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Operations Management, Compelte Slides,Supply chain Management

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    Operations Management

    Operations Management

    ChapterChapter 11--1717

    Roberta Russell & Bernard W. Taylor, IIIRoberta Russell & Bernard W. Taylor, III

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    Organization of This Text:Organization of This Text:Part IPart I Operations ManagementOperations Management

    Intro. to Operations andIntro. to Operations andSupply Chain Management:Supply Chain Management: ChapterChapter 1 (Slide 5)1 (Slide 5)

    Quality Management:Quality Management: ChapterChapter 22 (Slide(Slide 67)67)

    11--22

    tat st ca ua ty ontro :tat st ca ua ty ontro : apterapter 33 ee 2020 Product Design:Product Design: ChapterChapter 44 (Slide(Slide 186)186)

    Service Design:Service Design: ChapterChapter 55 (Slide(Slide 231)231)

    Processes and Technology:Processes and Technology: ChapterChapter 66 (Slide(Slide 276)276)

    Facilities:Facilities: ChapterChapter 77 (Slide(Slide 321)321)

    Human Resources:Human Resources: ChapterChapter 88 (Slide(Slide 402)402)

    Project Management:Project Management: ChapterChapter 99 (Slide(Slide 450)450)

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    Supply ChainSupply ChainStrategy and Design:Strategy and Design: ChapterChapter 10 (Slide 507)10 (Slide 507)

    Global Supply ChainGlobal Supply Chain

    Organization of This Text:Organization of This Text:Part IIPart II Supply Chain ManagementSupply Chain Management

    11--33

    rocurement an str ut on:rocurement an str ut on: apterapter ee 33 Forecasting:Forecasting: ChapterChapter 1212 (Slide(Slide 575)575)

    Inventory Management:Inventory Management: ChapterChapter 1313 (Slide(Slide 641)641)

    Sales andSales and

    Operations Planning:Operations Planning: ChapterChapter 1414 (Slide(Slide 703)703)

    Resource Planning:Resource Planning: ChapterChapter 1515 (Slide(Slide 767)767)

    Lean Systems:Lean Systems: ChapterChapter 1616 (Slide(Slide 827)827)

    Scheduling:Scheduling: ChapterChapter 1717 (Slide(Slide 878)878)

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    Introduction to Operations andIntroduction to Operations andSu l Chain Mana ementSu l Chain Mana ement

    Chapter 1Chapter 1

    Operations ManagementOperations Management

    Roberta Russell & Bernard W. Taylor, IIIRoberta Russell & Bernard W. Taylor, III

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    Lecture OutlineLecture Outline

    What Operations and Supply ChainWhat Operations and Supply ChainManagers DoManagers Do

    11--66

    Evolution of Operations and Supply ChainEvolution of Operations and Supply ChainManagementManagement

    Globalization and CompetitivenessGlobalization and Competitiveness

    OperationsOperations Strategy and Organization of the TextStrategy and Organization of the Text Learning Objectives for This CourseLearning Objectives for This Course

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    What Operations andWhat Operations andSupply Chain Managers DoSupply Chain Managers Do

    What is Operations Management?What is Operations Management? design, operation, and improvement of productivedesign, operation, and improvement of productive

    systemssystems

    11--77

    a function or system that transforms inputs into outputs ofa function or system that transforms inputs into outputs of

    greater valuegreater value

    What is a Transformation Process?What is a Transformation Process? a series of activities along aa series of activities along a value chainvalue chainextending fromextending from

    supplier to customersupplier to customer

    activities that do not add value are superfluous andactivities that do not add value are superfluous andshould be eliminatedshould be eliminated

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    Physical:Physical:as in manufacturing operationsas in manufacturing operations

    Locational:Locational:as in transportation oras in transportation or

    Transformation ProcessTransformation Process

    11--88

    ware ouse opera onsware ouse opera ons Exchange:Exchange:as in retail operationsas in retail operations

    Physiological:Physiological:as in health careas in health care

    Psychological:Psychological:as in entertainmentas in entertainment Informational:Informational:as in communicationas in communication

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    INPUT

    Operations as aOperations as aTransformation ProcessTransformation Process

    11--99

    MachinesLaborManagementCapital

    TRANSFORMATIONPROCESS

    OUTPUTGoodsServices

    Feedback & RequirementsFeedback & Requirements

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    Operations FunctionOperations Function

    OperationsOperations

    MarketingMarketing

    11--1010

    nance annance anAccountingAccounting

    HumanHuman

    ResourcesResources OutsideOutside

    SuppliersSuppliers

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    How is Operations Relevant to myHow is Operations Relevant to myMajor?Major?

