Equipment
Reliability Institute
your reliability newsletter
May, 2001 - vol. 3 |
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Hello.
May I introduce this issue?
Larry George drew many comments, last
issue, with his "Measure Field Reliability with Statistics". This
time Larry offers "Could Firestone and Ford Have
Known?".
Larry's piece is followed by some ideas
of mine on how to sell training to your boss, his boss, etc. Yes,
it takes a little courage to tell them that
your people need training.
And a "sidebar" mentions some vibration
and shock courses I'll be teaching in the next few months. Check
them out!
Hope you enjoy
this issue!
Best wishes,
Wayne
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Could
Firestone and Ford Have Known?
by Larry George
On August 2, 2000, Firestone recalled "…all
ATX and ATXII tires of the P235/75R15 size manufactured since 1991
and all Wilderness AT tires of that same size manufactured at Firestone's
Decatur, Illinois, plant." On August 30, 2000, the NHTSA recommended
that Firestone expand the recall. Firestone declined. Investigation
continues. As of February 2, 2001, the NHTSA was aware of 174 fatalities
"alleged to be related to a tire failure." Firestone tires were
original equipment on some Ford and Mazda SUVs, light trucks, and
pickups.
The NHTSA Firestone complaints database [1]
includes the tire failure date and the vehicle make, model, and
year. The difference between failure date and vehicle year is the
age of the vehicle at tire failure. The complaints database also
indicates whether the failed tire was an original one. Using vehicle
production data [2], I made the nonparametric estimates of age-specific
tire reliability in figure 1. The last data point for each year
is the estimated reliability in the year 2000.

Figure 1. Age-specific tire
reliability estimates of recalled
tires by year of production
Reliability got worse in tires manufactured
in 1996, but you'd have to wait to see the evidence of that. That
is because you can't estimate reliability at age five until tires
are at least five years old. The NHTSA collected almost all the
complaints in the year 2000, so the NHTSA couldn't have made the
estimates in figure 1 until late in the year 2000.
Table 1. Fatalities by Year
of Tire Failure
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Year
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Fatalities
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1991
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0
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1992
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2
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1993
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0
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1994
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4
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1995
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2
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1996
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7
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1997
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9
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1998
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15
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1999
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34
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2000
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39
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Presumably, lawyers contacted Firestone and
Ford regarding these fatalities, so both companies would have had
this data, perhaps in the years in which the tire failures occurred.
Shouldn't that have prompted corporate concern?
The risk management department of a major medical
company told me, "Just don't kill anybody." They explained that
their concern was risk, the number of opportunities for failure
times the probability of failure per opportunity (unreliability)
times expected cost per failure.
Firestone and Ford were probably concerned
about the ominous trend in fatalities, at least in 1999. Would it
have been possible to recognize problems earlier?
What If You Had Been Working for Firestone?
Imagine that you were working for Firestone
in the 1990s. Firestone knows its ships and warranty returns, because
generally accepted accounting principles require that data. Ships
and returns are statistically sufficient for estimating age-specific
field reliability [3], forecasting returns, and providing early
warning.
In 1991 you would have had the data from 1991;
in 1992, you would have had data from 1991 and 1992; and so on.
You could have estimated reliability each year. Figure
2 shows the nonparametric least squares estimates, as if they had
been computed each year from 1994 through 2000. (I used Ward's vehicle
ships and the NHTSA's annual failure counts, for original equipment
tires.)

Figure 2. Age-specific tire
reliability estimates by year
from ships and returns data
In the year 2000, problems were obvious, but
could they have been recognized earlier? In 1997, the figure would
have ended at the sixth year, with a reliability decrease from six
nines (0.999999) to five nines (0.99999). That would have gotten
my attention. That decrease in reliability could have been because
- Tires produced in 1991 started failing
in 1996
- Tires produced in 1996 started failing
in 1996
- Something in between occurred
That reliability decrease should have called
for sampling, more analysis, and possible corrective action, if
Firestone had been estimating tire reliability from ships and returns
data. Firestone would have saved half their costs if the recall
had been made in early 1997.
What If You Had Been Working for Ford?
Imagine that you were working for Ford in
the 1990s. Ford knows its own production figures, and it tracks
warranty repairs by VIN and symptom, which yields age data sufficient
to make the estimates in figure 1. It is not necessary to track
warranty repairs by VIN. That requires 1000 times as much data and
incurs at least 1000 times as many errors.
Suppose some warranty repairs were due to tire
related problems. You could have made the estimates in figure 3,
which shows estimates made from ships and NHTSA complaints, year
by year.

