production line works 8-hour shift, machine makes 50 units/hr
Let’sexploreaneasy
example
OEE–BasicConcepts
8 hrs x 50 units/hr = 400 units per shift
8:00am 4:00pm
7 hrs x 50 units/hr = 350 units per shift
1 hr set
up
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business
shapeyour
business
Production line works 8-hour shift, machine makes 50 units/hr
Let’sexploreaneasy
example
OEE–BasicConcepts
8 hrs x 50 units/hr = 400 units per shift
8:00am 4:00pm
Actually ran at 7 hrs x 40 units/hr = 280 units per shift
1 hr set
up
Of the expected 280 units the warehouse received 250
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business
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business
Pretty obvious that we received 250 vs 400 expected… 😖
Whathappenedhere?
OEE–BasicConcepts
8 hrs x 50 units/hr = 400 units per shift
8:00am 4:00pm
Actually ran at 7 hrs x 40 units/hr = 280 units per shift
1 hr set
up
Of the expected 280 units the warehouse received 250
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business
shapeyour
business
Pretty obvious that we received 250 vs 400 expected… 😖
We can break it down differently:
Whathappenedhere?
OEE–BasicConcepts
7/8 hrs =
87.5%
UOM = Time
Lost 1
hour
280/350
units =
80%
Missed
70 units
UOM = Units
250/280
units =
89.2%
Wasted
30 units
UOM = Units
Notice the cascade
effect that causes a
ripple effect on the
ability of the line to
perform as promised.
= 87.5 % x 80% x 89.2
= 62.5%
Full
potential
= 8 hrs x
50
units/hr
= 400
units
UOM = Units
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business
shapeyour
business
Pretty obvious that we received 250 vs 400 expected… 😖
We can break it down differently:
Whathappenedhere?
OEE–BasicConcepts
7/8 hrs =
87.5%
UOM = Time
Lost 1
hour
280/350
units =
80%
Missed
70 units
UOM = Units
250/280
units =
89.2%
Wasted
30 units
UOM = Units
Notice the cascade
effect that causes a
ripple effect on the
ability of the line to
perform as promised.
= 87.5 % x 80% x 89.2
= 62.5%
Or:
= 250 actual units / 400
promised = 62.5%
Full
potential
= 8 hrs x
50
units/hr
= 400
units
UOM = Units
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business
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business
If this line costs $1,000/day to run, each units cost the company $4.00
($1k/250 u) instead of the potential $2.85 – an increase of 40%!
Whatistheeffect?
OEE–BasicConcepts
7/8 hrs =
87.5%
UOM = Time
Lost 1
hour
280/350 u
nits =
80%
Missed
70 units
UOM = Units
250/280 u
nits =
71.4%
Wasted
30 units
UOM = Units
= OEE 62.5%
Full
potential
= 8 hrs x
50
units/hr =
400 units
UOM = Units
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business
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business
We can think of the breakdown as a way to separate the reasons behind
deviation from standard:
Takingonestepback…
OEE–BasicConcepts
Use of available
Time
Compliance to
line Speed/Rate
performance
Production of
quality
units
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business
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business
Focusonrelevantcontrols
foreachelement
OEE–BasicConcepts
Use of available
Time
Compliance to
line Speed/Rate
performance
Production of
quality
units
Breakdowns
Changeovers
Micro-stoppages
Prev. Maintenance
Feeding
Line balancing
Certain types of waste
Micro-stoppages
Optimal running conditions
Training and prev. speed adjustments
SPC
Failure mode analysis
Certain yield functions
FSMA/GFSI controls
X X
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business
Bringingitalltogether
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business
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business
Manufacturers that focus on OEE solely as a throughput metric miss an
opportunity to transform corporate culture – OEE as the foundation of
Continuous Improvement programs
The key to taking that additional step – comprehensive root-cause analysis
OEEisJusttheBeginning
SuccessfulOEEprogram
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business
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business
CompleteOEEFramework
SuccessfulOEEprogram
OEE accurately measures throughput
Comprehensive set of
OEE input parameters
I4.0-supported data
Single source (ERP?) standard
parameters
Trained operators
Daily routines based on OEE
input/output
Continuous improvement program
Real-time OEE analytics
Cost analysis supported
by OEE metrics
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business
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business
7TopCIInitiativesThat
SupportOEEElements
SuccessfulOEEprogram
OEE element Common issues Initiatives
Availability
Breakdowns
Changeovers
Micro-stoppages
Prev. Maintenance
Feeding
1. Availability improvement circles
2. Redesigned PreOp inspections
3. Directed prev. maintenance
Performance
Line balancing
Certain types of waste
Micro-stoppages
Optimal running conditions
Training and prev. speed adjustments
4. Training and daily routines
5. Real-time visibility
Quality
SPC
Failure mode analysis
Certain yield functions
FSMA/GFSI controls
6. Tighter controls on special cases
7. OEE-driven cost controls
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business
Goal: continuous analysis of OEE downtime data, implementing quick-hits based
on larger share of downtime or added cost
Process:
1. Gather data, organize top-down, focus on root-cause
2. Multidisciplinary committee that meets weekly basis. Production, maintenance,
leads and operators.
