Trend Charts in Quality Management: Enhancing Process Monitoring

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You can learn a lot about your process by monitoring its change over time. There are different trend charts which will allow you to do that. Let’s look at a few. 

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Assessing Process Stability: Techniques and Tools

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Have you ever wondered why your doctor may keep you waiting in the waiting room or why you have to fast before doing a blood test? Let’s see if Lean Six Sigma can give you an answer.

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Steps in Constructing an X-Bar and R-Control Chart

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Steps in Constructing an X-Bar and R Control Chart: This document contains the step-by-step instructions to construct an X-bar and R control chart. First the R chart is constructed. If the R chart validates that the process variation is in statistical control, the XBAR chart is constructed.

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Tolerance Range: Expecting Variation in Your Data

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Understanding and determining the upper and lower statistical limits are the key to determining tolerance range (TR). Find out more about this LSS concept.

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Monitoring Process Performance with X-Bar and R Charts

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Is the variation in your process data to be expected, or has something special occurred? A control chart will give you the answer. The X-bar and R chart will give you the details.

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I-MR Chart: Understanding Your Process Stability

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The Individuals-Moving Range (I-MR) Chart is one of the most widely-used control charts in statistics and the standard for most situations where data was collected in individual data points. It allows such a process to be assessed for stability both in terms of central tendency as well as variation.

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Warning Limits: Catch Outliers in Your Production

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Lean business operations don’t happen without defining expectations, collecting data and monitoring results. Statistical limits serve your streamlining goals through efficiency quality control and loss prevention.

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attribute data

Natural Tolerances: Expecting the Drift

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The economical method of setting the control limits of a process to a specific level is known as natural tolerance. Natural tolerances work well for typical desired levels of control and are useful for reviewing the practicality of the specification limits.

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The Role of Lower Control Limit in Process Stability and Improvement

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Process stability is a critical need before trying to improve that process, and control charts are used to assess it. The lower control limit is one of the three fundamental lines on a control chart for identifying a lack of stability.

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Steps in Constructing a p-Chart: Finding Nonconformance in Your Data

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Steps in Constructing a p-Chart: p Charts can be used when the subgroups are not of equal size. This guide shows you the steps involved in constructing a p Chart.

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How to Set and Use Control Limits to Improve Your Process Performance

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This article will introduce you to control limits. You will learn about the role of control limits, how they were designed, and the role they play in process improvement.

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Variable vs. Attribute Data: What’s the Difference?

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Throughout any project, you’re going to gather up quite a bit of data. Now, this can be broken down into two categories: variable and attribute data. Understanding the difference and learning how it is applicable during the analysis stage can be crucial for future decision-making. So, with that in mind, let’s take a […]

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The Complete Guide to Understanding Control Charts: How They Work, and Which to Use

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Control charts have two general uses in an improvement project. Undeniably, the most common application is as a tool to monitor process stability and control. A less common, although some might argue more powerful, use of control charts is as an analysis tool. Throughout this guide, you’ll have the various control charts identified. […]

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Short-Run Statistical Process Control Techniques

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Short production runs are a necessity in high-mix, low-volume manufacturing environments. The trend in manufacturing has been toward smaller production runs, with production runs – as well as products – tailored to the individual customer’s needs. Although this minimizes inventory and improves responsiveness to the customer, it complicates the application of statistical process control (SPC). Classical […]

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