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SIX SIGMA
benefit us all. The assembly process uses costly
materials and many different kinds of tooling.
What if we could consolidate tooling? What if we
could cut material waste or use alternative materials
to reduce cost while still meeting or exceeding
quality levels? At National, our Singapore assembly
and test facility did just that.
In 2000, the central technology and manufacturing
group (CTMG), National’s manufacturing arm
at the time, began a continuous improvement initiative.
After two years, CTMG senior management
was still not satisfied with the improvement level.
So in 2002, they invited representatives of Thomas
A. Little Consulting to speak at the annual CTMG
summit about their experience in high-tech disk
drive processes that had a lot in common with semiconductor
fabrication. They presented compelling
arguments for Six Sigma when applied to the semiconductor
industry’s highly process driven manufacturing
methods.
With fewer than 10 defective parts per million,
National was satisfied with its track record and
reputation but realized there’s always room for
improvement. It was apparent reducing costs while
maintaining product quality was a goal ripe for a
Six Sigma effort.
C.S. Liu, senior vice president of National’s
plant in Melaka, Malaysia, at the time, agreed to
conduct a nine-month Six Sigma pilot program,
which showed encouraging results. In June 2003,
Kamal Aggarwal, then executive vice president
of CTMG, mandated all CTMG units would deploy
Six Sigma. National is now on wave three of
its Six Sigma deployment.
Reducing Cost, Waste With DMAIC
National’s Singapore plant was ideally situated
for success with a material cost reduction project. It
had a staff with plenty of Six Sigma experience
plus access to software that could make Six Sigma
projects run smoothly with less wasted time and
manpower.
TABLE 1
Die Attach Paste Wastage Data Collection Plan
Who will
Define what to measure Define how to measure do it? Sample plan
Measure Type of Operational Measurement Data tags needed to Data collection Persons Where? When? How
measure definition or test method stratify the data method assigned many?
1. Percentage Y variable Weight of Weighing Device ID, machine Manual Die attach Front of line Daily Length of
waste of epoxy thrown scale number, epoxy tag, weighing operator project
epoxy
type, date/shift, volume
thrown
of syringe, time from
thaw to expiry, reason
of change of syringe
2. Epoxy X variable Number of Epoxy shelf Epoxy type, vendor Material data Engineering Vendor specs Once Once
shelf life hours to expiry life sheet
after thaw
3. Volume X variable Number of Number of unit Machine number, Manual Chris/Kuah Front of line Daily Every
of units units produced die attach package type,lot details syringe for
produced per syringe a total of
per syringe
80 syringes
4. Epoxy X variable Amount of Usage per die Device die size,specific Data calculation Die attach Engineering Once All devices
usage per epoxy use per calculations gravity engineering involved
device
device (die)
5. Machine X variable Machine Downtime Machine number, Manual Chris/Kuah Overall Daily Every
stoppages downtime downtime taken equipment syringe for
efficiency
80 syringes
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DECEMBER 2005 I
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