3. Explore dynamic factors: materials, scheduling, order processing, quality
inspections and holds.
1.Availabilityimprovement
committee
SuccessfulOEEprogram
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business
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business
2.PreOpinspections–settingup
forperformance
SuccessfulOEEprogram
Goal: reinforce PreOp inspections to include productivity drivers
Process:
1. Prioritize outcome of improvement committee
2. Think outside the box into those dynamic factors: material availability,
machine speed settings, line operator instructions, quality controls ready to
go, end-of-line packaging is set.
3. Think beyond the sheet of paper: automated PreOp inspections with
interlocks into the machine
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business
4.Trainingand
dailyroutines
SuccessfulOEEprogram
Goal: provide a structured day for
leads/supervisors responsible for line productivity
(PreOp for the shift)
Process:
1. Train leaders into identifying factors that
impede productivity
2. Build accumulated knowledge into a checklist
(or an hourly set of tasks)
3. Train and train again – productivity, leadership
skills, OEE math, costing, etc.
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business
5.Real-timevisibilityof
productivityforoperators
SuccessfulOEEprogram
Goal: leverage technology to provide automatic real-time productivity signals
to line operators
Process:
1. Identify the top factors that line operators can control to drive line
productivity (inspired by committee results)
2. Direct process engineers to provide signal screens at the line to encourage
real-time changes in behavior
3. Factors include: pieces/min, delays time, expected end time, and 15-min
interval display with rating of performance.
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business
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business
5.Real-timevisibilityof
productivityforoperators
SuccessfulOEEprogram
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business
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business
Different product categories require tweaking the performance goals and
formulas, including cases where:
- Process parameters drive yield (cheese)
- Process rates are very slow or produce one unit (mixed batches)
- Process of interest includes a continuous flow of liquids
6.Specialcases–fluids,one-
unitflow,criticalyield
SuccessfulOEEprogram
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business
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business
In principle, OEE requires consistent units of measure to complete the analysis of
performance and quality elements
6.Specialcases–fluids,one-
unitflow,criticalyield
SuccessfulOEEprogram
7/8 hrs =
87.5%
Availability
UOM = Time
Lost 1
hour
280/350 u
nits =
80%
Missed
70 units
Performance
UOM = Units
250/280 u
nits =
71.4%
Wasted
30 units
Quality
UOM = Units
= OEE 62.5%
Full
potential
= 8 hrs x
50
units/hr =
400 units
UOM = Units
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business
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business
In a cheese plant, gallons of milk and cream turn into pounds of curds and gallons
of whey, that are then packaged into blocks of a certain weight. We solve this
issue by switching to a mass-balance calculation and incorporate it into a
throughput analysis.
6.1Specialcases–fluids,one-
unitflow,criticalyield
SuccessfulOEEprogram
Cheese
Vat (gals) Cheese blocks (units)
Gals @ X density =
P lbs of Fat
Q lbs of SNF
R lbs of Protein
Units @ X weight and composition =
P lbs of Fat
Q lbs of SNF
R lbs of Protein
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business
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business
Since cycle times at standard can only grow longer, downtimes are added to
calculate availability, to complete the formula:
6.Specialcases–fluids,one-
unitflow,criticalyield
SuccessfulOEEprogram
7/8 hrs = 87.5
%
Availability
UOM = Time
Added
down
time
Standard
content of
components in
formula
Variance
to formula
Performance
UOM = #s of each
component used
Final balance
of # of each
component
#s lost in the
process
Quality
UOM = #s of each
component used
OEE = AvailabilityX
+/- Performance X
Quality/ YieldFull potential =
units @ weight
UOM = #s of each
component
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business
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business
In a continuous flow fluid packaging operation (e.g. Brewery, soda, etc.) where the
properties of the batch are well-known (density, brix, etc.), the variance comes
from fill level.
