example for six sigma( indian example)

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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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