    AccountingAccounting As an auditor you mustAs an auditor you must

    understand the fundamentals ofunderstand the fundamentals ofoperations management.operations management.

    11--1111

    InformationInformationTechnologyTechnology

    ManagementManagement

    IT is a tool, and theres no betterIT is a tool, and theres no betterplace to apply it than inplace to apply it than inoperations.operations.

    We use so many things youWe use so many things youlearn in an operations classlearn in an operations classscheduling, lean production,scheduling, lean production,theory of constraints, and tons oftheory of constraints, and tons of

    quality tools.quality tools.

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    How is Operations Relevant to myHow is Operations Relevant to myMajor? (cont.)Major? (cont.)

    EconomicsEconomics Its all about processes. I liveIts all about processes. I liveby flowcharts and Paretoby flowcharts and Paretoanalysis.analysis.

    11--1212

    ar e ngar e ng

    FinanceFinance

    w y uw y umarketing a product if youremarketing a product if youreunsure of its quality or deliveryunsure of its quality or deliverystatus?status?

    Most of our capital budgetingMost of our capital budgetingrequests are from operations,requests are from operations,and most of our cost savings,and most of our cost savings,too.too.

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    Evolution of Operations andEvolution of Operations andSupply Chain ManagementSupply Chain Management

    Craft productionCraft production process of handcrafting products orprocess of handcrafting products or

    services for individual customersservices for individual customers

    11--1313

    dividing a job into a series of small tasksdividing a job into a series of small taskseach performed by a different workereach performed by a different worker

    Interchangeable partsInterchangeable parts standardization of parts initially asstandardization of parts initially asreplacement parts; enabled massreplacement parts; enabled mass

    productionproduction

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    Scientific managementScientific management

    systematic analysis of work methodssystematic analysis of work methods

    Evolution of Operations andEvolution of Operations andSupply Chain Management (cont.)Supply Chain Management (cont.)

    11--1414

    Mass productionMass production highhigh--volume production of a standardizedvolume production of a standardized

    product for a mass marketproduct for a mass market

    Lean productionLean production adaptation of mass production that prizesadaptation of mass production that prizes

    quality and flexibilityquality and flexibility

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    Historical Events inHistorical Events inOperations ManagementOperations Management

    Era Events/Concepts Dates Originator

    IndustrialSteam engine 1769 James Watt

    Division of labor 1776 Adam Smith

    11--1515

    Interchangeable parts 1790 Eli Whitney

    Scientific

    Management

    Principles of scientific

    management1911 Frederick W. Taylor

    Time and motion studies 1911Frank and LillianGilbreth

    Activity scheduling chart 1912 Henry Gantt

    Moving assembly line 1913 Henry Ford

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    Historical Events inHistorical Events inOperations ManagementOperations Management (cont.)(cont.)

    Era Events/Concepts Dates Originator

    Human

    Hawthorne studies 1930 Elton Mayo

    1940s Abraham Maslow

    11--1616

    1960s Douglas McGregor

    OperationsResearch

    Linear programming 1947 George Dantzig

    Digital computer 1951 Remington RandSimulation, waiting

    line theory, decision

    theory, PERT/CPM

    1950s Operations researchgroups

    MRP, EDI, EFT, CIM1960s,1970s

    Joseph Orlicky, IBM

    and others

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    Historical Events inHistorical Events inOperations ManagementOperations Management (cont.)(cont.)

    Era Events/Concepts Dates OriginatorJIT (just-in-time) 1970s Taiichi Ohno (Toyota)TQM (total quality W. Edwards Deming,

    11--1717

    Quality

    Revolution

    management) Joseph JuranStrategy and

    operations1980s

    Wickham Skinner,

    Robert Hayes

    Business process

    reengineering

    1990sMichael Hammer,

    James ChampySix Sigma 1990s GE, Motorola

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    Historical Events inHistorical Events inOperations ManagementOperations Management (cont.)(cont.)

