Why is statistical process control important

By implementing statistical process control, the goal of eliminating or greatly reducing costly product recalls is realized. This is done by analyzing manufacturing data as it happens so that problems are stopped as they happen—instead of being caught after deployment. By stabilizing a production process and reducing the amount of variations in productivity, both the consumer and the company benefit.

The consumer benefits by receiving a safe and tested product, and the company benefits by avoiding the costs and embarrassment associated with a recall. Additionally, statistical process control reduces the amount of money that your company is wasting on excess material during production, whether it is scrap, giveaway, rework or warranties. InfinityQS is committed to delivering content that adheres to the highest editorial standards for objective analysis, accuracy, and sourcing.

Other benefits of statistical process control include an improved company reputation, various cost savings and the prevention of product recalls and returns of defective products.

Taking advantage of statistical process control in your small business makes it much easier to monitor product quality in real time and spot variations before you have large production problems that are costly to fix.

While the math behind statistical process control can be complex, there are several software options that handle the analytics and reporting for you so that you can lower the need for manual inspections. You can simply use live information about processes to spot major problems early, compare current performance to past data and improve your manufacturing processes in the long term.

At the same time, you'll know exactly which processes are working well so that you can avoid unnecessary adjustments.

Another of the advantages of statistical process control is that it helps you create products of more uniform quality so that you experience less waste. If your business produces designer purses, for example, using SPC would help ensure that each purse has the same measurements and design so that customers get the exact product they ordered from you.

Measurements taken from several iterations of the same product that do not follow that normal distribution can be indicative of a problem with materials, personnel, design, or the machinery used in manufacturing or test.

Continuous improvement goes hand-in-hand with utilization of SPC techniques. According to an article written by Matthew Littlefield of LNS Research and published by AutomationWorld, SPC software provides the collection, analysis, visualization, and workflow capabilities of data.

This data helps to minimize variability during production. As the article states, the primary users of SPC software today are machine operators, manufacturing supervisors, Six Sigma project managers and continuous improvement professionals.

Uniformity is one of the key benefits of SPC Software. For example, if a customer buys a branded T-shirt that is of medium size and it fits him perfectly, he likes the T-shirt very much and so that he buys another one exactly like it the next day. All must taste the same, even though thousands of bottles are manufactured per day. SPC software assures uniformity of the final product, whether one unit or a thousand units are manufactured per day.

By assuring uniformity to tightly designed specifications, product quality is assured and rework and RMA numbers can drop. We are open for business and available to help you! We appreciate the support of all our customers during this difficult time. SPC statistical process control is the process in which the measurement of consistent product performance can be achieved. This is important for industries like manufacturing, which need to ensure a high certainty of the quality of goods or products for their various uses.

When there are lapses in quality, which can be caused by a myriad of issues, the end result can be alarming due to the fact that the manufacturing process or design may be to blame. These kinds of anomalies, or soon to be recurring issues, reduce effectiveness, and increase risk factors.

SPC solutions are then required to monitor and record consistency to avoid this, and here are the benefits that these solutions pose. In manufacturing, the ideal end goal is a working product or design that can reach peak uniformity. Of course, this is an idealistic goal and not always possible, but producing units of the same coil should come close to creating a product that is as close to the next one and the one before it as possible.