6 Sigma Ppt1

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    Six Sigma

    (A Strategy for Achieving World ClassPerformance)

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    Purpose of Presentation

    Share concepts and application of SixSigma with a case study;

    Deployment of Six Sigma as a strategyto achieve World Class Performance;

    Integration of Six Sigma with EF!

    framewor";#essons #earnt

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    World Class Performance

    With $$ %uality

    With Six Sigmauality

    For every &'''''letters delivered

    &(''' misdeliveries ) misdelivery

    For every wee" of *+,roadcasting perchannel

    )-./ hours of dead air )-/ seconds of deadair 

    0ut of every 1''('''

    computer restarts

    2)'' crashes #ess than 3 crashes

    Source: The Six Sigma Way by Peter Pande and Others

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    4ased on teachings of Dr- Walter Shewhart(Dr- W- E- Deming 5 Dr- 6- 6uran-• Process Control;

    • Plan Do Chec" 7ct;

    • Common and Special Causes;

    • Improvement can ,e done pro8ect ,y pro8ect

    • Statistical tools

    9awthorne Plant ExperiencesDeveloped ,y 4ill Smith at !otorola in )$/'s

    What is Six Sigma :

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    What Is Six Sigma:

    • Degree of variation;• #evel of performance in terms of

    defects;• Statistical measurement of process

    capa,ility;• 4enchmar" for comparison;• Process improvement methodology;• It is a oal;• Strategy for change;•  7 commitment to customers to achieve

    an accepta,le level of performance

     

    Sigma is a letter

    in the Greek

    Alphabet

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    Six Sigma Definitions

    4usiness Definition 7 ,rea" through strategy to significantly

    improve customer satisfaction andshareholder value ,y reducing varia,ility inevery aspect of ,usiness-

    *echnical Definition

     7 statistical term signifying 3.4 defects permillion opportunities-

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    Sigma

    Level

    Defects Per Million

    Opportunities

    Rate of

    mprovement

    1 6!"#"""

    2 3"$#""" 2 times

    3 66#$"" 5 times

    4 6#21" 11 times

    5 23" 27 times

    6 3%4 6$ times

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    $

    4an" of 7merica < SS Experience

    &oals – ' 1 in (ustomer Satisfaction –

    )orl*s+ most a*mire* compan, – )orl*s+ largest -an. 

    Strateg, / 0 Develop -usiness process ecellence -, appl,ing voice of te customer to i*entif, an*

    engineer critical fe -usiness processes using SiSigma(reate* ualit, Pro*uctivit, Division

    Source: Best Practices Report 

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    4an" of 7merica < SS Experience

    )ante* results in 1 ,ear ire* more tan 225 M88 88s from &9# Motorola#

    :llie* Signal for rapi* *eplo,ment Develope* 2 ee. &reen 8elt training programs ntro*uce* computer simulation of processes ;raine* 3767 &reen 8elts# certifie* 123" / Minimum value

    target per &8 pro 25"?  ;raine* 3"5 8lac. 8elts# certifie* 61 / Minimum value

    target per 88 pro 1 million ;raine* 43 M88# 1"17 in D@SS $" A of 9ecutive ;eam traine* in &8 an* 5" A (ertifie*

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    4an" of 7merica < SS Experience

    Results of first 2 ,earsBRe*uce* :;M it*raal losses -, 2!%7 ARe*uce* counterfeit losses in nationi*e cas

    vaults -, 54A(ustomer *eligt up 2"A:**e* 2%3 million customer ouseol*s 1%3 million feer customer ouseol*s

    eperience* pro-lemsStoc. value up 52AC 2""2 = 8O: name* 8est 8an. in S 9uro

    mone,Es )orl*s Most mprove* 8an. 