    Era Events/Concepts Dates OriginatorInternetRevolution

    Internet, WWW, ERP,supply chain management

    1990s ARPANET, Tim

    Berners-Lee SAP,

    11--1818

    ec no og es,

    ORACLEE-commerce 2000s Amazon, Yahoo,

    eBay, Google, andothers

    Globalization WTO, European Union,and other tradeagreements, global supplychains, outsourcing, BPO,

    Services Science

    1990s

    2000s

    Numerous countries

    and companies

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    Evolution of Operations andEvolution of Operations andSupply Chain Management (cont.)Supply Chain Management (cont.)

    Supply chain managementSupply chain management management of the flow of information, products, and services acrossmanagement of the flow of information, products, and services across

    a network of customers, enterprises, and supply chain partnersa network of customers, enterprises, and supply chain partners

    11--1919

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    Globalization andGlobalization andCompetitivenessCompetitiveness

    Why go global?Why go global? favorable costfavorable cost

    access to international marketsaccess to international markets

    11--2020

    response to changes in demandresponse to changes in demand reliable sources of supplyreliable sources of supply

    latest trends and technologieslatest trends and technologies

    Increased globalizationIncreased globalization results from the Internet and falling traderesults from the Internet and falling trade

    barriersbarriers

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    Globalization andGlobalization andCompetitiveness (cont.)Competitiveness (cont.)

    11--2121

    Hourly Compensation Costs for Production WorkersHourly Compensation Costs for Production Workers

    Source:Source:U.S. Bureau of Labor Statistics, 2005.U.S. Bureau of Labor Statistics, 2005.

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    Globalization andGlobalization andCompetitiveness (cont.)Competitiveness (cont.)

    11--2222

    World Population DistributionWorld Population Distribution

    Source:Source:U.S. Census Bureau, 2006.U.S. Census Bureau, 2006.

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    Globalization andGlobalization andCompetitiveness (cont.)Competitiveness (cont.)

    11--2323

    Trade in Goods as % of GDPTrade in Goods as % of GDP

    (sum of merchandise exports and imports divided by GDP, valued in U.S. dollars)(sum of merchandise exports and imports divided by GDP, valued in U.S. dollars)

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    Productivity andProductivity andCompetitivenessCompetitiveness

    CompetitivenessCompetitiveness degree to which a nation can produce goods anddegree to which a nation can produce goods and

    services that meet the test of internationalservices that meet the test of internationalmarketsmarkets

    11--2424

    ro uct v tyro uct v ty ratio of output to inputratio of output to input OutputOutput

    sales made, products produced, customerssales made, products produced, customersserved, meals delivered, or calls answeredserved, meals delivered, or calls answered

    InputInput labor hours, investment in equipment, materiallabor hours, investment in equipment, material

    usage, or square footageusage, or square footage

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    Productivity andProductivity andCompetitiveness (cont.)Competitiveness (cont.)

    11--2525

    Measures of Productivity

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    Productivity andProductivity andCompetitiveness (cont.)Competitiveness (cont.)

    11--2626

    Average Annual Growth Rates in Productivity, 1995Average Annual Growth Rates in Productivity, 1995--2005.2005.Source:Source:Bureau of Labor Statistics. A Chartbook ofBureau of Labor Statistics. A Chartbook of

    International Labor Comparisons. January 2007, p. 28.International Labor Comparisons. January 2007, p. 28.

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    Productivity andProductivity andCompetitiveness (cont.)Competitiveness (cont.)

    11--2727

    Average Annual Growth Rates in Output and Input, 1995Average Annual Growth Rates in Output and Input, 1995--20052005

    Source:Source:Bureau of Labor Statistics. A Chartbook of InternationalBureau of Labor Statistics. A Chartbook of International

    Labor Comparisons, January 2007, p. 26.Labor Comparisons, January 2007, p. 26.

