Minitab Realtime SPC Software - Bilig Opex
English Ptesi - Cuma 09:00-18:00 +90 2167092987
Email [email protected]
English Ptesi - Cuma 09:00-18:00 +90 2167092987
Email [email protected]

Minitab Realtime SPC Software

Advantages

  • Opportunity to work on the cloud.
  • Ability to follow on a step-by-step basis in process and product categories.
  • In addition to control limits, you can identify situations that require action in your processes and receive warnings with specification and action limits.
  • In case of warnings, you can select predefined reasons and actions and assign them to the relevant person.
  • When you do not have the opportunity to collect data automatically from your processes, you can also collect data manually.
  • Data can be exported to Minitab Statistics Software for detailed analysis.
  • You can make Process Capability Analyzes (Pp-Ppk, Cp-Cpk) with instant data.

 

What is Statistical Process Control?

Statistical Process Control, who developed the concepts of quality related to variability in the 1920s, Dr. Continuing the work of Walter Shewhart, Dr. Developed by W. Edwards Deming. Today, IPK is used in both service and production processes around the world.

Generally speaking, SPC (Eng. SPC) is a method that uses statistical analysis based on variability to monitor, control and improve a process. Its philosophy is based on the knowledge that all processes involve inherent variability, however, undesirable or unpredictable extreme variability sometimes negatively affects quality and process results. If the results of a process are not consistent and predictable, both in service and production processes, the costs of that process will be higher. SPC tools are used to reduce variability and reduce costs.

Control charts are created with data from measurements of process inputs or outputs over time and represent variability between (or between subgroups of) these measurements. The average value, the lower and upper control limits calculated based on the formula, as well as the data points and the results of the variability tests are displayed in the graphs, informing the responsibles about the performance of the process. In this way, it helps those responsible monitor how a process is performing and identify the causes of factors hindering high performance.

Control charts basically show whether a process is in control or out of control. The process is considered out of control if the variation of the process output over time is out of control or consists of unnaturally ordered points.

If a process is under control, the results of the process can be accurately predicted. In an out-of-control process, there is no way to predict whether the results will reach the target. If a process has gotten out of control, the reasons that made it the way it is are sought and tried to be eliminated.

In the past, creating control charts was a difficult process that required statisticians to actually calculate various data points and control limits. Today, control charts can be created quickly and accurately using SPC software and computers.

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Minitab Real Time Statistical Process Control Solution: RealTime SPC

RealTime SPC combines seamless data automation from multiple data sources with the leading statistical analysis engine.

Minitab®’s cloud-based IPK solution RealTime SPC, which provides next-generation real-time statistical process control, can collect and analyze detailed and real-time data from locations around the country or the world, enabling appropriate proactive or remedial steps to be taken to meet production targets with quality on-site and on time. .

The Minitab Connect data access and data management engine seamlessly integrates all your relevant data sources to reflect a complete picture of operations. RealTime SPC serves at-a-glance monitoring and analysis by generating real-time statistical control charts from this centralized and integrated quality data, and by running relevant control tests and visualizing their results.

Single, group and proportional control charts in the RealTime SPC inventory are automatically updated with dynamic data fed in real time, and insights are presented with sharing and collaboration tools. As soon as changes in the data that may cause problems occur, instant process feedback and real-time alerts are sent to the process managers.

 

Definition of Statistical Process Control

Statistical process control (Statistical Process Control, SPC, Tr: IPK) is a standard methodology used to measure, monitor and control quality with data obtained from a process. Organizations in both the manufacturing and service industries, which focus on process improvement for early detection of problems for maximum efficiency, less cost, and higher quality product/service production, frequently use SPC’s key tools such as control charts and capability analysis. You can find more basic information about the IPK here.

 

Real-Time IPC

Ideally, the SPC should focus on the inputs of the process, not its outputs. Insights about the process obtained from the SPC tools should be applied to the process even before the outputs are spoiled, and the SPC should play an error-preventing role. Especially in the data collection and interpretation of the outputs obtained from the SPC tools, the necessity of human beings prevents the realization of this ideal.

Developing technologies enable simultaneous monitoring and control of processes, as well as making it applicable not only to output but also to inputs, as is the ideal of SPC today.

The Real-Time SPC concept focuses on the ability to monitor process data in real-time and receive immediate alerts when quality will change. This will help you and your team to identify and quickly resolve issues before they affect quality or costs.

In Real-Time SPC, product and process information should be collected in real time, and changes in process data should be quickly controlled and corrected without exceeding tolerances. For this, operators and process managers should also be provided with instant alerts, triggers and other event management tools.

Implementing Real-Time SPC is a time- and cost-saving solution with a high return on investment.

In order to implement real-time SPC, (1) collection of output and effective input data from the field and (2) rapid and automatic analysis of these collected data, (3) rapid implementation decisions based on the insights obtained from the analysis results are required.

 

Minitab Real Time Statistical Process Control Solution: RealTime SPC

RealTime SPC combines seamless data automation from multiple data sources with the leading statistical analysis engine.

Minitab®’s cloud-based IPK solution RealTime SPC, which provides next-generation real-time statistical process control, can collect and analyze detailed and real-time data from locations around the country or the world, enabling appropriate proactive or remedial steps to be taken to meet production targets with quality on-site and on time. .

The Minitab Connect data access and data management engine seamlessly integrates all your relevant data sources to reflect a complete picture of operations. RealTime SPC serves at-a-glance monitoring and analysis by generating real-time statistical control charts from this centralized and integrated quality data, and by running relevant control tests and visualizing their results.

Single, group and proportional control charts in the RealTime SPC inventory are automatically updated with dynamic data fed in real time, and insights are presented with sharing and collaboration tools. As soon as changes in the data that may cause problems occur, instant process feedback and real-time alerts are sent to the process managers.

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