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    9igh #evel 4usiness !etrics

    0perating #evel !etrics

    •  =evenue•

     Capital >tili?ation•  =eturn on 7ssets•  Profits

    •  uote *ime•  Defect =ate•  Waste•  0n *ime Delivery•  Inventory;•  !achine >tili?ation

    Strategically@ >sed ,y #eadership as a vehicle to developsustaina,le culture of Customer( uality( +alue and Continuousimprovement-

    0perationally@ 4y uality !anagers to reduce cycle times( costs(errors( rewor"( inventory( eAuipment downtime-

    Deployment across all types of processes and industries -worldwide

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    Six Sigma & EFQM/ DQA Framework

    es!lts

    "nno#ation an$ %earning

    Eno!raging

    & enabling people

    'o partiipate in

    "mpro#ement

    (ersonall)

    ati#el)

    "n#ol#e$ in

    impro#ement

    eogni*ing

    "n$i#i$!al &'eam e++ort

    "$enti+)ing &$esigning

     proesses to $eli#er 

    strateg)

    De#eloping

    'eam skills

    Aligning

    "n$i#i$!al &

    ,rgani*ation

    Goals

    eogni*ing

    (eopleEstablishing

    (roess

    management

    S)stem to be

    !se$

    "mplementing

    (roess

    Meas!res

    "mpro#ing

    proesses

    to satis+) an$

    Generate #al!eFor !stomers

    Deli#er)-

    al!e-

    reliabilit)

    ep!rhase

    satis+ation

    esponse

    'ime to

    !stomers

    'ime to

    Market

    Satis+ation

    "n#ol#ementeognition

    ompeten)

    (ro$!ti#it)

    >tilityconsumption*imelinessInventory

    (roess )le time

    (roess osts

    De+et rates

    (ro$!ti#it)

    ash +low

    Maintenane ost

    et!rn on assets

    Gross margins

    0et pro+it

    Sales

    Market Share

    %ea$ership

    (oli) & Strateg)

    (eople

    (roesses

    (eople

    es!lts

    Society

    Results(artnerships

    eso!res

    1e) (er+ 

    es!lts

    Customer Results

    Enablers

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    Who is Implementing Six Sigma

     7t least 31% of the fortune 3'' claim tohave a serious six sigma program B MichaelHammer.

    Financial B 4an" of 7merica( E Capital(Electronics B 7llied Signal( Samsung(

    SonyChemicals B Dupont( Dow Chemicals!anufacturing B E Plastics( 6ohnson

    and 6ohnson( !otorola( o"ia(

    !icrosoft( Ford- 7irline B Singapore( #ufthansa(4om,ardier 

     7nd hundreds of others in 7mericas(Europe( Su, Continent-

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    Six Sigma =esults

    ompan) Ann!al Sa#ings

    eneral Electric 3-' ,illion

    6P !organ Chase )-1 ,illion Gsince inception in)$$/H

    !otorola ). ,illionGsince inception in )$/'sH

    6ohnson 5 6ohnson 1'' million

    9oneywell .'' million

    Six Sigma Savings as % of revenue vary from 2. to 4. 5For &' millionyr sales < Savings potential &.'(''' to )-&1 million-

    Investment@ salary of in house experts( training( process

    redesign-

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    Six Sigma Pro8ect !ethodology

    ontrolontrolDe+ineDe+ine Meas!reMeas!re Anal)*eAnal)*e "mpro#e"mpro#e

    Establishstandards

    to maintainprocess;

    Design thecontrols,implementandmonitor.

    Evaluatefnancialimpact othe project

    Identiy,evaluate

    and selectprojects orimprovement

    Set goalsForm

    teams.

    ollectdata on

    si!e o theselectedproblem,

    identiy"eycustomerre#uirements,

    Determine"eyproductandprocesscharacteristic.

    $naly!edata,

    establishandconfrm the% vital e&%determinants o theperormance.

    'alidatehypothesis

    Improvement strategy

    Developideas toremoveroot causes

    Design andcarry oute(periments,

    )ptimi!etheprocess.

