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Lean Articles

six sigma Articles

Lean Articles

six sigma Articles

FMEA Risk Analysis - Lean Six Sigma Risk Management Tool

Why the FMEA is a Great Tool for All Project Managers

The Failure Mode and Effect Analysis (FMEA) is a powerful tool for managing risk. Originating from the aerospace industry during the 1960s, it has since become a cornerstone in industries ranging from manufacturing to healthcare. The FMEA tool enables organisations to identify potential failures in a system, product, or process before they occur. By proactively assessing the potential consequences and severity of these failures, mitigation strategies can be developed to reduce risk and improve overall operation efficiency.

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Mood's Median Test diagram

A Beginner’s Guide to the Mood’s Median Test in Lean Six Sigma

The Moods Median Test, a non-parametric approach for assessing the equality of medians from two or more groups, is an essential tool in statistical analysis, particularly when the assumptions required for traditional parametric tests are not met. This method offers a robust alternative, providing valuable insights into data sets that might otherwise defy straightforward analysis due to their non-normal distribution or heteroscedasticity. Understanding its output is crucial for researchers and analysts aiming to make informed decisions based on statistical evidence. The following introduction aims to demystify the output language of the Moods Median Test, ensuring that users can interpret their results with confidence and clarity.

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Histogram: A Comprehensive Guide

A Histogram is an essential tool in the realm of data visualization, acting as a graphical representation of data distribution. They provide a visual interpretation of numerical data by showing the number of data points that fall within a specified range of values, called ‘bins’. This comprehensive guide aims to delve deep into the world of histograms, breaking down their complexity and highlighting their practical application in various fields.
Whether you’re a student, a data analyst, or just a curious reader, this guide will help you understand histograms and their relevance in making sense of vast data. Sit back, enjoy, and let’s embark on this journey together to understand the histogram.

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Scatter Chart

How A Scatter Plot Can Upgrade Your Data Analysis Strategy

Scatter Plot

A scatter plot is a powerful tool when it comes to data analysis. A scatter diagram can provide insight into the relationship between two variables, which may not be evident through other visualizations. The scatter chart quickly helps identify if any relationship exists. The Scatter Diagram and Scatter Chart or Scatter Plot can also help identify outliers and correlations that can improve predictive modelling or decision-making. By understanding how to visualize your data using the scatter diagram, you can take your data analysis strategy to the next level!

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Process Capability

An Introduction to Process Capability

Process capability is the ability of a process to meet customer requirements and expectations. Preliminary process capability involves statistical measurements that assess a process’s ability to produce outputs within specified limits, focusing on newer or unregulated processes. It is a quality control measure and can be determined using three primary tools: specification limits, statistical process control (SPC) tools such as X-bar and R charts, and calculation of Cp and Cpk values. Process capability can be improved by analyzing existing processes, identifying underlying causes of variability, and responding to identified issues quickly and effectively.

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Priortisation Matrix

What is a Priortisation Matrix

Idea Summary: Priortisation Matrix

 

A priortisation matrix is a powerful tool that can be used to quickly and effectively assign priority levels to tasks, projects, and goals. This allows users to identify which tasks should be completed first, taking into account any time or budget constraints. By establishing criteria for what is most important within a project, it is possible to make better decisions regarding how resources and efforts should be allocated for optimal outcomes. A well-crafted prioritisation matrix allows project managers, team members, stakeholders, and other participants to better visualise the order in which tasks should be handled while taking into account any constraints they may face. Ultimately, this can save time and money while ensuring that customer needs are met within the agreed-upon timeline.

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Sources of Measurement Error - Bias and Precision

Sources of Error in Measurement in Research Methodology: Bias and Precision – LeanScape

In the exploration of measurement errors within research methodology, LeanScape delves into two critical components: bias and precision. The article illuminates how bias, stemming from systematic discrepancies between the measured values and true values, can significantly skew research outcomes. It further articulates that precision, or the consistency of repeated measurements under unchanged conditions, plays an equally pivotal role in ensuring the reliability of research findings. By comprehensively analysing these elements, LeanScape underscores their influence on the validity of research methodologies, advocating for meticulous attention to minimise errors and enhance the integrity of scientific inquiry.

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What is Sigma in Six Sigma

What is Sigma in Six Sigma, and What Does It Mean for You?

In Six Sigma, ‘Sigma’ (represented by the Greek letter ‘σ’) is a statistical term that measures process deviation from perfection or the standard. The ‘Six’ in Six Sigma refers to the statistical concept of having less than 3.4 defects per million opportunities (DPMO), which equates to a process being 99.9997% defect-free.

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