    Dramatic Increase inOutput w/ Decrease in

    Labor Hours

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    RetrenchingRetrenching productivity is increasing, but both output and inputproductivity is increasing, but both output and input

    decrease with in ut decreasin at a faster ratedecrease with in ut decreasin at a faster rate

    Productivity andProductivity andCompetitiveness (cont.)Competitiveness (cont.)

    11--2828

    Assumption that more input would causeAssumption that more input would causeoutput to increase at the same rateoutput to increase at the same rate

    certain limits to the amount of output may not becertain limits to the amount of output may not be

    consideredconsidered output producedoutput producedis emphasized, notis emphasized, not output soldoutput sold;;

    increased inventoriesincreased inventories

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    StrategyStrategy Provides direction for achieving a missionProvides direction for achieving a mission

    Five Steps for Strategy FormulationFive Steps for Strategy Formulation

    Strategy and OperationsStrategy and Operations

    11--2929

    Defining a primary taskDefining a primary task What is the firm in the business of doing?What is the firm in the business of doing?

    Assessing core competenciesAssessing core competencies What does the firm do better than anyone else?What does the firm do better than anyone else?

    Determining order winners and order qualifiersDetermining order winners and order qualifiers

    What qualifies an item to be considered for purchase?What qualifies an item to be considered for purchase? What wins the order?What wins the order?

    Positioning the firmPositioning the firm How will the firm compete?How will the firm compete?

    Deploying the strategyDeploying the strategy

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    Strategic PlanningStrategic Planning

    Missionand Vision

    11--3030

    CorporateStrategy

    OperationsStrategy

    MarketingStrategy

    FinancialStrategy

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    Order WinnersOrder Winnersand Order Qualifiersand Order Qualifiers

    11--3131

    Source:Source:Adapted from Nigel Slack, Stuart Chambers, Robert Johnston, and AlanAdapted from Nigel Slack, Stuart Chambers, Robert Johnston, and AlanBetts,Betts, Operations and Process ManagementOperations and Process Management, Prentice Hall, 2006, p. 47, Prentice Hall, 2006, p. 47

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    Positioning the FirmPositioning the Firm

    CostCost

    SpeedSpeed

    11--3232

    ua yua y

    FlexibilityFlexibility

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    Positioning the Firm:Positioning the Firm:CostCost

    Waste eliminationWaste elimination relentlessly pursuing the removal of all wasterelentlessly pursuing the removal of all waste

    11--3333

    looking at the entire cost structure forlooking at the entire cost structure for

    reduction potentialreduction potential

    Lean productionLean production providing low costs through disciplinedproviding low costs through disciplined

    operationsoperations

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    Positioning the Firm:Positioning the Firm:SpeedSpeed

    fast moves, fast adaptations, tight linkagesfast moves, fast adaptations, tight linkages InternetInternet

    conditioned customers to expect immediate responsesconditioned customers to expect immediate responses

    11--3434

    always competed on speed (McDonalds, LensCrafters, andalways competed on speed (McDonalds, LensCrafters, and

    Federal Express)Federal Express)

    ManufacturersManufacturers timetime--based competition: buildbased competition: build--toto--order production andorder production and

    efficient supply chainsefficient supply chains

    Fashion industryFashion industry twotwo--week designweek design--toto--rack lead time of Spanish retailer, Zararack lead time of Spanish retailer, Zara

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    Positioning the Firm:Positioning the Firm:QualityQuality

    Minimizing defect rates or conforming toMinimizing defect rates or conforming todesign specifications; please the customerdesign specifications; please the customer

    RitzRitz--CarltonCarlton -- one customer at a timeone customer at a time

    11--3535

    Service system is designed to move heavenService system is designed to move heavenand earth to satisfy customerand earth to satisfy customer

    Every employee is empowered to satisfy aEvery employee is empowered to satisfy aguests wishguests wish

    Teams at all levels set objectives and deviseTeams at all levels set objectives and devisequality action plansquality action plans

    Each hotel has a quality leaderEach hotel has a quality leader

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    Positioning the Firm:Positioning the Firm:FlexibilityFlexibility

    ability to adjust to changes in product mix,ability to adjust to changes in product mix,production volume, or designproduction volume, or design National Bicycle Industrial CompanyNational Bicycle Industrial Company

