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Introduction to Six Sigma ConceptPowerPoint Presentation

Introduction to Six Sigma Concept

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Brief History of Six Sigma

SIX SIGMA

First Developed by Motorola in the mid 1980's, the methodology only became well known after GE's Jack Welch made it a central focus of his business strategy in 1995.

Over several years that followed the initiation of its efforts, Motorola improved quality levels saved a reported $2.2 billion in the process.

Since 1996 numbers of International Company have grow rapidly from the Six Sigma Culture Change.

Siemens, Seagate, Compaq, Toshiba, AmEx……

- is the 18th letter of the Greek alphabet

- is the symbol for Standard Deviation

- is the measurement for Variations

“6 Sigma methodology is a powerful breakthrough management tool that provides businesses with the strategy, tactics and tools to improve their profitability through focusing on improving the sigma capability of their processes.”

(Six Sigma Academy)

Statistically speaking :-“6 Sigma Process is equivalent to Cp=2.0, Cpk=1.5 and PPM=3.4”

(Motorola University)

Processes

Manufacturing

Where can we apply

SIX SIGMA?

Service

Finance

SIX SIGMA

Procurement

Planning

Design

HR

Anywhere !

The Disciplines of Six Sigma

Six Sigma

Recognize

Define

Measure

Analyze

Improve

Control

- Define (What’s important!)
- Identify Opportunity
- Define the Problem Statement
- Define Scope of Project
- Form Project Team

- Measure (How we’re doing)
- Collect Data
- Analyze Current Problem
- Understand the Cause & Effect Relation
- Define Target for Improvement

- Analyze (What’s Wrong?)
- Identify Root Cause
- Propose Possible solutions

- Improve (Fixing What’s Wrong)
- Prioritize Plan
- Test Proposed Solution
- Optimize Proposed Solution
- Implementation of Proposed Actions

- Control (To Guarantee Performance)
- Measure & Monitor Progress
- Maintain Gain
- Acknowledge Team
- Communicate Results

Process Mapping

Fish-Bone Diagram

C&E Matrix

FMEA

Gauge R&R

Capability Study

Measure

Multi-Vari Studies

Correlation

Regression

ANOVA

Hypothesis Testing

Non-Parametric Testing

Analyze

Screening DOE

Design Of Experiments

Response Surface Methodology

Improve

Quality System

SPC

Audits

Control Plans

Control

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