Figure 3. Age specific tire
reliability estimates by vehicle
make and model from ships and returns data
The last data point for each vehicle model
is the estimated reliability in the year 2000. The Mountaineer went
into production in 1996, and tire problems became evident in its
second year, 1997. The Explorer began production in 1990, and tire
problems became evident in its sixth year, 1997. These reliability
estimates should have encouraged Ford to investigate tire related
problems in 1997, if Ford had been estimating age-specific reliability,
even from ships and returns data.
Conclusions and Recommendations
Age-specific field reliability can be estimated
without tracking parts and products by serial number. It also helps
detect exceptions, process shifts, improvement, or deterioration
attributable to calendar intervals. It helps separate the effects
of vehicle, make, model, tire type, or plant.
If you're trying to control risk like that
experienced by Firestone and Ford, estimate age-specific field reliability
by calendar intervals. Make actuarial forecasts of returns and put
upper confidence limits (UCL) on the forecasts. Use them like control
charts. If returns in some calendar interval exceed the UCL, take
a sample, estimate reliability from age-at-failure data, search
for root causes, and evaluate process improvements. Revise forecasts,
estimate risk under alternatives, and act accordingly.
References
- http://www.nhtsa.dot.gov/hot/Firestone/complaints.xls,
Feb. 2, 2001 version. The analyses reported in this article are
based on the Dec. 6, 2000, version.
- Ward's Automotive Yearbook, annual
publication of Ward's Communications.
- L. L. George, "Measure Field Reliability
With Statistics," Equipment-Reliability Newsletter, Jan.
2001.
Mark Felthauser, CCI/Triad, helped with
the statistical analyses. Eva Langfeldt, Text Support, edited the
article. I am grateful to them for their thoughtful contributions.
Contact them through Larry, pstlarry@home.com
or 925-447-4969.
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Courage
by Wayne Tustin
It takes courage to say to one's superiors,
"My people need training in _______" (naming the subject).
Among the unpleasant rejoinders you
might get: We can't afford it. There's no budget for training. You're
already expended this year's training budget. Teach them yourself.
You took _______ in college, didn't you? How have you "gotten by"
up till now? Why not continue?
Perhaps readers can add to that list,
citing similar rejoinders they have received.
Let's hope you get a more helpful rejoinder,
something like "Put your requirements in writing, in a form I can
pass up the line. There must be several ways we can obtain that
training. List the strongest needs (from management's point of view)
first, down to the weakest needs. Estimate costs of obtaining that
training "outside". If you think that any of our present staff can
teach what you need, work with that person to estimate hours needed
´ hourly rate including overhead + all materials needed. Also estimate
immediate and long-range costs of continuing as we are, without
that training."
Obtaining training "inside"
Does anyone in your organization want
to teach about ________? If you find such a person, question his/her
practical experience in the field. Look at what he/she has published.
Will that kind of material help your people? Does he/she have time
to prepare lectures? Handout materials? Estimate what that will
cost (several hours away from other duties ´ that person's hourly
rate, for each projected class hour). Also estimate the chances
that this person will be an effective teacher.
Obtaining training "outside"
A. Here you might consider sending individuals
to a local university short course, if the instructor has actually
worked in the field named. Check up on that instructor. Look at
what he/she has published. Will that kind of material help your
people? Ask the university "Who took this course last year?" Ask
fellow members of your local or national engineering society for
their opinions.
B. Alternately, you might consider
sending individuals to a distant short course. In addition to fees,
estimate travel and living costs, as well as time off work.
If your management funds either A or
B, management probably hopes that the now-educated attendee(s) will
be able to teach others. Estimate what that will cost (several hours
away from other duties, preparing classroom materials ´ hourly rate,
for each projected class hour). Also estimate the chances that this
now-educated attendee will be an effective teacher.
Bringing in specialized training
This may prove most effective and least
costly, particularly if "tailored" to meet your peoples' needs.
Hopefully, other departments will share in the costs as well as
the benefits. For example, if your people perform environmental
tests, speak with designers who have had difficulty meeting (or
even understanding) product test requirements. Speak with production
and quality engineering people concerned with stress screening.
Distance Learning
You are no doubt aware that colleges
and universities as well as specialized schools offer instruction
via "the Net" or via CD-ROM, with individuals studying at their
own pace, on their own time or on "company time". This approach
can be cost-effective, but you need to monitor participant progress
over many weeks.
Getting by without specialized training
Certainly it's possible to continue
as you are doing, but at what cost? Your best people want to feel
that they are learning new material, and may leave if they perceive
of themselves as stagnating.
Do your designers and test people communicate
well? Participating together in training enhances on-the-job communications.
Perhaps you are not fully using your
existing lab, and must go "outside" to a commercial test lab. How
many hours of "outside" testing did you use last year? At what hourly
rate? Do you perform needed developmental tests outside? Or do you
defer tests until products are mature, resulting in very expensive
changes? What did those changes cost last year?
