Strategic Management
Consistent high quality has become a requirement in today's competitive market. One vital tool for preventing problems is Statistical Process Control (SPC). SPC is the use of statistics to analyze a process or output so actions can be taken to achieve and maintain statistical control and to improve the consistency of the process. (Jirka, 1995)Statistical - drawing conclusions using a scientific/mathematical approach of analyzing dataProcess - the whole combination of people, equipment, materials, methods, and environment working together to produce output; any work area that has identifiable, measurable outputControl - making something behave in a predictable consistent manner (Jirka, 1995)Applications of Statistical Process Control in the manufacturing sector have been refined and tested with considerable success. Obvious reductions in production and warranty costs, and significant improvements in employee morale are the proven rewards for implementing SPC.· Reduce variation and monitor for unusual variation· Determine the capability of the process· Understand and optimize the proces
A run is a repeating pattern of plot points on one side of the control chart's centerline. Although it sounds simple, it doesn't always happen. Customer satisfaction is key to any company's success. To employ control charts successfully, two things are necessary: good data collection and documentation of the process. In a semi-automated SPC system, information is entered directly into a computer, either by typing or by a gauge linked to the computer. X-bar and S (standard deviation) charts, individuals charts, moving range charts, moving average charts, moving range charts, exponentially weighted moving range charts, and others each have a proper application. Control Charts were invented in 1924 by Walter A. Regardless of whether a chart shows a run, cycle, trend, or a combination of two or more of these, there has been a meaningful change in the process and the control limits may need to be recalculated. Even if the problem is resolved, the probability of repeat sales to the customer has been reduced. The spread (difference between the biggest and the smallest measure on a corresponding chart) is also plotted. There are three types of patterns that may appear on an SPC chart. In a manual SPC system, a person records a small set of readings at regular intervals on a standard SPC form, along with the time and their name. The fishbone takes an effect, symptom, or problem and traces its causes using four major categories: materials, manpower, methods, and machinery. ("Software", 1997) Histograms compare the distribution of measurements from an in-control process with the specification limits. Advantages are that a manual system is flexible and requires no special equipment.
Common topics in this essay:
Control Charts,
SPC Benefits,
Process Control,
SPC SPC,
Goal SPC,
True SPC,
Using SPC,
Walter Shewhart,
Ishikawa Diagrams,
process control,
Control Consistent,
statistical process control,
statistical process,
control charts,
control limits,
charts moving,
control chart,
moving range,
spc system,
specification limits,
range charts,
moving range charts,
charts moving range,
repeating pattern plot,
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