A Systemic Strategy for Optimizing Manufacturing Operations Power Point Presentation

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    AA systemicsystemic Strategy forStrategy foroptimizing manufacturingoptimizing manufacturing

    operationsoperations

    Presented ByPresented By

    HANUMANTHARAJU .LHANUMANTHARAJU .L

    1BM05IM0151BM05IM015

    dept. of IEM,dept. of IEM,

    BMSCEBMSCE

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    Optimizing the ManufacturingOptimizing the Manufacturing

    ProcessProcess IntroductionIntroduction

    Definition of marketing excellenceDefinition of marketing excellence

    Five basic Objectives of ManufacturingFive basic Objectives of ManufacturingExcellenceExcellence

    1.Match through out1.Match through out with demandwith demand

    2.Reduce2.Reduce inventoryinventory

    3.Maintain3.Maintain high qualityhigh quality through outthrough out thethe

    operationoperation

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    Objectives of manufacturingObjectives of manufacturing

    excellenceexcellence4.Reduce4.Reduce lead timeslead times

    5.Reduce5.Reduce operating expensesoperating expenses

    Strategy for improvement opportunitiesStrategy for improvement opportunities

    Asset Utilization (AU)Asset Utilization (AU)

    Optimization frameworkOptimization framework

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    Polymer sheet formationPolymer sheet formation

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    Polymer sheet formationPolymer sheet formation

    Taken as a case studyTaken as a case study

    Teams of improvement activitiesTeams of improvement activities

    Method of formation of the polymer sheetMethod of formation of the polymer sheet

    The teams consists of engineers, workingThe teams consists of engineers, working

    people within the polymer operationpeople within the polymer operation

    Manufacturing process is an art and not aManufacturing process is an art and not asciencescience

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    Asset Utilization (AU)Asset Utilization (AU)

    Process for identifying and quantifyingProcess for identifying and quantifying

    opportunities for improvementopportunities for improvement

    Goal not to have 100% AUGoal not to have 100% AU Key manufacturing productivity parametersKey manufacturing productivity parameters

    %Availability, %Run time efficiency, %Run%Availability, %Run time efficiency, %Run

    speed efficiency, %yieldspeed efficiency, %yield

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    Productivity parametersProductivity parameters

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    AU definitionsAU definitions

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    Guide lines for AU implementationGuide lines for AU implementation

    Guide lines for implementing AssetGuide lines for implementing Asset

    UtilizationUtilization

    3 main guidelines3 main guidelines

    Drive towards predictable equipmentDrive towards predictable equipment

    Focus on increasing AU of capacityFocus on increasing AU of capacity

    constrained equipmentconstrained equipment Not to drive AU to 100%Not to drive AU to 100%

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    Process Optimization FrameworkProcess Optimization Framework

    To increase productTo increase product qualityquality

    it Consistsit Consists of two partsof two parts Three parallel activitiesThree parallel activities

    Examines the cause and effect relationshipExamines the cause and effect relationship

    b/wb/w casting process conditions and resultingcasting process conditions and resulting

    sheetsheet productproduct attributesattributes

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    Flow diagram of casting processFlow diagram of casting process

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    Parallel activities of optimizationParallel activities of optimization

    frameworkframework

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    Results and DiscussionsResults and Discussions

    AU analysis for a set of polymer m/csAU analysis for a set of polymer m/cs

    MostMost of the downtimeof the downtime due to unscheduleddue to unscheduled

    maintenancemaintenance m/cs were run at lower speeds instead ofm/cs were run at lower speeds instead of

    higherhigher speedsspeeds

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    M/cM/c AvailaAvaila

    bilitybility

    RunRun

    timetimeeffcy,%effcy,%

    RunRun

    speedspeedeffcy,%effcy,%

    Yield,Yield,

    %%

    AU,%AU,%

    CC 7878 9696 7575 6868 3838

    DD 9595 9999 8888 8080 6666

    FF 6464 9595 7474 6969 3131

    GG 9595 9898 8484 8585 6666

    HH 8181 9696 9191 7272 5151II 9393 9898 8585 7979 6161

    MM 8686 9797 8585 8181 5757

    OO 9797 9999 7979 8585 6464

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    Process Optimization FrameworkProcess Optimization Framework