    Finalsolutions

    (ro6et (hases

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    Six Sigma < Case StudyService 0rganisation

    4ac"ground

    !s 7lpha Inc- manages out ,ound cargo froma distri,ution centre to different stores-

    Deliveries made on truc"s B owned and hired- Customers dissatisfied at delivery schedules- #eadership decision to deploy Six Sigma; *eam of ) 4lac" 4elt and & reen 4elts

    formed Sponsor of the pro8ect < Distri,ution !anager 

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    Define B Critical to uality GC*H

    Focus on customers generating annualrevenue of >SD 2''('''B-

    Customerneeds

    Improved deliveryperformance

    #evel ) C* *imely delivery

    #evel 3 C* 0n time delivery to schedule

    #evel & C* Delivery within B ) hour ofscheduled delivery time

    Current process sigma level - 2.4 or !"#$$% &P'

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    Define B oal Statement

    =educe num,er of delayed deliveries ,y1' % ,y &)st Decem,er J 3''3 to

    ,etter meet customer reAuirement oftimely delivery defined as within B )hour of scheduled delivery-

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    Define B Performance Standards0utput unit  7 scheduled delivery of freight

    0utputcharacteristic

    *imely delivery

    Pro8ect J measure Process starts when an order is received

    Ends when goods are received 5 signedfor at customers des"-

    Process measurement < Deviation fromscheduled delivery time in minutes-

    Specification limits #S# K B.' minutes

    >S#K .' minutes

    *arget Scheduled time or ?ero minutesdeviation

    Defect Delivery earlier or later than ) hour-

    o- of defectopportunities per

    unit

    ) opportunity for a defect per scheduleddelivery of freight-

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    Define B SIP0C Diagram

    Supplier  Stores !anager "nput Stores 0rder 

    (rocess StepsGhigh levelH

    =eceive order 

    Plan delivery

    Dispatch Driver with goods

    Deliver goods to stores

    =eceive delivery

    ,utput =eceived freight withDocuments

    ustomer  Store !anager 

    •  Detailed process maps drawn

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    !easure and 7naly?e

    Driver and Distance identified as "eyfactors influencing delivery performance-

    Driver selected for focus-

    Potential root causes as to why Driverinfluenced the time@ – Si?e of the vehicle – *ype of engine – *ype of tyres – Fuel capacity

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    Experiments designed and conductedusing truc" type and tyre si?e-

    Findings@ – #arger tyres too" longer time at certain

    routes where area was cramped and timelost in maneuvering-

     – 9igh incidence of tyre failures since tightturns led to stress on tyres thus increasingnum,er of flat tyres-

    *eam modified planning of dispatchprocess ,y routing smaller truc"s atmore restrictive areas-

    Improve

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    *est implementation-Process sigma level up from 3-2& or

    )L1//$ DP!0 to 3.74 or 833 DP!0-Performance still fell short of ,est in class

    2-&3 or 32'' DP!0- Improvement led to significant customersatisfaction-

    Process continually monitored and data onnew cycle times( tyre failure collected asper defined methods and freAuency(analysed and monitored-

    Customer satisfaction measured andmonitored-

    Control 

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    Mey #essons #earnt

    Define – Difficulty in identifying the right pro8ect anddefining the scope;

     – Difficulty in applying statistical parameters

    to +oice of the Customers; – *rou,le with setting the right goals;

    !easure – Inefficient data gathering; – #ac" of measures; – #ac" of speed in execution;

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    Mey #essons #earnt

    Anal)se

     – Challenge of identifying ,est practices – 0veruse of statistical tools under use of practical

    "nowledge – Challenge of developing hypotheses

    "mpro#e – Challenge of developing ideas to remove rootcauses

     – Difficulty of implementing solutions  ontrol

     – #ac" of follow up ,y !anagers Process 0wners – #ac" of continuous +oice of the Customer

    feed,ac" – Failure to institutionali?e continuous improvement-

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    Mey #essons #earnt

    N Define N ran"ed most important step ,utgets the lowest resource allocation

    Pro8ect scoping and its definition is critical toits success failure; N!easureO is considered most difficult step

    and also gets the highest resources

    Source *reen+ich Associates Study , 22 

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    +ersatile 4rea"through improvements Financial results focus Process focus Structured 5 disciplined pro,lem solving

    methodology using scientific tools and techniAues Customer centered Involvement of leadership is mandatory- *raining is mandatory; 7ction learning G31% class room( L1 %

    applicationH Creating a dedicated organisation for pro,lem

    solving G/11' =uleH-

    What !a"es Six Sigma Different:

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    4enefits of Six Sigma

    enerates sustained success

    Sets performance goal for everyone

    Enhances value for customers; 7ccelerates rate of improvement;Promotes learning across ,oundaries;

    Executes strategic change

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    2!

    Thank you