oee
TRANSCRIPT
OEE Seminar Report
CHAPTER I
INTRODUCTION
In today's economy, you're expected to continuously improve your Return
on Total Capital. And as capital to build new, more efficient plants becomes
more difficult to obtain, you often have to meet growing production demands
with current equipment and facilities — while continuing to cut costs.
There are several ways you can optimize your processes to improve
profitability. But it can be difficult to understand the overall effectiveness of a
complex operation so you can decide where to make improvements. That's
especially true when the process involves multiple pieces of equipment that
affect each other's effectiveness.
One metric that can help you meet this challenge is Overall Equipment
Effectiveness, or OEE. OEE measures the health and reliability of a process
relative to the desired operating level. It can show you how well you're utilizing
resources, including equipment and labor, to satisfy customers by matching
product quality and supply requirements.
Overall Equipment Effectiveness (OEE) measures total performance by
relating the availability of a process to its productivity and output quality.
OEE addresses all losses caused by the equipment, including
Not being available when needed because of breakdowns or set-up and
adjustment losses
Not running at the optimum rate because of reduced speed or idling and
minor stoppage losses
Not producing first-pass A1 quality output because of defects and rework
or start-up losses.
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OEE was first used by Seiichi Nakajima, the founder of total productive
maintenance (TPM), in describing a fundamental measure for tracking
production performance. He challenged the complacent view of effectiveness by
focusing not simply on keeping equipment running smoothly, but on creating a
sense of joint responsibility between operators and maintenance workers to
extend and optimize overall equipment performance.
First applied in discrete manufacturing, OEE is now used throughout
process, batch, and discrete production plants.
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CHAPTER 2
DEFINITION
The overall performance of a single piece of equipment or even an entire
factory will always be governed by the cumulative impact of the three OEE
factors:
Availability, Performance Rate and Quality Rate.
OEE is a percentage derived by multiplication of the three ratios for the
factors mentioned above. The OEE percentage is used for analysis and
benchmarking.
What is OEE?
OEE = Availability X Performance Rate X Quality Rate
OEE is calculated by multiplying three factors: availability, productivity,
and quality.
% OEE = ( % Availability ) * ( % Productivity ) * ( % Quality )
The values used can reflect an entire processing plant, a process line, or an
individual piece of equipment.
For individual equipment, the performance of the equipment is compared
to earlier values for the same equipment or to similar pieces of equipment.
Changes in OEE or its elements are tracked and trended over time. OEE for a
process line treats the entire line as a single unit, regardless of how much
equipment it includes. For multiple-recipe or batch operations, OEE is calculated
for each product produced. Like a process line, a process plant performs as a
whole, and OEE is therefore calculated for the entire plant as a unit.
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CHAPTER 3
AVAILABILITY
Percent of scheduled production (to measure reliability) or calendar hour’s
24/7/365 (to measure equipment utilization), that equipment is available for
production
Equipment availability isn't just assumed to be the length of the shift in
which it is operated. Instead, it's based on actual operating time, as a percentage
of the possible production time.
Actual production time % Availability = __________________________ Possible production time
Example:
A process line is operated 24 hours a day, 5 days a week (120 hours).
Planned downtime for preventive maintenance is 1 hour each week. Unplanned
downtime due to equipment failure and equipment adjustment is 7 hours.
% Availability =
(120-1-7)
(120 - 1)
= 112
119= 94%
Even the best operations have some downtime. What makes them the best
is keeping availability as high as possible. Here are some typical availability
values to benchmark your own process against.
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Process TypeQuartile
Worst 3rd 2nd Top
Continuous <78% 78-84% 85-91% >91%
Batch <72% 72-80% 81-90% >90%
Chemical, Refining, Power <85% 85-90% 91-95% >95%
Paper <83% 83-86% 87-94% >94%
Source:
Flour Global Services — Benchmark study — NA, AP, EU — 1996
For large complex assets or fleets of capital equipment, availability
typically runs between 85%-95%.
The 5%-10% of non-availability is split between "planned downtime"
(scheduled maintenance) and "unplanned downtime" (breakdowns).
How can I measure and improve availability?
