Statistical Control Process: Is it Right Business Strategy For You?

Manufacturing enterprises, it has been observed, are currently suffering the most difficult competition. In addition, the cost of raw materials is steadily rising. This is something the firm cannot refute. The corporation has the option of using a statistical control process in this situation. In addition, the organisation must constantly enhance efficiency, quality, and cost reduction. Several companies also rely on the inspection procedure once the manufacturing process is concluded.The operator can immediately spot changes or trends in the process with the help of performance monitoring. These changes must be understood before non-conforming products can be produced.

What does the term "Statistical Process Control" mean?

Statistical Process Control is a statistical method for measuring, controlling, and monitoring a process in order to ensure its efficiency and effectiveness. Because variation is an unavoidable aspect of any process (whether manufacturing or service), businesses employ a variety of ways and instruments to manage it and achieve the desired results.

SPC is the fundamental instrument for detecting even minor variations in a process and taking corrective and preventive action to keep it under control.

Some noteworthy SPC outcomes are listed below

We've measured and confirmed the results with SPC deployments over the years. Here are a few notable examples:

The income of a solar organisation has increased by 700K as the output per sun cell has increased.

The line inspection process is eliminated in a semiconductor company.

A pharmaceutical company made over 850K per year via proper dosing and scrap reduction.

The food manufacturer has been able to lower obesity by 1%.

Within three months of integrating SPC with Big data and OEE, the medical instrument manufacturer observed a 25% improvement in productivity.

Control Chart for Statistical Processes

The Shewhart chart is another name for the statistical process control chart. It is SPS's most important tool. It's shown as a graph with data and control limits plotted on it. This displayed data was then utilised to examine the process variation. It also has three lines to represent the level of variation: the middle line for the average control limit, the lower line for the lower control limit, and the upper line for the upper control limit. The historical data is used to determine these boundaries. The current data is then compared to these lines to determine the process' efficiency.

What is the significance of the statistical control process?

SPC is useful for improving processes by continuously minimising variances. Other objectives can be easily met with the help of SPC, such as:

eliminate or reduce supply chain requirements, decrease scarp, inspection costs, and rework, more efficient analysis, data entry, and reporting, improve productivity, fewer customer complaints, and improved customer satisfaction, establish a consistent and predictable level of quality, increase operator motivation, improve communication among organisational levels, and lower investment

As a result, understanding the ideas of statistical control is always beneficial.

Tools for Statistical Process Control

Check Sheet

It's a straightforward structured document that collects data in real time. Analyze the faults at the point where the data is generated. This is necessary so that these flaws can be corrected as soon as possible.

Stratification

It's a form of flow chart that depicts the entire process as a series of boxes. This tool categorises data, people, and things into groups. It thus provides a visual picture of the process, which aids in swiftly analysing the entire process and identifying any flaws.

Scatter Diagram

Through the use of a graph, this tool is used to investigate the possible link between two variables. It aids in comprehending the relationship between the two variables as well as the strength of the relationship. If data is spread close to a trend, this method portrays a strong link, and vice versa. And if the data is dispersed at random. Then there isn't any link between the two variables.

Histogram

It depicts variation in the process by displaying the frequency with which certain data occurs. As a result, it's also known as Frequency Distribution. As a result, it aids in the distribution of a process' output. It also comes to a conclusion regarding the customer's requirements or checks for any variations in the procedure.

Pareto Chart

It's a type of bar graph with the longest bars on the left side. On the right side, the shortest bars. It denotes the frequency with which a cost, time, or money is encountered. And the size of the bar is used to assess it. Preto is a tool that may be used to determine the frequency of any problem or defect in a process. And the essential areas that must be prioritised.

Cause and Effect Diagram

Fishbone Diagram is another name for it. This tool lists all of the factors that contribute to a specific outcome or problem in a process. It specifies the major causes of any problem, such as machine, material, or manpower, among others. Then, under each main heading, subheads of all connected causes are enumerated. As a result, if any change in the procedure is suspected. Through this diagram, the organisation can determine the source of an issue or effect.

Conclusion

Statistical Methodology Control is a statistical strategy for controlling and monitoring a process in order to evaluate the issues associated with it in advance by comparing control limits so that remedial actions may be done to avoid special causes. It comprises a number of instruments designed to improve the efficiency of this strategy.

It will assist the company in improving its quality and productivity, reducing costs and time, and increasing profits. As a result, we can conclude that controlling and monitoring a company's processes is one of the most effective tactics.