December 2011 Quality Scan
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Transcript of December 2011 Quality Scan
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10 www.sme.org/manufacturingengineering | December 2011
QualityScan
Quality Assurance (QA) is more than just a process or department that ensures products meet customers requirements. It is a philos-ophy, a mindset shared between the corner office and the shop floor to achieve excellence. Quality standards must be enmeshed into the fabric of
a companys culture. Striving to achieve zero defects involves the commit-
ment of resources, cutting-edge technology, and continuous fine-tuning.
Companies that transcend the ordinary have at their core a quality-
assurance mindset that inspires client loyalty. Quality inhabits everything
that is done: from design, to manufacturing, to shipping, to the way
customer service calls are handled to achieve the long-term goals of
the company. Management sets the tone by investing in the resources,
equipment, and personnel necessary to exceed customer expectations, and
every employee understands that quality is critical to his or her success.
Achieving six sigma should be on the minds of all your employees and
implementing processes like statistical process control (SPC) methodolo-
gies and lean initiatives is one small step in the right direction.
QA is not just a process that occurs at the end of production. Employ-
ees company-wide are empowered to act immediately during the entire
production process to proactively resolve situations as they occur, or even
before they occur. QA personnel are vital to the production process. They
spot trends as they occur and take corrective action, and make the neces-
sary decisions to ensure standards are constantly met, quality products are
produced, and your process continually improves.
QA tools and equipment ensure that data are error-free and analyzed to
indicate when a process is out of control or out of specification or trending
toward either. Such data analysis tools enable employees to react proac-
tively versus reactively to situations that occur, eliminating downtime.
Cutting-edge technology also enables the use of historical data. Previously
recorded data are a predictor of future data; they let you know when its
necessary to invest in new equipment to maintain your quality standards.
One key component in QA is the ability to centralize information and
collect real-time information for continuous improvement. This information
can be shared from the production floor to upper management and, with
the proper security in place, to your suppliers. One means of accomplish-
ing this is through a native SQL database system. Every QA system should
comply with government security regulations, specifically FDA 21 CFR Part
11. The system should be designed to ensure the authenticity, integrity,
and confidentially of electronic records. It should limit access to authorized
individuals only, and provisions should be included for periodically check-
ing, recalling, or revising the user ID and passwords to cover events such
as password aging, including safeguards to prevent unauthorized use.
A QA system should also include Automotive Industry Action Group
(AIAG)Compliant Measurement Systems Analysis. Gage repeatability and
reproducibility (R&R) should be a standard feature in the QA system allowing
two or three operators to conduct up to a three-trial repeatability analysis.
Users should also have the ability to create repeatability range charts, part
operator average charts and part by operator plots from your Gage R&R data.
A QA system must also provide ID fields for traceability such as lot
number, machine number, department number, employee number, etc.
Note fields should also be included to trace assignable causes and cor-
rective actions. A query function is helpful to allow filtering of spreadsheet
data in order to see the parameter for which you want matching results.
To consistently deliver superior products to your customers and exceed
their expectations, you must have data on your products instantly available
to them, albeit it in an audit, or an on-site inspection. You can also have
the information readily accessible so your customers can view the QA data
in real-time, therefore connecting the links for supply chain quality. To
guarantee meeting your standards, data related to the products delivered
to you by your suppliers must be captured. If inconsistencies occur, this
must be immediately communicated to them so that any future defects are
detected before the product reaches your dock.
When executed well, QA enables you to manage suppliers, reduce
downtime, eliminate scrap, minimize rework, and use your employees time
more efficiently, saving money. The quality data collected also enables you
to make educated decisions about opportunities for new business, and
demonstrating your capability to manufacture a quality product will help
you win new business. ME
Warren HaPresidentZontecWeb site: www.zontec-spc.com
Striving to achieve zero defects involves the commitment of resources, cutting-edge technology, and continuous fine-tuning.
QA: The Heart of Your Business