Availability is simply a way to quantify how much of the time your
equipment or process is up and running as it should. The higher the availability,
the more you can produce — and the greater your Return on Assets.
Your goal, therefore, is to minimize downtime — especially unplanned
downtime — by improving process and equipment reliability. This course
provides an overview of availability as a factor in OEE.
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CHAPTER 4
PERFORMANCE RATE
Percent of parts produced per time frame, of maximum rate OEM rated
production speed at. If OEM specification is not available, use best-known
production rate.
Productivity can be calculated by looking at the actual output produced by
the equipment as a percentage of the theoretical output, given its optimum speed
and actual running time.
Example:
The sustained capacity of a plant is 600,000 tons per year. Last year it
produced 560,000 tons.
% Productivity = Actual productionOptimum capacity
= 560,000 tons600,000 tons
= 93%
How can I improve OEE by increasing productivity?
While the availability portion of Overall Equipment Effectiveness
describes the percentage of available operating time that equipment is actually
running, productivity measures how much is produced during that run time.
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Many process plants are capable of higher productivity than they currently
achieve. The difference between current and potential productivity is an
opportunity to increase output — and profits.
This course covers some of the causes of low productivity in process
plants, an approach for improving productivity, and how to calculate the results
as part of Overall Equipment Effectiveness.
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CHAPTER 5
QUALITY
Percent of good sellable parts out of total parts produced per time frame.
Calculating quality rate
The quality rate used in OEE calculations is defined as:
% Quality = Product produced -- (scrap & rework)Product produced
For example, a plant produced 550,000 tons of product, but only 485,200
tons met specifications on the first pass.
% Quality = 550,000 - (550,000-485,200)550,000
550,000 - 64,800550,000
= 485,200550,000
= 88%
How can I improve the quality factor in Overall Equipment Effectiveness?
The third factor that affects profitability is product quality — the
percentage of "on-spec" output produced during the first pass through the
production sequence.
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Improved regulatory control
A regulatory control system can help you produce a uniform product that
consistently meets customer quality demands at the lowest cost. It does this by
minimizing variance throughout the processing cycle — whether that variance is
caused by changing feedstock quality, ambient conditions, equipment
performance, or a host of other factors.
Without an effective regulatory control system, each successive unit
operation can introduce variation that can accumulate throughout the process.
The cumulative variation is reflected in final product quality and the overall cost
of production.
Industry studies indicate that 20 - 40% of process controllers are operated
in manual mode, missing the opportunity to reduce variability through automated
control.
Studies have also shown, however, that more than 30% of the loops that
are automated loops actually increase variability over manual control because of
poor tuning. Many of these loops have equipment problems, including oversized
and undersized valves; excessive hysteresis, resolution, or stick-slip in the valves;
and measurement problems.
The enhanced functionality and performance of intelligent field devices
help minimize these problems, allowing operators to turn on "auto" control. Easy
access to device data enhances loop inspection capabilities to eliminate factors
affecting variability in a control loop and ensure the reliability of the field
measurements. Critical control loops can now be effectively tuned to achieve the
next level of additional revenue generating opportunities.
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Advanced control systems control the process as each variable relates to
overall productivity or effectiveness. These systems are not single-loop controls,
but a multi-variable envelope representing the constraints of pressure,
temperature, and other factors. Within the envelope, the process is continuously
maximizing effectiveness.
Advanced control systems run continuously; responding to changes,
reducing the impact of upsets, and exploiting opportunities to create more profit.
They are especially valuable where production targets or the quality and
availability of raw materials can all change relatively quickly, so that the
operating constraints and the scope for improvement vary from day to day.
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CHAPTER 6
HOW TO USE OEE?
Implementing the Overall Equipment Effectiveness formula in your
facility can take on many different forms. It can be used as an analysis and
benchmarking tool for either reliability, equipment utilization, or both. Don't let
indecision on how to best use OEE become a barrier that prevents you from
using it at all. Start out small if necessary, picking your bottleneck to collect the
OEE metrics on.
Once you see first hand what a valuable tool it is, you can gradually take
OEE measurements on other equipment in your facility. If you work in
manufacturing, there is no substitute for going out to the shop floor and taking
some rough measurements of OEE. You will be surprised by what you find!
