example for six sigma( indian example)
TRANSCRIPT
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Process Quality
Group 3:-Hitesh Gupta
Kunal Kataria
Neha ThakurNishtha Vohra
Nitu Bijarnia
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IntroductionA set of methods for aligning all the components of
a business to the quality requirements of the client or
customer, in order to maximize quality and reduce
waste.
Process improvement methodologies such as sixsigma are used to re-engineer business processes and
business communication
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Measurements
Talk to customers:
Conduct formal or informal surveys of your
customers to find out their key complaints.
Understand internal barriers:
Some companies are culturally resistant to change
and resistant to measurement.It is necessary to dig
into the cause of any resistance before you get too far
down the road.
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Use standard tools:
Activity based costing, total quality management, sixsigma and ITIL (information technology infrastructure
library) are few established methods that large
companies used to tack and improve processes.
Hire a consultant with specific expertise :
It is recommended to start with a consultant or an
analytics expert.
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.Definition. DPMO
. DMAIC
. Variations in processes
SIX SIGMA
TECHNOLIGY
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DEFINITION
Six sigma is a new approach to process controlbased on a set of principles that enables
organizations to improve their quality to zero
defect levels.
Multinational firms such as Motorola and GE
pioneered the use of the six sigma approach to
quality.
Six sigma is applicable to both manufacturingand service organizations.
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DEFECTS PER MILLION
OPPORTUNITIES (DPMO)
A defect is an unacceptable state of productand services for a consumer, arising out of abusiness process that produced it.
The basic metric of interest in six sigmaquality control is the DPMO. This measureindicates how many defects a processgenerates in a million opportunities.
While service industries find it convenientto use DPMO, manufacturing organizationsuse the term parts per million (PPM).
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If in a process,
k= number of opportunities for making a
defect per unit of execution of that processn= number of units of observation of theprocess
d = number of defects that occurred in thatprocess during the observation
The defects per opportunity=d /(k * n )
Defects per million opportunities
( DPMO) = d/ (k * n) * 1000000
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DMAIC
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DMAIC (define- measure-
analyse- improve-control) DEFINE- In this the problem and the context for
improvement is defined.
MEASURE- In this step the data is obtained.
ANALYSE- In this the data collected is analysedto find possible causes for bad quality and identifyareas that need improvement in order to reducedefects.
IMPROVE Here the improvement phase ideasfor eliminating the root causes is developed.
CONTROL Steps are taken that process does notdrift away from new improved standards.
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VARIATIONS IN PROCESSES
The collective set of tools and techniques usedto develop a quality assurance system when
business processes exhibit variations is known
as statistical process control (SPC).
There are basically two causes for variations:
1. Common causes
2. Assignable causes
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COMMON CAUSES
Chance variations arise on account of purelyrandom events that are not in the control of the
system designer or the operating personnel.
The causes of these variations are known as
common causes of variations.
ASSIGNABLE CAUSES
When the observed variations are notstatistically found to be due to random effects, it
clearly points to the existence of some
assignable causes.
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INDIAN Example for Six SigmaMumbais Dabbawalas
&
Wipro
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Introduction
A dabbawala is the one who carries the box inthe Indian city of Mumbai whose job is to carryand deliver freshly made food from home in
lunch boxes to office workers
Tiffin is box in which lunch is carried. For theefficiency of their supply chain it has beenclaimed that this virtually achieves a Six Sigmaperformance rating, (i.e. 99.9999% of deliveriesare made without error, he is at CMMI level 6)
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What is NMTBSA
(Nutan Mumbai Tiffin Box SuppliersAssociation)
History : Started in 1880
Charitable trust : Registered in 1956 Avg. Literacy Rate : 8 th Grade Schooling
Total area coverage : 60 Kms
Employee Strength : 5000 Number of Tiffin's : 2,00,000 Tiffin Boxes
i.e 4,00,000 transactions every day
Time taken : 3 hrs
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Beyond six sigma Error Rate: 1 in 16 million transactions
Six Sigma performance (99.999999) Technological Backup: Nil.
Cost of service Approx. Rs. 300 to 500 /month
About $6 - $7 / month only
Standard price for all (Weight, Distance, Space) Rs. 36 Cr. Turnover approx.
[6000*12*5000=360000000 i.e. Rs. 36 crore p.a.]Earnings -5000 to 6000 p.m.
Zero % fuel Zero % investment
Zero % modern technology
Zero % Disputes
100 % Customer Satisfaction
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Awards and Felicitation
Shri.Varkari Prabhodhan MahasmatiDindi (palkhi) sohala 4 th march 2001.
Invitation from CII for conference held in
Bangalore. Documentaries made by BBC ,UTV,
MTV, and ZEE TV
Dabbawalla services are popular with theIndian IT developer community in Silicon
Valley , California , USA
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HISTORY OF WIPRO
Wipro started as a vegetable oil company in
1947 from an old mill founded by Azim Premji's
father. At that time, it was valued at $2 million.
In 1977, when IBM was asked to leave India,
Wipro entered the information technology
sector. In 1979, Wipro began developing its owncomputers and in 1981, started selling the
finished product.
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Awards
Wipro become the first Indian it service provider
to be awarded gold level status in Microsofts
windows embedded partner program
Worlds first IT service company to use six
sigma.
Wipro technologies winner of Indian MAKE
(Most Admired Knowledge Enterprise)Awards2008
Wipro wins international institute for software
testings software testing best practice award.
06/08/09 WIPRO
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Six Sigma
It is the first company in India to adopt the SixSigma TQM methodology for continuousimprovement and eliminate defect and cycletime reduction.
Six Sigma program spreads right across verticalsand impacts multiple areas such as projectmanagement, market development and resourceutilization.
Its has over 3350 employees trained in Six
Sigma with 120 certified black belts . It has 500 ongoing Six Sigma projects and the
expected financial return is 10% of PBT06/08/09 WIPRO.
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Process Control
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PROCESS CONTROL
FUNDAMENTALS NOMINAL VALUE : Desired average
SECIFICATION LIMITS :Tolerances allowed
ULS and LSL
PROCESS AVERAGE :Central line
CONTROL LIMITS : ULC and LCL
UCL= Process Average + 3LCL = Process Average - 3
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CHOOSE THECHARACTERISTIC FORPROCESS CONTROL
CHOOSE THEMEAUREMENT METHOD
CHOOSE ANAPPROPRIATE
SAMPLING PROCEDURE
CHOOSE THE TYPE OFCONTROL CHART
CALCULATE THECONTROL LIMITS
PLOT THE DATA ANDANALYSIS
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SETTING UP A PROCESS
CONTROL SYSTEM
Choose the characteristic for Process Control
Know the aspect of the process that needs to be
monitored and controlled.
Ease of measurement and measurementcharacteristics need to be considered.
Choose the Measurement MethodAttribute based measurement
Variable based mesurement
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Choose an Appropriate Sampling Procedure
It involves deciding on
Size of each sample or sub group (n)
The number of such samples to be taken (m)
Choose the Type of Control Chart
It is available for both attributes measures andvariable measures.
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Compute the Controls Limit
Compute relevant parameters for the control
charts.
X chartR chart
C chart
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X chart
Process average or central line,
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C Chart
Process average or central line ,c =cm
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Plot the data and analyse it
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Process Improvements in LongRun Process Capability Potential Capability
Actual Capability
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