6.2Specialcases–fluids,one-
unitflow,criticalyield
SuccessfulOEEprogram
Beer (gals)
Bottles of varying fill levels
Gals @ known density =
Potential bottles +/-
assumed waste
Units @ standard fill =
Resulting net bottles +/- losses
Important! Flowmeter
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business
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business
Downtimes are considered normally, but quality is derived from the output vs. the
flowmeter.
6.2Specialcases–fluids,one-
unitflow,criticalyield
SuccessfulOEEprogram
7/8 hrs = 87.5
%
Availability
UOM = Time
Actual down
time
Actual fill
cycles for the
time available
Variance
to fill cycle
counts
Performance
UOM = units/hr
Final balance
of packaged
units
Fill variance
(can also be
positive)
Quality
UOM = units
OEE = AvailabilityX
Performance X
Fill factor / quality
Full potential =
units @
standard / hr
UOM = units
Mixed gals / bottle fill size
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business
MeasuringOEE
UnderModernIndustry4.0goals
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business
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business
Inter-connected production devices (sensors -> PLCs -> database)
Easy access to detailed information (database -> analytics)
Support operators with real-time analytics (analytics -> insights -> HMI)
Systems make decisions autonomously (conclusions/info-> PLCs)
KeyPrinciples
Industry4.0
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business
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business
I4.0 augments the ability of the enterprise to impact OEE outcomes
WhyisI4.0RelevantforOEE?
Industry4.0
Use of available
Time
Compliance to
line Speed/Rate
performance
Production of
quality
units
Breakdowns
Changeovers
Micro-stoppages
Prev. Maintenance
Feeding
Line balancing
Certain types of waste
Micro-stoppages
Optimal running conditions
Training and prev. speed adjustments
SPC
Failure mode analysis
Certain yield functions
FSMA/GFSI controls
X X
Track downtime
Rich timetable
Real-time OEE feedback
Automated condition checks
Speed setting driven by ERP recipe
Preventative automated inspections
Real-time SPC
Real-time FS controls
Lab-driven machine conditions
shapeyour
business
shapeyour
business
CompleteOEEFramework
SuccessfulOEEprogram
OEE accurately measures throughput
Comprehensive set of
OEE input parameters
I4.0-supported data
Single source (ERP?) standard
parameters
Trained operators
Daily routines based on OEE
input/output
Continuous improvement program
Real-time OEE analytics
Cost analysis supported
by OEE metrics
shapeyour
business
shapeyour
business
OEEasa
Competitive
Advantage
Define OEE goals
Identify source of
data for downtime
and speed
Thoroughly research
best-demonstrated
standards
Slow rollout of OEE –
line by line
Rollout of CI program
once data accumulates
Increased efficiency and company value à
Setup data flow and
automation plan
Strict work to
establish optimal
process speed
Implement best-practices in
each line until perfection is
achieved
Plant-wide CI program
including change
management and other
disciplines
Focused on price/unit to match
market needs
Current
State
Rollout of cost
analysis and target
savings
Future
State
Strict work on recipes,
standard batches,
variance, etc.
