How do I know what process characteristics to control?

While the construction of control charts is relatively straightforward, often a more difficult question is: how do I know what process characteristics to control in the first place? Clearly, controlling everything is not feasible or a smart use of limited resources. In an earlier Ask the Expert topic, we discussed the philosophy of process control as opposed to inspection … Continued

SPC 101: Differentiating Between Cpk and Ppk Values

Let’s take the confusion out of Cpk and Ppk. Just like control charts tell us about the stability of the process, capability analyses tell us about process capability. Capability Indices help us judge whether the process is capable of producing parts that are within specifications. Among the various capability indices, Cpk and Ppk are popular … Continued

Misapplications of SPC…and the Consequences

Many manufacturing leaders believe that their production personnel use SPC properly, but the evidence suggests otherwise. Statistical Process Control (SPC) is a method that enables manufacturers to prevent problems and to control their production processes. Unfortunately, it is rarely applied correctly, so manufacturers tend to be inefficient, reactive, and even unprofitable. Upon investigating most warranty, … Continued

Can control charts detect small process shifts?

EWMA or Cusum charts are the best charts for detecting process shifts less than 1σ. Typical control charts, such as Xbar & R and X & Mr, indicate whether or not a process is statistically stable. They detect process changes greater than 1.5σ and, because of this, are not the best tool to detect small … Continued

How Can an OC Curve Be Used to Manage Risk of Undetected Special Causes?

An OC curve allows practitioners to determine a sample size that will result in the detection of those process changes that are of practical significance while minimizing the occurrence of false alarm. When applied properly, SPC provides manufacturers a proven method to increase profitability and achieve a deeper understanding of their processes. Additionally, SPC can … Continued

Where do the typical control chart signals come from?

The purpose of control charting is to regularly monitor a process so that significant process changes may be detected. These process changes may be a shift in the process average (Xbar) or a change in the amount of variation in the process. The variation observed when the process is operating normally is called common cause variation. When … Continued

Pre-Control: No Substitute for Statistical Process Control

Unfortunately, applying “simple” tools at the expense of tools with considerably more value (and really not much more complexity or difficulty) doesn’t cut it. Statistical Process Control (SPC) charts allow timely detection of assignable causes of process changes (e.g. shifts, trends, variation). This allows root causes to be determined and allows the production team to … Continued