Why spc

Once repaired, the backup production assembly line can be taken out of the system and normal operation resumes. SPC control charts display the statistical information for monitoring manufacturing quality in a graphical format.

Detecting any errors after production process may result in product waste. For example, a car manufacturer must rely on its parts supplier for good quality spare parts at cost-effective price. If a supplier sometimes ships low-quality parts, the manufacturer may take its business elsewhere. By using SPC software, the supplier is assured customer loyalty because the manufacturer can depend on a good quality product.

By keeping an eye on the quality of the products, defects are caught before the products shipment or delivery of consignments. A best example of ineffective SPC is car recalls.

It costs a car manufacturer hundreds of thousands of dollars to rework on cars to fix the problem. If SPC software is used effectively, the problem can be traced out before the final product leaves the manufacturing plant. As discussed above, scrap and rework expenses can be reduced by effectively implementing SPC software. All the reports can be previewed, printed, saved in PDF format or emailed directly within the program.

For your managers and engineers, standard reports are customized based upon their specific requirements that can include multiple charts on one page. Are decisions being made based on true data? Can you easily determine the cause of quality issues?

Do you know when to perform preventative maintenance on machines? Can you accurately predict yields and output results? Once you've watched the overview contact one of our experts to setup a live demo or register for a risk-free trial. See how your organization can Re-Imagine Quality and improve operational results. Take the first step from quality to excellence. Take the Next Steps. The Range chart shows the variation within the subgroup.

The range is simply the difference between the highest and lowest value. The following steps are required to build an X-bar and R chart:. Once the chart is setup, the operator or technician will measure multiple samples, add the values together then calculate the average. This value is then recorded on a control chart or X-bar chart.

The range of the subgroups is also recorded. The sample measurements should be taken and recorded in regular intervals, including date and time to track the stability of the process. Watch for any special or assignable causes and adjust the process as necessary to maintain a stable and in control process. The X-bar and R chart is merely one example of the different control charts available for process monitoring and improvement. For assistance in determining the best practices to improve your processes, contact one of the many professionals at Quality-One.

The data points recorded on a control chart should fall between the control limits, provided that only common causes and no special causes have been identified. Common causes will fall between the control limits whereas special causes are generally outliers or are outside of the control limits. For a process to be deemed in statistical control there should be no special causes in any of the charts. A process in control will have no special causes identified in it and the data should fall between the control limits.

Some examples of common cause variation are as follows:. Adversely, special causes generally fall outside of the control limits or indicate a drastic change or shift in the process. Some examples of special cause variation are below:. When monitoring a process through SPC charts the inspector will verify that all data points are within control limits and watch for trends or sudden changes in the process.

If any special causes of variation are identified, appropriate action should be taken to determine the cause and implement corrective actions to return the process to a state of statistical control.