ERP Implementation à
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business
Weareinthe
businessshaping
business
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business
Q & A
Resources
White Papers & Surveys
Webinars & Videos
Product & Partner Info
Solution Consultation
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What Food Manufacturers Need to Know about Measuring OEE - London Consulting Group | SafetyChain

  • 1. What Food Manufacturers Need to Know About Measuring OEE Presented By: Daniel Campos, London Consulting Group Beyond Compliance Webinar & Podcast Series
  • 2. Beyond Compliance Webinar Series SafetyChain.com The Series Webinar & Podcast Series BEYONDCOMPLIANCE
  • 3. Beyond Compliance Webinar Series SafetyChain.com The Sponsor Food Quality Management System üFood Safety üFood Quality üSupplier Compliance Learn more at SafetyChain.com
  • 4. Beyond Compliance Webinar Series SafetyChain.com Before We Get Started HELPFUL TIPS üInformal but professional format üAsk Questions (Q&A at end) üOnly panelists are displayed üRecording link will be shared üAudio issues: use call-in number
  • 5. TRAINING TOPIC What Food Manufacturers Need to Know About Measuring OEE Presented By: Daniel Campos, Managing Partner, London Consulting Group • 15+ years of experience serving Fortune- 500 companies and family-owned business in the USA, Mexico and the Americas • Expert in food manufacturing
  • 7. shapeyour business shapeyour business Over 25 years of experience Founded in 1991, operating in the Americas, the Caribbean and Spain through 11 regional offices North America Central America South America Caribbean Spain
  • 9. shapeyour business OurExperienceSolutions Strategic Planning Marketing and Sales People & Organization Supply Chain Management Operations Information Technology Back Office / Shared Services Operational Due Diligence Certifications
  • 10. shapeyour business shapeyour business OEE – What is it and how does it affect me? The effects of Industry 4.0 in OEE measurements Bringing it all together to impact the bottom line Common pitfalls to avoid Topicstoday
  • 11. shapeyour business shapeyour business 7 Ways to influence the key drivers of OEE & uncover hidden dollars in your plant The secret to pre-op inspections that helps avert significant performance bottlenecks Tips to measure OEE the right way, including a peek at the formulas today’s leading food manufacturers are using How to turn OEE into your biggest competitive advantage Technologies that easily and accurately measure OEE Goalsfortoday
  • 13. shapeyour business shapeyour business OEE – Overall Equipment Effectiveness Measure of achievement of the machine at standard Think of it as the breakdown of reasons why your equipment is underperforming – either because of stoppages, slow rates of processing or incidence of rejects. For friends: Availability*performance*quality It’sabouttime! (andrateandyield) OEE–BasicConcepts
  • 14. shapeyour business shapeyour business Production line works 8-hour shift, machine makes 50 units/hr Let’sexploreaneasy example OEE–BasicConcepts 8 hrs x 50 units/hr = 400 units per shift 8:00am 4:00pm
  • 15. shapeyour business shapeyour business Production line works 8-hour shift, machine makes 50 units/hr Let’sexploreaneasy example OEE–BasicConcepts 8 hrs x 50 units/hr = 400 units per shift 8:00am 4:00pm 7 hrs x 50 units/hr = 350 units per shift 1 hr set up
  • 16. shapeyour business shapeyour business Production line works 8-hour shift, machine makes 50 units/hr Let’sexploreaneasy example OEE–BasicConcepts 8 hrs x 50 units/hr = 400 units per shift 8:00am 4:00pm Actually ran at 7 hrs x 40 units/hr = 280 units per shift 1 hr set up Of the expected 280 units the warehouse received 250
  • 17. shapeyour business shapeyour business Pretty obvious that we received 250 vs 400 expected… 😖 Whathappenedhere? OEE–BasicConcepts 8 hrs x 50 units/hr = 400 units per shift 8:00am 4:00pm Actually ran at 7 hrs x 40 units/hr = 280 units per shift 1 hr set up Of the expected 280 units the warehouse received 250
  • 18. shapeyour business shapeyour business Pretty obvious that we received 250 vs 400 expected… 😖 We can break it down differently: Whathappenedhere? OEE–BasicConcepts 7/8 hrs = 87.5% UOM = Time Lost 1 hour 280/350 units = 80% Missed 70 units UOM = Units 250/280 units = 89.2% Wasted 30 units UOM = Units Notice the cascade effect that causes a ripple effect on the ability of the line to perform as promised. = 87.5 % x 80% x 89.2 = 62.5% Full potential = 8 hrs x 50 units/hr = 400 units UOM = Units