While monitoring OEE per equipment brings focus on the equipment
itself, it may not provide true cause of major costs, unless the cause is obvious.
For example OEE can appear improved by actions such as purchasing oversize
equipment, providing redundant supporting systems, and increasing the
frequency of overhauls.
To improve your OEE percentage, you will need to use other tools and
methodologies available to you, like TDC, RCA, FTA etc. TDC is a relatively
new methodology that focuses on True Downtime Cost for justification and
making better management decisions.
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CHAPTER 7
WHY USE OEE?
Overall Equipment Effectiveness (OEE) can be used to save companies
from making inappropriate purchases, and help them focus on improving the
performance of machinery and plant equipment they already own. OEE is used to
find the greatest areas of improvement so you start with the area that will provide
the greatest return on asset.
The OEE formula will show how improvements in changeovers, quality,
machine reliability improvements, working through breaks and more, will affect
your bottom line.
As you strive towards World Class productivity in your facility, this
simple formula will make an excellent benchmarking tool. The derived OEE
percentage is easy to understand and displaying this single number where all
facility personnel can view it, makes for a great motivational technique. By
giving your employees an easy way to see how they are doing in overall
equipment utilization, production speed, and quality, they will strive for a higher
number!
It is highly recommend using an automated equipment monitoring system
with an LCD display for your OEE in each respective area of your facility so all
can monitor. To the employee in each area, it will become as common to glance
at, as the speedometer on a car.
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CHAPTER 8
ADVANTAGES
The OEE calculation provides focus and simplicity to aid in decision
making. It can help you
Identify areas for improvement
Assess incremental revenue opportunities
Benchmark your operation against similar or competitor processes
For example, by tracking the factors that determine OEE, you can
determine whether your equipment experienced more downtime (planned or
unplanned) than expected, or was running at a slower pace or with minor stops,
or produced more defects.
Root cause analysis begins by focusing on the type and extent of loss, not
the OEE percentage rating itself. Both Operations and Maintenance should be
involved in making improvements — whether reducing unplanned downtime,
increasing process productivity, or improving product quality.
Published benchmark values for the factors of OEE are also excellent
indicators of a process's competitiveness in the market. For example, when
measuring Overall Equipment Effectiveness for the first time, process plants may
find they are only achieving around 40%-70% OEE (batch) or 50%-80%
(continuous process). International best practice figures are recognized to be
+90% (batch) and +95% (continuous process).
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OEE Seminar Report
World-class
Overall Equipment Effectiveness
Availability >90%
Productivity >95%
Quality >99%
OEE >85%
Source: Nakajima
Benefits include significantly reducing downtime caused by equipment
failure, as well as avoiding the higher repair costs of unexpected catastrophic
failures.
Predictive maintenance also reduces the need to schedule downtime for
preventive servicing, which guarantees increased availability.
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CHAPTER 9
CONCLUSION
The new economy required management technology not only for active
control of human resources but also an equally or even greater control on
equipment usage. This OEE has full exploited the new manufacturing technology
and has raised the level of competition and increase the range of competitive
standards.
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REFERENCE
1. www.oee.com
2. www.google.com/seminar on oee
3. www.seminarsonly.com
4. www.emerson.com
5. www.maintanceworld.com/Articles/feedforward/overall
6. Overall Equipment Effectiveness, Robert C. Hansen
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ABSTRACT
In today's economy, you're expected to continuously improve your Return
on Total Capital. And as capital to build new, more efficient plants becomes
more difficult to obtain, you often have to meet growing production demands
with current equipment and facilities — while continuing to cut costs. There are
several ways you can optimize your processes to improve profitability. But it can
be difficult to understand the overall effectiveness of a complex operation so you
can decide where to make improvements. That's especially true when the process
involves multiple pieces of equipment that affect each other's effectiveness. To
meet this challenge we can use OEE or Overall Equipment Effectiveness. It helps
in controlling not only human resources but also equipment usage.
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CONTENTS
INTRODUCTION
DEFINITION
AVAILABILITY
PERFORMANCE RATE
QUALITY
HOW TO USE OEE?
WHY USE OEE?
ADVANTAGES
CONCLUSION
REFERENCE
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