    Knowledge and experienceKnowledge and experience

    Most common undesirable conditionMost common undesirable condition--

    widthwise thickness variabilitywidthwise thickness variability Main techniqueMain technique-- fault tree diagramsfault tree diagrams

    Brainstorming sessionsBrainstorming sessions

    Process by which these diagrams areProcess by which these diagrams aregenerated are important for capturinggenerated are important for capturingknowledge opinions of the experiencedknowledge opinions of the experiencedpersonnelpersonnel

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    Second activitySecond activity

    Statistical ToolsStatistical Tools

    Goal of this second parallel activity is toGoal of this second parallel activity is to

    obtain a predictive modelobtain a predictive model These are made from the preThese are made from the pre--existing dataexisting data

    inputs the prediction models are then testedinputs the prediction models are then tested

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    Third ActivityThird Activity

    OrderOf Magnitude TheoreticalOrderOf Magnitude Theoretical

    CalculationsCalculations

    Used to examine the effects of changingUsed to examine the effects of changingpolymer temperature and viscosity.polymer temperature and viscosity.

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    Designed screening experimentDesigned screening experiment

    Experiment designed to examine the castingExperiment designed to examine the casting

    processprocess--sheet thickness profile relationshipssheet thickness profile relationships

    to verify the casting functions, distribute flowto verify the casting functions, distribute flowshape catenaryshape catenary

    limited use of this methodlimited use of this method

    Production lossesProduction losses

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    Thickness profiles for thermalThickness profiles for thermal

    experimental conditionsexperimental conditions

    4 experiments4 experiments

    Polymer temperature and hopperPolymer temperature and hopper

    temperature are variedtemperature are varied 2 experiments are conducted with polymer2 experiments are conducted with polymer

    temperature greater than hoppertemperature greater than hopper

    temperaturetemperature Other two with polymer temperature lessOther two with polymer temperature less

    than hopper temperaturethan hopper temperature

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    Thickness profilesThickness profiles

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    Tagucchi methodTagucchi method

    major points of his quality philosophymajor points of his quality philosophy

    In a competitive market environment,In a competitive market environment,

    continual quality improvements and costcontinual quality improvements and costreductions are necessary for businessreductions are necessary for business

    survivalsurvival

    An important measurement of the quality ofAn important measurement of the quality ofa manufactured product is the total lossa manufactured product is the total loss

    generated by that product to the society.generated by that product to the society.

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    Change the preChange the pre--production experimentalproduction experimental

    procedure from varying one factor at a timeprocedure from varying one factor at a time

    to varying many factors simultaneouslyto varying many factors simultaneously(SDE) , so that quality can be built into the(SDE) , so that quality can be built into the

    product and the process.product and the process.

    definition of quality from "achievingdefinition of quality from "achieving

    conformance to specifications" to "achievingconformance to specifications" to "achieving

    the target and minimizing the variabilitythe target and minimizing the variability

    objectivesobjectives

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    Highlights, Accomplishments, andHighlights, Accomplishments, and

    RecommendationsRecommendations

    Capacity gained through the AU processCapacity gained through the AU process

    AU+Process optimization frameworkAU+Process optimization framework

    Development of the predictive modelDevelopment of the predictive model--establishes the relationship betweenestablishes the relationship between

    processprocess--product relationshipproduct relationship

    Additional work and activitiesAdditional work and activities Applying the manufacturing optimizationApplying the manufacturing optimization

    strategy to other manufacturing processesstrategy to other manufacturing processes

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    MachineMachine Curr. yieldCurr. yield YieldYield

    improvemimprovem

    entent

    CapacityCapacity

    gaingain

    CC 6868 8585 1717

    DD 8080 8585 55

    FF 6969 8585 1616

    GG 8585

    HH 7272 8585 1313

    II 7979 8585 66

    MM 8181 8585 44

    OO8585

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    AU as a driver for improvementAU as a driver for improvement

    activitiesactivities

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    CONCLUSIONCONCLUSION

    This strategy can be used for otherThis strategy can be used for other

    manufacturing operations too.manufacturing operations too.