Right now Wayne Tustin is "studying up" on the
vibration and shock measurement and testing issues pertaining to
computer hard drives, preparing for a private course. Have you heard
about intense noise developmental testing and production screening
of printed wiring boards? It's an alternate method (to electrodynamic
shakers and to pneumatic repetitive-shock machines) for flexing
PWBs during HALT, HASS, ESS, etc. You can send him an e-mail to
tustin@equipment-reliability.com
if you want to learn more. Or you can phone him at 805/564-1260.
He would like to hear from you.
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Questions our readers
have asked...
Bill Shust's client asked "How can we avoid
fatigue failures on our loaders?"
Onboard monitoring of a construction
loader during feedlot operations identified suspect weld
locations and lengthened service life dramatically.
I installed strain gages and pressure transducers
on a loader, and recorded up
to 55 minutes of continuous data as well as ASTM rainflow histograms.
Using a SoMat eDAQ equipped with a 450 Mbyte PCMCIA memory card,
strains and pressure were recorded at 1000 samples/second. The 16-bit
analog to digital converters of the eDAQ yielded data resolution
of approximately 0.1 microstrain or 0.1 psig. The recorder was located
in the operator's cab near the driver. Data was downloaded to a
notebook PC over a LAN cable, typically during operator breaks.
Static stalls, truck loading and yard cleanup operations
by several operators were recorded. Relatively lightweight flaked
corn and alfalfa are normally loaded with this unit. Therefore,
occasional and unintended side-contact of the bucket with the concrete
storage bin was originally suspect as the most severe field event.
However, lateral bending strains caused by side-contact proved significantly
lower than vertical bending strains measured during and after typical
truck loading operations.
Strain
gages had been placed 1/2-inch from various weld toes, for later
application of British Standard 5400 fatigue analysis method, commonly
used with structural steel. Measured vertical strains were more
than twice the infinite-life strain ranges for BS5400 weld Classes
F2 and G. Fatigue analysis showed that relatively few cycles of
these larger strain ranges contributed the majority of fatigue damage.
Further examination of time history relationships showed that excessive
residual pressure in a hydraulic cylinder resulted in these few
but large-amplitude cycles. Hence the typical service life of this
new equipment would fall short of customer expectations in several
welds.
Fortunately, free-body diagrams of the equipment
were used to also show that a relatively simple change in the retraction
hydraulic circuit could greatly reduce peak-to-peak strains (by
close to one-half) of the more damaging cycles. The fatigue model
predicted that the resulting strains would improve service life
by almost a factor of ten. A full report including photos, video
logs, test data files, and SoMat DataXplorer software was transmitted
to the customer on CD.
Prior to forming Objective Engineers, Mr. Shust
managed test programs and conducted mechanical testing for over
15 years in the railroad, highway truck, and power generation industries.
He has BS and MS degrees in Mechanical Engineering from Michigan
Technological University. If you want to contact him, please send
an e-mail to shust@equipment-reliability.com
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Yahoo.com of the Reliability
field
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I was pleased, recently, to hear John Van Baren, president of Vibration
Research, Inc., refer to ERI as "the Yahoo.com of the reliability
testing field". He was referring to the many links we have to test
labs, to test equipment manufacturers, to sensor manufacturers,
etc. Please visit http://www.equipment-reliability.com/link.htm
and you'll see what John was talking about.
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Coming soon: new vibration
site
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Cris (Cristiane Barzellay, our webmaster)
is preparing the new vibrationandshock.com
Dynamicists among you will want to visit
this site. She will move much of the vibration and shock material
from ERI's
website over there. That will "free up" more space for articles
by Larry, by other ERI specialists and, we hope, by YOU.
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Vibration
and Shock courses coming up
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Wayne Tustin will teach the following short courses in vibration
and shock measurement, analysis, calibration, testing, HALT, ESS
and HASS:
Pico
Rivera
(Los Angeles), CA,
May 16-18, 2001
Farmingdale
(Long Island) , NY,
June 6-8, 2001
Thun,
Switzerland,
October 1-3, 2001
Billerica
(Boston), Massachusetts,
October 9-11, 2001
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Announcements
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European EMC Instructor
ERI is seeking an authority
on European EMC directives to teach USA EMC practitioners. Please
e-mail Wayne Tustin
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Check our Glossary!
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Check our Vibration
and Shock Glossary. You will find important words and their definitions.
This list evolved from Wayne's 50 years of work experience and it
is constantly updated. |
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Contact information
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ERI - Equipment Reliability Institute
1520 Santa Rosa Av.
Santa Barbara - CA - 93109
Tel/Fax: (805) 564-1260
Wayne Tustin tustin@equipment-reliability.com
Webmaster webmaster@equipment
- reliability.com
Website http://www.equipment-reliability.com
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