    11--3636

    offers 11,231,862 variationsoffers 11,231,862 variations delivers within two weeks at costs only 10%delivers within two weeks at costs only 10%

    above standard modelsabove standard models mass customizationmass customization: the mass production of: the mass production of

    customized partscustomized parts

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    Policy DeploymentPolicy Deployment

    Policy deploymentPolicy deployment translates corporate strategy into measurabletranslates corporate strategy into measurable

    ob ectivesob ectives

    11--3737

    HoshinsHoshins action plans generated from the policyaction plans generated from the policy

    deployment processdeployment process

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    Policy DeploymentPolicy Deployment

    11--3838Derivation of an Action Plan Using Policy DeploymentDerivation of an Action Plan Using Policy Deployment

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    Balanced ScorecardBalanced Scorecard

    Balanced scorecardBalanced scorecard measuring more than financial performancemeasuring more than financial performance

    financesfinances

    11--3939

    customerscustomers processesprocesses

    learning and growinglearning and growing

    Key performance indicatorsKey performance indicators a set of measures that help managers evaluatea set of measures that help managers evaluate

    performance in critical areasperformance in critical areas

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    Balanced ScorecardBalanced ScorecardBalancedBalanced Scorecard WorksheetScorecard Worksheet

    11--4040

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    Balanced ScorecardBalanced Scorecard

    11--4141

    Radar ChartRadar Chart DashboardDashboard

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    Operations StrategyOperations Strategy

    ProductsProducts

    ServicesServices ProcessProcess

    andand

    TechnologyTechnology

    11--4242

    CapacityCapacity

    HumanHuman

    ResourcesResources QualityQuality

    FacilitiesFacilities SourcingSourcing OperatingOperating

    SystemsSystems

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    Chapter 1 SupplementChapter 1 Supplement

    Decision AnalysisDecision Analysis

    OperationsOperations ManagementManagementOperationsOperations ManagementManagement

    Roberta Russell & Bernard W. Taylor, IIIRoberta Russell & Bernard W. Taylor, III

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    Lecture OutlineLecture Outline

    Decision AnalysisDecision Analysis

    Decision Making without ProbabilitiesDecision Making without Probabilities

    Supplement 1Supplement 1--4444

    Decision Analysis with ExcelDecision Analysis with Excel Decision Analysis with OM ToolsDecision Analysis with OM Tools

    Decision Making with ProbabilitiesDecision Making with Probabilities

    Expected Value of Perfect InformationExpected Value of Perfect Information Sequential Decision TreeSequential Decision Tree

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    Decision AnalysisDecision Analysis

    Quantitative methodsQuantitative methods a set of tools for operations managera set of tools for operations manager

    Supplement 1Supplement 1--4545

    a set of quantitative decisiona set of quantitative decision--makingmakingtechniques for decision situations in whichtechniques for decision situations in whichuncertainty existsuncertainty exists

    Example of an uncertain situationExample of an uncertain situation demand for a product may vary between 0 and 200demand for a product may vary between 0 and 200

    units, depending on the state of marketunits, depending on the state of market

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    Decision MakingDecision MakingWithout ProbabilitiesWithout Probabilities

    States of natureStates of nature Events that may occur in the futureEvents that may occur in the future

    Examples of states of nature:Examples of states of nature:

    Supplement 1Supplement 1--4646

    high or low demand for a producthigh or low demand for a product

    good or bad economic conditionsgood or bad economic conditions

    Decision making under riskDecision making under risk probabilities can be assigned to the occurrence ofprobabilities can be assigned to the occurrence of

    states of nature in the futurestates of nature in the future Decision making under uncertaintyDecision making under uncertainty

    probabilities can NOT be assigned to theprobabilities can NOT be assigned to theoccurrence of states of nature in the futureoccurrence of states of nature in the future

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    Payoff TablePayoff Table

    Payoff tablePayoff table method for organizing and illustrating payoffs from differentmethod for organizing and illustrating payoffs from different

    decisions given various states of naturedecisions given various states of nature

    PayoffPayoff

    Supplement 1Supplement 1--4747

    outcome of a decisionoutcome of a decision

    States Of NatureStates Of Nature

    DecisionDecision aa bb

    11 Payoff 1aPayoff 1a Payoff 1bPayoff 1b22 Payoff 2aPayoff 2a Payoff 2bPayoff 2b

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    Decision Making Criteria UnderDecision Making Criteria UnderUncertaintyUncertainty

