Six Sigma

Six Sigma

Lean Six Sigma’s future and does it help with Business Intelligence ?

Lean Six Sigma’s future and does it help with Business Intelligence ? A Different type of blog today based on questions i get from my students and associates alike … So what really is the future of Lean Six Sigma !?? and can it help us with newer career options like analytics, business intelligence etc., …

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Basic Graphical Plots Series: Scatter Plot Overview

Basic Graphical Plot Series: A Scatter Plot Overview A Scatter Plot is among one of the “7 tools of quality” (which i will cover in a separate blog sometime), the “Scatter Plot” (or Scatter Chart or Scatter Diagram) is a visual mechanism to identify/depict any relationship between two quantitative variables (or datasets/samples) that can be …

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The 3M Lean Tool: Toyota’s Short Lean Mantra

3M Lean Tool in a Nutshell The 3M method of TPS (Toyota Production System) is called so because of the three Japanese words used by Toyota to describe 3 unwanted types of elements from their production floor. These are… Muda: Means “Waste” and, as we already saw this is the different types of wastes, several …

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Kaizen : Another effective Lean Tool

Kaizen The word “Kaizen”, also like many of its lean counterparts has its roots in Japanese. It’s a compound word made up from “Kai” (Change) and “Zen” (Perfection/Improvement). Kaizen was also a part of the TPS (Toyota Production System), wherein traditionally a Toyota team at a manufacturing plant would temporarily halt its production in case …

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How is Lean different from Six Sigma ?

  Now, let’s talk about six sigma…, Six Sigma was term coined by Motorola for their group of Project-Management and statistical techniques used to create processes with very low defect count such as 3.4 DPMO (Defects per million opportunities) for a six sigma process. Among Early adopters of Six Sigma were organizations like GE and …

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Approximating Binomial Distributions with Poisson Distributions

Approximating Binomial Distributions with Poisson Distributions: The “law of rare events” or “Poisson limit theorem”, in layman’s terms states that where the independent events have a very low i.e., “rare” probability and number of trials are very large, the Binomial Distributions can be modeled by Poisson Distributions. This was done after Poisson’s work which generalized …

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