In system are engineers & technicians. The engineers

In
this essay I will be covering the statistical process control system. The
statistical process control system, or SPC for short, is basically a quality
control & improvement strategy information system. The statistical process
control system is a data driven, graphic centered, process oriented operator
run system designed to implement timely corrective action & also a way to
identify quality problems & challenges. 
In this essay I will cover the main features & uses of the
statistical process control system. There are several reasons of why many
companies use the statistical process control system.  The main tool of the statistical process
control system is the control chart, which users with access can view &
change attribute data & variable data as they see fit.  Typical users will initiate the use of control
charts & other SPC techniques to reduce variation & to enhance the
manufacturing process. Many times, the companies will use the statistical
process control system to satisfy the customer requirements or to meet certain
certification requirements.  

Characteristics
of the Users of the System

We Will Write a Custom Essay Specifically
For You For Only $13.90/page!


order now

            The typical users of the statistical
process control system are engineers & technicians.  The engineers basically use the statistical
process control system to manipulate data & view trends within the data.  What separates the statistical process
control system from other quality related data systems is basically a greater
emphasis on the participation & role of the process users, more real time
data analysis & preventing problems instead of explaining why they
occurred.

 

 

 

Features
and Usage of the System

            One of the main features of the
statistical process control system is the control chart.  It is basically a graphical representation of
what is going on in a process.  It is a
graphical tool used to distinguish between inherent & assignable
variation.  The SPC system incorporates
the control chart with center line, upper limit, & lower limit functions
which can be manipulated by the user. 
The control chart basically shows changes in data pattern as well as the
causes of the changes in data.  The
control charts have a center line, upper limit line & lower limit line. The
center line function is basically the process average or expected value. The
upper & lower limit values can also be changed by the user if they see fit
to do so. The users can signal the need for corrective action by measuring the
process sample in accordance with the control plan. They then can use the
record function by recording the data on the control chart & plot points
that need further attention. Other users then can log in to the SPC system,
view the control chart & compare any individual readings to the
specifications that are previously noted on the control chart. The variables
& attributes functions are other features that users can view & change
via the SPC system. The variables function basically are characteristics that
users can measure, weight, or change. The attributes function is used for users
to focus on defect & classification. Other functions of the statistical
process control system are the “In control” & “Out of control” status
options.  If data listed on the control
chart are within the upper & lower limit lines, the process is listed to be
“In control” and is capable of producing within the control limits.  If the data is plotted outside of either the
upper limit or lower limit lines, it is process is listed to be “Out of
control”.  The In control & Out of
control status can also be viewed as functions due to the fact that users can
manually change the status of a process as In control or Out of Control at any
given time.  An example of a user changing
a process status to Out of control would be if there is scheduled work to be
done to a manufacturing tool. The tool would be listed as Out of control, and
would not start any manufacturing process until the user logs back in and lists
it as In control.      

Impact
of the System

            The impacts of the statistical
process control system can be great at my organization.  My organization, being that I currently work
at Intel, relies greatly on the SPC system. This is due to the fact that that
almost all the wafer manufacturing tools & equipment are integrated to the
statistical process system. The positive impacts of the statistical process
system would be that with certain users being able to change the data on a
particular control chart, that user can potentially improve the quality of the
output product. This would basically result in not only improved quality but
potentially higher revenues, reduced costs, increased productivity, lower
rework issues, lower scrap costs & lower warranty costs all of which would
basically result in increased profits. The negative impacts of the statistical
process control system would be that at any given time, if data listed on a
control chart is above the upper level limit or lower than the lower level
limit, a process or tool would be “Out of control”.  This means that the process or tool would
essentially be in a down state. At Intel if a process or tool goes down, that
is basically wafers that are not being processed for output. This in turn would
result in a loss of wafers in process, and in a manufacturing environment, if
there is no output the company is basically losing money.  Another negative impact would be that if the
statistical process control system goes down, for example if it fails to load
via the intranet, the fabrication plant would potentially be at a stand still
until it comes back up. This would result in a huge loss due to there being no
output throughout the down time.

 

Conclusion

            In conclusion, I will state that the
statistical process control system is a complex program that while the cost of running
it is high, the return investment to the company utilizing it is potentially higher.
 The knowledge & information created with
the statistical process control system does prove to be successful.  The system does require good coordination and can
greatly improve a company’s product output through user controlled & analyzed
data. With the use of the statistical process control charts, engineering IT can
determine where the process will be out of control at a future point and can then
quickly respond with the steps needed to find a solution. 

Related Posts

© All Right Reserved
x

Hi!
I'm Melba!

Would you like to get a custom essay? How about receiving a customized one?

Check it out