    MaximaxMaximax choose decision with the maximum of thechoose decision with the maximum of the

    maximum payoffsmaximum payoffs

    Supplement 1Supplement 1--4848

    MaximinMaximin choose decision with the maximum of thechoose decision with the maximum of the

    minimum payoffsminimum payoffs

    Minimax regretMinimax regret choose decision with the minimum of thechoose decision with the minimum of the

    maximum regrets for each alternativemaximum regrets for each alternative

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    Decision Making Criteria UnderDecision Making Criteria UnderUncertainty (cont.)Uncertainty (cont.)

    HurwiczHurwicz choose decision in which decision payoffs arechoose decision in which decision payoffs are

    wei hted b coefficient of o timism l hwei hted b coefficient of o timism l h

    Supplement 1Supplement 1--4949

    coefficient of optimism is a measure of acoefficient of optimism is a measure of adecision makers optimism, fromdecision makers optimism, from 00(completely(completelypessimistic) topessimistic) to 11 (completely optimistic)(completely optimistic)

    Equal likelihood (La Place)Equal likelihood (La Place) choose decision in which each state of nature ischoose decision in which each state of nature is

    weighted equallyweighted equally

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    Southern TextileSouthern TextileCompanyCompany

    STATES OF NATURESTATES OF NATURE

    Supplement 1Supplement 1--5050

    Good ForeignGood Foreign Poor Foreign Poor Foreign

    DECISIONDECISION Competitive ConditionsCompetitive Conditions Competitive ConditionsCompetitive Conditions

    ExpandExpand $ 800,000$ 800,000 $ 500,000$ 500,000

    Maintain status quoMaintain status quo 1,300,0001,300,000 --150,000150,000

    Sell nowSell now 320,000320,000 320,000320,000

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    Maximax SolutionMaximax Solution

    STATES OF NATURESTATES OF NATURE

    Good ForeignGood Foreign Poor Foreign Poor Foreign

    DECISIONDECISION Competitive ConditionsCompetitive Conditions Competitive ConditionsCompetitive Conditions

    Ex andEx and $ 800 000$ 800 000 $ 500 000$ 500 000

    Supplement 1Supplement 1--5151

    Maintain status quoMaintain status quo 1,300,0001,300,000 --150,000150,000

    Sell nowSell now 320,000320,000 320,000320,000

    Expand:Expand: $800,000$800,000

    Status quo:Status quo: 1,300,0001,300,000 MaximumMaximumSell:Sell: 320,000320,000

    Decision: Maintain status quoDecision: Maintain status quo

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    Maximin SolutionMaximin SolutionSTATES OF NATURESTATES OF NATURE

    Good ForeignGood Foreign Poor Foreign Poor Foreign

    DECISIONDECISION Competitive ConditionsCompetitive Conditions Competitive ConditionsCompetitive Conditions

    Ex andEx and $ 800 000$ 800 000 $ 500 000$ 500 000

    Supplement 1Supplement 1--5252

    Maintain status quoMaintain status quo 1,300,0001,300,000 --150,000150,000

    Sell nowSell now 320,000320,000 320,000320,000

    Expand:Expand: $500,000$500,000 MaximumMaximum

    Status quo:Status quo: --150,000150,000

    Sell:Sell: 320,000320,000

    Decision: ExpandDecision: Expand

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    Minimax Regret SolutionMinimax Regret SolutionGood ForeignGood Foreign Poor ForeignPoor Foreign

    Competitive ConditionsCompetitive Conditions Competitive ConditionsCompetitive Conditions

    $1,300,000$1,300,000 -- 800,000 = 500,000800,000 = 500,000 $500,000$500,000 -- 500,000 = 0500,000 = 0

    Supplement 1Supplement 1--5353

    , ,, , -- , , =, , = ,, -- -- , = ,, = ,

    1,300,0001,300,000 -- 320,000 = 980,000320,000 = 980,000 500,000500,000 -- 320,000= 180,000320,000= 180,000