  • 19. shapeyour business shapeyour business Pretty obvious that we received 250 vs 400 expected… 😖 We can break it down differently: Whathappenedhere? OEE–BasicConcepts 7/8 hrs = 87.5% UOM = Time Lost 1 hour 280/350 units = 80% Missed 70 units UOM = Units 250/280 units = 89.2% Wasted 30 units UOM = Units Notice the cascade effect that causes a ripple effect on the ability of the line to perform as promised. = 87.5 % x 80% x 89.2 = 62.5% Or: = 250 actual units / 400 promised = 62.5% Full potential = 8 hrs x 50 units/hr = 400 units UOM = Units
  • 20. shapeyour business shapeyour business If this line costs $1,000/day to run, each units cost the company $4.00 ($1k/250 u) instead of the potential $2.85 – an increase of 40%! Whatistheeffect? OEE–BasicConcepts 7/8 hrs = 87.5% UOM = Time Lost 1 hour 280/350 u nits = 80% Missed 70 units UOM = Units 250/280 u nits = 71.4% Wasted 30 units UOM = Units = OEE 62.5% Full potential = 8 hrs x 50 units/hr = 400 units UOM = Units
  • 21. shapeyour business shapeyour business We can think of the breakdown as a way to separate the reasons behind deviation from standard: Takingonestepback… OEE–BasicConcepts Use of available Time Compliance to line Speed/Rate performance Production of quality units
  • 22. shapeyour business shapeyour business Focusonrelevantcontrols foreachelement OEE–BasicConcepts Use of available Time Compliance to line Speed/Rate performance Production of quality units Breakdowns Changeovers Micro-stoppages Prev. Maintenance Feeding Line balancing Certain types of waste Micro-stoppages Optimal running conditions Training and prev. speed adjustments SPC Failure mode analysis Certain yield functions FSMA/GFSI controls X X
  • 24. shapeyour business shapeyour business Manufacturers that focus on OEE solely as a throughput metric miss an opportunity to transform corporate culture – OEE as the foundation of Continuous Improvement programs The key to taking that additional step – comprehensive root-cause analysis OEEisJusttheBeginning SuccessfulOEEprogram
  • 25. shapeyour business shapeyour business CompleteOEEFramework SuccessfulOEEprogram OEE accurately measures throughput Comprehensive set of OEE input parameters I4.0-supported data Single source (ERP?) standard parameters Trained operators Daily routines based on OEE input/output Continuous improvement program Real-time OEE analytics Cost analysis supported by OEE metrics
  • 26. shapeyour business shapeyour business 7TopCIInitiativesThat SupportOEEElements SuccessfulOEEprogram OEE element Common issues Initiatives Availability Breakdowns Changeovers Micro-stoppages Prev. Maintenance Feeding 1. Availability improvement circles 2. Redesigned PreOp inspections 3. Directed prev. maintenance Performance Line balancing Certain types of waste Micro-stoppages Optimal running conditions Training and prev. speed adjustments 4. Training and daily routines 5. Real-time visibility Quality SPC Failure mode analysis Certain yield functions FSMA/GFSI controls 6. Tighter controls on special cases 7. OEE-driven cost controls
  • 27. shapeyour business shapeyour business Goal: continuous analysis of OEE downtime data, implementing quick-hits based on larger share of downtime or added cost Process: 1. Gather data, organize top-down, focus on root-cause 2. Multidisciplinary committee that meets weekly basis. Production, maintenance, leads and operators. 3. Explore dynamic factors: materials, scheduling, order processing, quality inspections and holds. 1.Availabilityimprovement committee SuccessfulOEEprogram
  • 28. shapeyour business shapeyour business 2.PreOpinspections–settingup forperformance SuccessfulOEEprogram Goal: reinforce PreOp inspections to include productivity drivers Process: 1. Prioritize outcome of improvement committee 2. Think outside the box into those dynamic factors: material availability, machine speed settings, line operator instructions, quality controls ready to go, end-of-line packaging is set. 3. Think beyond the sheet of paper: automated PreOp inspections with interlocks into the machine
  • 29. shapeyour business shapeyour business 4.Trainingand dailyroutines SuccessfulOEEprogram Goal: provide a structured day for leads/supervisors responsible for line productivity (PreOp for the shift) Process: 1. Train leaders into identifying factors that impede productivity 2. Build accumulated knowledge into a checklist (or an hourly set of tasks) 3. Train and train again – productivity, leadership skills, OEE math, costing, etc.
  • 30. shapeyour business shapeyour business 5.Real-timevisibilityof productivityforoperators SuccessfulOEEprogram Goal: leverage technology to provide automatic real-time productivity signals to line operators Process: 1. Identify the top factors that line operators can control to drive line productivity (inspired by committee results) 2. Direct process engineers to provide signal screens at the line to encourage real-time changes in behavior 3. Factors include: pieces/min, delays time, expected end time, and 15-min interval display with rating of performance.
