What is Lean Six Sigma - ADDVALUE - Nilesh Arora

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“Six Sigma (6σ)” by

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History of Six Sigma (6σ) • In 1986 Bill smith, Seniors Engineer and scientist introduces concept of Six Sigma • Bill smith Known as “ Father of Six Sigma” • In 1995, Jack Welch introduced Six Sigma at GE


What’s in a name? • Sigma is the Greek letter representing the standard deviation of a population of data. • Sigma is a measure of variation (the data spread)

σ

μ


What is Six Sigma ?

A philosophy?

What is Six Sigma? A metric?

A methodology?


What is Lean Six Sigma? What is Lean ? • Goal – Eliminate waste and increase process speed • Method – Genchi Genbutsu– Go and See the workplace (Gemba) – Kaizen (Change for better) workshops


What is Lean Six Sigma ? What is Six Sigma ? • Goal – Reduce variation to improve performance on CTQs (Variation means system does not produce same result each time) • Method – DMAIC, DMADV,DFSS approach

6


Normal Distribution Curve Lower Spec

-

Upper Spec

- 1σ

µ

+

+ 1σ

68.26% - 2σ

+ 2σ 95.44% + 3σ

- 3σ - 4σ - 5σ - 6σ

99.73% 99.9937%

+ 4σ + 5σ + 6σ

99.999998% 99.99943%


Sigma 1 2 3 4 5 6

% Good

% Bad

DPMO

30.9%

69.1%

691,462

69.1%

30.9%

308,538

93.3%

6.7%

66,807

99.38%

0.62%

6,210

99.977%

0.023%

233

99.9997% 0.00034%

3.4


What is Six Sigma performance?

LSL

USL

Your process is performing at sigma level of six if Mean the difference between mean and specification limit Question - How many times of standard is six times the standard deviation deviation (σ) is specification limit to mean?

? times σ

-6σ

-5σ -4σ -3σ -2σ -1σ

1σ μ +1σ

Answer – Same as sigma level for the process (Z value)

+2σ +3σ +4σ +5σ +6σ


Data Driven Approach

Y= f (X) To get results, should we focus our behavior on the Y or X ?

• • • • • • •

Y Dependent Output Effect Symptom Monitor Response

• • • • • • •

X1 . . . XN Independent Input Cause Problem Control Factor

Is it feasible to eliminate the inspection of Y, if X’s are controlled well?


How Six Sigma Process Follows? • Identify customer issues which generally follows timely delay, high cost, defect etc… • Internalized as performance measures such as e.g. Cycle time, defect rate etc. • Target performance levels are established and then company seek to perform around this targets with minimal variation


THE DMAIC METHOD 5

1

CONTROL

DEFINE

4 IMPROVE

2 MEASURE

3 ANALYZE


Phase 1: Define Projects Identification Method VOC ANALYSIS (Problem identification based on customer’s voice) VOB ANALYSIS (Problem identification based on Business problems) COPQ (Problem identification based on cost of poor quality i.e. Process Defects )

Identification of CTQs

List of problems/projects of organization on the basis of Criticality, Out come , Time line


Phase 2: Measure • –

• –

– –

Goal Focus the improvement effort by gathering information on the current situation Output Data that pinpoints problem location or occurrence Baseline data on current process sigma A more focused problem statement

5

1

CONTROL

DEFINE

4 IMPROVE

Baseline Data

2 MEASURE

3 ANALYZE

Sampling Gage R Patt

Ca p

ab

ilit

erns

y

&R


DATA COLLECTION •

The system to collect information is already established.

Find the data which supports the defined problem

Find out the data stream wise/ product wise etc..

Data type: •

Attribute data or Discreet : Value of countable quality characteristics Example - Number of Defects, Number of Defectives.

Continuous data or Variable data : Value of measurable quality characteristics Examples - Strength (kg/cm2), weight (kg) , length (cm), temperature (° C), time (sec)


Phase 3: Analyze 5

1

CONTROL

DEFINE

4 IMPROVE

2 MEASURE

3 ANALYZE

• Goal – Identify deep root causes and confirm them with data

• Output

s c es Pro alysis An i i-Var Mult

Organize Causes

ion

Hypothes is Testing

Reg r e ss

DoE

– A theory that has been tested and confirmed


Phase 4: Improve • Goal

– Develop, pilot, and implement solutions that address root causes.

• Output

– Identification of planned, tested actions that should eliminate or reduce the impact of the identified root causes

1

5 CONTROL Solutions

4 IMPROVE

FMEA Pilot

ne lemon p Im tati

DEFINE 2 MEASURE

3 ANALYZE


Solutions •Improvement team created with members of Quality, Production, Engineering and R&D areas to propose and evaluate ideas. •Brainstorming tool was used to gather ideas on how to solve the problems identified. •Ideas were evaluated per following criteria: feasible, high impact, easy, low cost, and quick. •Following tables summarizes solutions agreed by consensus of the improvement team.


Cont r ol

e

e

Closu r

r

te

z rdi

Mo nit o

t

Ev al ua

da

en m cu Do

• Goal – Use data to evaluate both the solutions and the plans – Validate that all changes adhere to all operating company change control, and compliance requirements – Maintain the gains by standardizing processes – Outline next steps for on-going improvement • Output – Before-and-After analysis – Monitoring system – Completed documentation of results, learning, and recommendations

n Sta

Phase 5: Control

5

1

CONTROL

DEFINE

4 IMPROVE

2 MEASURE

3 ANALYZE


Q.C STORY BOARD • Q.C Story board is representation of all steps taken from identification to solution and reviewable of taken probable solutions • Clear problem identification is the most imp part of Q.C Story Board • Different dept people needs to be involved in a whole process to have fresh ideas


PARETO ANALYSIS • Known as 80-20 Rule • Used for identification of Major problems • To find out 20% problems which causes 80% rejection


PARETO ANALYSIS P e r c e n t a g e

Code of defect


FISHBONE DIAGRAM


5 WHY ANALYSIS


5 WHY ANALYSIS



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