What are the benefits of using SPC charts to detect and prevent process variation?

If it has been some time since a formal Gage R&R, think about whether this would be a value-add. When taking a measure remember that the variation that we are seeing is broken up into the variation of the "thing" as well as the process of measurement, itself...% contribution of Sigma(measurement system) to process variation is important for on-going process monitoring and % contribution of Sigma(measurement system) to Tolerance if taking a measure to determine "Accept"/"Defect".

Statistical Process Control is not the right tool or technique to identify the root cause of a problem. Historically this tool or technique has been used to identify the root cause of a problem, from my experience: it is a data dependent process, it costs money and time to collect data, analyze data, create all kinds of charts and graphs to come up with a solution to fix the problem. In statistics, area under normal curve, according to the Empirical Rule or 68-95-99 Rule is assumed that the process is under control, so it is a cookie cutter application process. I can prove that this system is nothing but to please the contractual requirements not necessarily to resolve the problem. Please contact for more information. [email protected]

SPC helps to operate the process within defined control limits to make process more stable. Consistent and Stable process lead to production process more effective and able to achieve predictable outcomes.

As SPC charts provide real-time data for the process, it helps in identifying the variations or any deviations in the process behavior. This helps in taking immediate corrective actions to prevent further from the quality issues. Cost reduction: Preventing variations and defects can lead to reduce the cost associated with rework, Scrap and Customer Complaints.

Be cautious of employing pre-control as an alternative to making adjustments to process conditions due to Nelson-based control chart violation rules. There are many patterns that could be employed. My recommendation would be to stick with the +/-3 sigma rule, points ascending/descending and runs above/below the average. Enabling more than these, has the added risk of artificially increasing your likelihood of committing an alpha-error, or interpreting noise as a signal...

The Deming funnel is a good example to run for those beginning to study SPC applications and the impact of over-adjusting a process...many simulations are available to demonstrate this in a training event.

SPC application is equal to the "Blind Man's Blunt Tool" No product knowledge or process knowledge is required. This is a reactive process control method, not necessarily that will resolve all the issues. What we need is a Proactive process control system. Industrial Statistics is the answer to all the manufacturing industries. Cost reduction, time savings, quality yield are few of the advantages with this system. We are in advanced technological era, use the tool that has more capability than SPC, SPC would never work if there is no data. Industrial statistics does not require any sample data, it is a proactive system. Contact for more information: [email protected]

An OOC/OOT event ultimately points to an assignable event/factor/change that is driving process behavior to behave inconsistent with past performance. Not all OOC/OOT events are "bad". Sometimes, we see departures in performance in a positive manner. These events should have the same priority as negative departures that trigger scrap and/or rework events. Identify what has changed to drive a more positive/improved level of performance. Attempt to incorporate that into the new standard. A consistent run of points above/below the centerline (or sequential points ascending/descending) should validate the effectiveness of the improvement.

Millions of Automotive cars have been recalled, do you think those Automotive manufacturers never did SPC, they had no ISO certification, they never controlled manufacturing processes to Six Sigma standards. These are all nothing but a scheme to make money for themselves, nothing but a banner, has nothing to do with quality. When you install Industrial Statistics, process will walk you through the steps of manufacturing and elements of quality and very transparent and productive, quality products are delivered consistently. It is a proven technique, contact us for more details. [email protected]