  • 32. shapeyour business shapeyour business Different product categories require tweaking the performance goals and formulas, including cases where: - Process parameters drive yield (cheese) - Process rates are very slow or produce one unit (mixed batches) - Process of interest includes a continuous flow of liquids 6.Specialcases–fluids,one- unitflow,criticalyield SuccessfulOEEprogram
  • 33. shapeyour business shapeyour business In principle, OEE requires consistent units of measure to complete the analysis of performance and quality elements 6.Specialcases–fluids,one- unitflow,criticalyield SuccessfulOEEprogram 7/8 hrs = 87.5% Availability UOM = Time Lost 1 hour 280/350 u nits = 80% Missed 70 units Performance UOM = Units 250/280 u nits = 71.4% Wasted 30 units Quality UOM = Units = OEE 62.5% Full potential = 8 hrs x 50 units/hr = 400 units UOM = Units
  • 34. shapeyour business shapeyour business In a cheese plant, gallons of milk and cream turn into pounds of curds and gallons of whey, that are then packaged into blocks of a certain weight. We solve this issue by switching to a mass-balance calculation and incorporate it into a throughput analysis. 6.1Specialcases–fluids,one- unitflow,criticalyield SuccessfulOEEprogram Cheese Vat (gals) Cheese blocks (units) Gals @ X density = P lbs of Fat Q lbs of SNF R lbs of Protein Units @ X weight and composition = P lbs of Fat Q lbs of SNF R lbs of Protein
  • 35. shapeyour business shapeyour business Since cycle times at standard can only grow longer, downtimes are added to calculate availability, to complete the formula: 6.Specialcases–fluids,one- unitflow,criticalyield SuccessfulOEEprogram 7/8 hrs = 87.5 % Availability UOM = Time Added down time Standard content of components in formula Variance to formula Performance UOM = #s of each component used Final balance of # of each component #s lost in the process Quality UOM = #s of each component used OEE = AvailabilityX +/- Performance X Quality/ YieldFull potential = units @ weight UOM = #s of each component
  • 36. shapeyour business shapeyour business In a continuous flow fluid packaging operation (e.g. Brewery, soda, etc.) where the properties of the batch are well-known (density, brix, etc.), the variance comes from fill level. 6.2Specialcases–fluids,one- unitflow,criticalyield SuccessfulOEEprogram Beer (gals) Bottles of varying fill levels Gals @ known density = Potential bottles +/- assumed waste Units @ standard fill = Resulting net bottles +/- losses Important! Flowmeter
  • 37. shapeyour business shapeyour business Downtimes are considered normally, but quality is derived from the output vs. the flowmeter. 6.2Specialcases–fluids,one- unitflow,criticalyield SuccessfulOEEprogram 7/8 hrs = 87.5 % Availability UOM = Time Actual down time Actual fill cycles for the time available Variance to fill cycle counts Performance UOM = units/hr Final balance of packaged units Fill variance (can also be positive) Quality UOM = units OEE = AvailabilityX Performance X Fill factor / quality Full potential = units @ standard / hr UOM = units Mixed gals / bottle fill size
  • 39. shapeyour business shapeyour business Inter-connected production devices (sensors -> PLCs -> database) Easy access to detailed information (database -> analytics) Support operators with real-time analytics (analytics -> insights -> HMI) Systems make decisions autonomously (conclusions/info-> PLCs) KeyPrinciples Industry4.0
  • 40. shapeyour business shapeyour business I4.0 augments the ability of the enterprise to impact OEE outcomes WhyisI4.0RelevantforOEE? Industry4.0 Use of available Time Compliance to line Speed/Rate performance Production of quality units Breakdowns Changeovers Micro-stoppages Prev. Maintenance Feeding Line balancing Certain types of waste Micro-stoppages Optimal running conditions Training and prev. speed adjustments SPC Failure mode analysis Certain yield functions FSMA/GFSI controls X X Track downtime Rich timetable Real-time OEE feedback Automated condition checks Speed setting driven by ERP recipe Preventative automated inspections Real-time SPC Real-time FS controls Lab-driven machine conditions
  • 41. shapeyour business shapeyour business CompleteOEEFramework SuccessfulOEEprogram OEE accurately measures throughput Comprehensive set of OEE input parameters I4.0-supported data Single source (ERP?) standard parameters Trained operators Daily routines based on OEE input/output Continuous improvement program Real-time OEE analytics Cost analysis supported by OEE metrics
  • 42. shapeyour business shapeyour business OEEasa Competitive Advantage Define OEE goals Identify source of data for downtime and speed Thoroughly research best-demonstrated standards Slow rollout of OEE – line by line Rollout of CI program once data accumulates Increased efficiency and company value à Setup data flow and automation plan Strict work to establish optimal process speed Implement best-practices in each line until perfection is achieved Plant-wide CI program including change management and other disciplines Focused on price/unit to match market needs Current State Rollout of cost analysis and target savings Future State Strict work on recipes, standard batches, variance, etc. ERP Implementation à
  • 45. Q & A
  • 46. Resources White Papers & Surveys Webinars & Videos Product & Partner Info Solution Consultation info@safetychain.com SafetyChain.com