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Measures of central tendency like mean, median, and mode are crucial Six Sigma tools for data analysis. They summarize data to reveal typical values, aiding in process improvement. The mean provides the average, highlighting overall trends. The median shows the middle value, offering insights into data distribution and outliers. The mode identifies the most frequent […]

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Effective use of measures of central tendency tool in six sigma

Multi-Vari Analysis is a Six Sigma tool used to study the variations in a process and identify their root causes. By analyzing data across multiple dimensions—such as time, different operators, or machinery—it helps pinpoint where variations occur and their impact on process performance. This tool visualizes data in a way that makes it easier to […]

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Effective use of Muti-vari Analysis tool in six sigma

Probability distribution is a key Six Sigma tool used to understand the likelihood of different outcomes in a process. It shows how the probabilities of various possible outcomes are distributed and is fundamental for statistical analysis. There are several types, including normal, binomial, and Poisson distributions, each suited for different kinds of data and analysis. […]

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Effective use of Probability distribution tool in six sigma

Data sampling is a crucial Six Sigma tool used to collect representative data from a larger population. It involves selecting a subset of data points that accurately reflect the entire dataset, enabling efficient analysis without the need for exhaustive data collection. By using techniques like random sampling, stratified sampling, and systematic sampling, organizations can ensure […]

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Effective use of Data Sampling tool in six sigma

Measurement scales are crucial in Six Sigma as they provide a standardized way to quantify and analyze process performance. By using nominal, ordinal, interval, and ratio scales, Six Sigma practitioners can collect accurate data, identify variations, and implement improvements. These scales help in categorizing data, ranking variables, measuring intervals, and comparing ratios, ensuring precise and […]

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Effective use of Measurement Scales tool in six sigma

What do you understand by Theory of Constraints (ToC)? The Theory of Constraints (TOC) is a management approach to managing the weakest link in a process. A process can have one or more weak links, called constraints, that can be anything that prevents the process from performing to its maximum potential. TOC contends that a […]

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What do you understand by Theory of Constraints (ToC)?

Selecting the Right Sampling Method for LSS Projects There are different reasons why you would go for sampling.If you are a Lean Six Sigma Green Belt or Lean Six Sigma Black Belt, or just an aspirant or a Quality Engineer, you will encounter several scenarios where you have to sample the data during data collection […]

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Selecting the Right Sampling Method for Lean Six Sigma Projects

Cpm is yet another interesting process capability metric that is not very popular. In fact it is more robust than Cpk. Cpm is an advanced measure and it corrects some deficiencies in Cpk. It is also called as Taguchi Capability Measure. In order for us to understand Cpm, let’s take a step back and understand Cpk. […]

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Difference between Cpk and Cpm

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Protected: Measurement System Analysis Quiz

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Protected: Data Sampling Quiz

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Protected: Data Collection – Planning & Execution Quiz

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Protected: Cause & Effect Relationships Quiz

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Protected: Assessing Process Capability Quiz

Measure Phase of Lean Six Sigma Project is the second phase. Following are the deliverable of this phase: Identify all possible causes (Cause & Effect Diagram) Validate Measurement System, Data Collection & Sampling Establish Process Capability Identify all possible Causes (Cause & Effect) In the measure phase of a Lean Six Sigma Project, the team […]

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Measure Phase of Lean Six Sigma Project – A Beginner’s Guide,