Guide: 5S Audit
A 5S Audit is the process of evaluating how well a business or workplace is implementing the 5S principles. It aims to identify areas of improvement and ensure consistent adherence to the 5S methodology.
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Guide: Design Failure Mode and Effects Analysis (DFMEA)
Design Failure Mode and Effects Analysis, or DFMEA, is an key risk management strategy in modern product design and development. This technique delves deep into identifying potential failure modes in a product’s design, highlighting its…
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Guide: Process Failure Mode and Effects Analysis (PFMEA)
Process Failure Modes and Effect Analysis (PFMEA) stands as a cornerstone in the realm of proactive risk management in business processes. This analytical method is designed to forecast and preemptively address process failures, establishing a…
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Guide: Project Management Triangle
The Project Management Triangle, also known as the Triple Constraint, Iron Triangle, or Project Triangle, is a fundamental concept in project management, representing the essential trade-offs between Time, Cost, and Scope. These three elements are…
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Guide: MoSCoW Method
The MoSCoW Method transcends being just a prioritization tool; it is a strategic approach for navigating the intricate decision-making in project management. This methodology excels by offering a structured framework, facilitating discussions among stakeholders to…
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Guide: Non-patametric Tests (Mann-Whitney, Kruskal-Wallis)
Non-parametric tests represent a significant aspect of statistical analysis, providing a flexible alternative to traditional parametric methods. These tests are particularly useful when dealing with data that does not conform to standard distribution assumptions, like…
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Guide: Chi-Square Test
Have you ever found yourself drowning in a sea of data, wondering how to make sense of it all? Enter the Chi-Square Test, your reliable guide to exploring and understanding the relationships between categorical variables.…
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Guide: Skewness and Kurtosis
In the area of data analysis and statistical modelling, understanding the shape and characteristics of your data distribution can be as crucial as knowing the data points themselves. Enter Skewness and Kurtosis: two statistical measures…
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Guide: Standard Deviation
The standard deviation is a crucial statistical measure in data analysis, especially within Lean Six Sigma methodologies. It quantifies the extent of variation or dispersion in a dataset, thereby illuminating how data points scatter around…
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Guide: Mean, Median and Mode
In Lean Six Sigma an important part is conducting data and statistical analysis, the concepts of Mean, Median and Mode are some of the basic fundamentals that need to be understood by someone holding a…
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