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Last updated on 2024年5月21日

How can you ensure accurate data collection and analysis with statistical process control solutions?

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Ensuring the accuracy of data collection and analysis is a cornerstone of effective decision-making in any organization. Statistical Process Control (SPC) is a method used to monitor and control a process to ensure that it operates at its full potential. By using SPC, you can detect and prevent problems, ensuring product quality and consistency. This method involves using statistical techniques to measure and analyze the variation in processes, which can help you identify and eliminate errors in both the data collection and analysis phases. Understanding how SPC works and how to implement it correctly can save your organization time and resources while improving overall performance.

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Hitesh Chopra

Strategic IT Leadership and Digital transformation executive, Certified Independent Director, EXECUTIVE MBA INSEAD…
Kayvan Aminbeidokhti

Data analyst, Process Analyst, Continuous Improvement in Action

1 Define SPC

Statistical Process Control (SPC) is a methodology for monitoring a process to identify special causes of variation and signal the need for corrective action. SPC involves plotting data in time order on a control chart to distinguish between common cause variation, which is inherent in the process, and special cause variation, which suggests an anomaly. By analyzing these variations, you can fine-tune processes to operate more efficiently and predictably, which is essential for maintaining quality and meeting customer expectations.

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Hitesh Chopra

Strategic IT Leadership and Digital transformation executive, Certified Independent Director, EXECUTIVE MBA INSEAD , Former-Accenture, Atos | PMP| PgMP | PfMP | ITIL Expert
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SPC is used to monitor, control and improve processes by analyzing data and making data driven decisions 1 Define the process under observation including input output and key steps, determine critical process parameters and variables that significantly impact quality performance of process 2 Calculate control limit based on historical data or statistical method like mean and standard deviation, setup upper and lower control limit to represent acceptable variation 3 Implement standardized data collection procedure to ensure consistency and reliability. Utilize automated data collection or software to capture real time process data accurately 4 Use control charts to process performance and detect deviations, analyze trends patterns in process

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2 Collect Data

Accurate data collection is the foundation of SPC. You must ensure that the data collected is relevant, precise, and consistent. This involves defining what to measure, how to measure it, and when to measure. Use tools like check sheets and automated data collection systems when possible to reduce human error. It's also important to train personnel on proper data collection methods to ensure that the data is reliable and that the process being measured is not disrupted.

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Kayvan Aminbeidokhti

Data analyst, Process Analyst, Continuous Improvement in Action
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Statistical Process Control involves regular data collection and analysis. We can use These data plot on control charts to assess the process’s status and finding abnormal situations. There are three methods to select data: ? Random Sampling: Random sampling involves examining randomly selected samples from the production process to assess overall process performance. ? Time Series Data Collection: Time series data collection is used to monitor the process’s performance over time. ? Batch Sampling: Batch sampling involves taking samples from a specific production batch to assess the batch’s overall quality.

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3 Control Charts

Control charts are the heart of SPC, providing a visual representation of your process over time. They help you identify trends, shifts, or any points that fall outside the control limits—signs of special cause variation. To maintain accuracy, regularly review and update the control limits as processes change over time. This ongoing review ensures that your analysis reflects the current operating conditions and that you are always working with the most relevant data.

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Kayvan Aminbeidokhti

Data analyst, Process Analyst, Continuous Improvement in Action
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Control charts are so useful and they are drawn with upper and lower control limits. These limits keep the process within normal variation. Establishing suitable limits ensures that the process is controlled according to the desired quality level. Two of the most popular SPC tools are the run chart and the control chart. Both can be used to analyse data that is observed over a period of time. These are called ‘dynamic processes’. Charts showing this type of data are often referred to as a ‘time-series’ or a ‘longitudinal’ SPC chart. A process that is not observed over a period of time is called a ‘static processes’ A Funnel chart is commonly used in these cases. These charts are useful for understanding variation for a process.

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4 Analyze Data

Once you have collected data, it's crucial to analyze it correctly. This means using appropriate statistical methods to interpret control charts and understand process behaviors. Look for patterns that indicate process stability or instability. Analyzing data helps you determine whether variations are due to common causes or if there are special causes that need to be addressed to improve the process.

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Kayvan Aminbeidokhti

Data analyst, Process Analyst, Continuous Improvement in Action
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One thing I've found helpful is how to use Normal Distribution and Central Limit Theorem: SPC assumes that the process follows a normal distribution, and it leverages the central limit theorem, stating that as sample sizes increase, the sample mean approaches a normal distribution. These principles ensure accurate interpretation of control charts.

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5 Continuous Improvement

SPC is not a one-time activity; it's an ongoing effort that requires continuous monitoring and improvement. Use the insights gained from SPC analysis to make informed decisions about process adjustments. Remember, as improvements are made, update your SPC methods to reflect these changes. This continuous cycle of analysis and improvement helps maintain process control and ensures long-term success.

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Kayvan Aminbeidokhti

Data analyst, Process Analyst, Continuous Improvement in Action
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I've used SPC in my continuous Improvement projects, When determining whether your quality improvement project should aim to prevent specific problems or to make fundamental changes to the process?

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6 Training & Support

For SPC to be effective, everyone involved in the process must understand its importance and how to apply it. Provide comprehensive training on SPC techniques and the specific roles individuals play in maintaining process control. Additionally, create a support system where team members can ask questions and get help when needed. This fosters a culture of quality and encourages proactive management of processes.

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7 Here’s what else to consider

This is a space to share examples, stories, or insights that don’t fit into any of the previous sections. What else would you like to add?

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How can you ensure accurate data collection and analysis with statistical process control solutions?

1

2

3

4

5

6

7

1 Define SPC

2 Collect Data

3 Control Charts

4 Analyze Data

5 Continuous Improvement

6 Training & Support

7 Here’s what else to consider

Statistics

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How can you ensure accurate data collection and analysis with statistical process control solutions?

1

2

3

4

5

6

7

1 Define SPC

2 Collect Data

3 Control Charts

4 Analyze Data

5 Continuous Improvement

6 Training & Support

7 Here’s what else to consider

Statistics

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