    Expand:Expand: $500,000$500,000 MinimumMinimum

    Status quo:Status quo: 650,000650,000

    Sell:Sell: 980,000980,000

    Decision: ExpandDecision: Expand

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    Hurwicz CriteriaHurwicz CriteriaSTATES OF NATURESTATES OF NATURE

    Good ForeignGood Foreign Poor Foreign Poor Foreign

    DECISIONDECISION Competitive ConditionsCompetitive Conditions Competitive ConditionsCompetitive Conditions

    Ex andEx and $ 800 000$ 800 000 $ 500 000$ 500 000

    Supplement 1Supplement 1--5454

    Maintain status quoMaintain status quo 1,300,0001,300,000 --150,000150,000

    Sell nowSell now 320,000320,000 320,000320,000

    = 0.3= 0.3 11 -- = 0.7= 0.7

    Expand:Expand:$800,000(0.3) + 500,000(0.7) = $590,000$800,000(0.3) + 500,000(0.7) = $590,000 MaximumMaximumStatus quo:Status quo:1,300,000(0.3)1,300,000(0.3) --150,000(0.7) = 285,000150,000(0.7) = 285,000

    Sell:Sell:320,000(0.3) + 320,000(0.7) = 320,000320,000(0.3) + 320,000(0.7) = 320,000

    Decision: ExpandDecision: Expand

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    Equal Likelihood CriteriaEqual Likelihood CriteriaSTATES OF NATURESTATES OF NATURE

    Good ForeignGood Foreign Poor Foreign Poor Foreign

    DECISIONDECISION Competitive ConditionsCompetitive Conditions Competitive ConditionsCompetitive Conditions

    Ex andEx and $ 800 000$ 800 000 $ 500 000$ 500 000

    Supplement 1Supplement 1--5555

    Maintain status quoMaintain status quo 1,300,0001,300,000 --150,000150,000

    Sell nowSell now 320,000320,000 320,000320,000

    Two states of nature each weighted 0.50Two states of nature each weighted 0.50

    Expand:Expand:$800,000(0.5) + 500,000(0.5) = $650,000$800,000(0.5) + 500,000(0.5) = $650,000 MaximumMaximum

    Status quo:Status quo:1,300,000(0.5)1,300,000(0.5) --150,000(0.5) = 575,000150,000(0.5) = 575,000

    Sell:Sell:320,000(0.5) + 320,000(0.5) = 320,000320,000(0.5) + 320,000(0.5) = 320,000

    Decision: ExpandDecision: Expand

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    Decision Analysis withDecision Analysis withExcelExcel

    Supplement 1Supplement 1--5656

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    Decision Analysis withDecision Analysis withOM ToolsOM Tools

    Supplement 1Supplement 1--5757

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    Decision Making withDecision Making withProbabilitiesProbabilities

    Risk involves assigning probabilities toRisk involves assigning probabilities to

    Supplement 1Supplement 1--5858

    Expected valueExpected value a weighted average of decision outcomes ina weighted average of decision outcomes in

    which each future state of nature iswhich each future state of nature is

    assigned a probability of occurrenceassigned a probability of occurrence

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    Expected valueExpected value

    EV (EV (xx) =) =pp((xxii))xxii

    nn

    Supplement 1Supplement 1--5959

    xxii = outcome= outcome ii

    pp((xxii)) = probability of outcome= probability of outcome ii

    wherewhere

    D i i M ki ithD i i M ki ith

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    Decision Making withDecision Making withProbabilities: ExampleProbabilities: Example

    STATES OF NATURESTATES OF NATURE

    Good ForeignGood Foreign Poor Foreign Poor Foreign

    DECISIONDECISION Competitive ConditionsCompetitive Conditions Competitive ConditionsCompetitive Conditions

    ExpandExpand $ 800,000$ 800,000 $ 500,000$ 500,000

    Supplement 1Supplement 1--6060

    Maintain status quoMaintain status quo 1,300,0001,300,000 --150,000150,000

    Sell nowSell now 320,000320,000 320,000320,000

    p(good) = 0.70 p(poor) = 0.30p(good) = 0.70 p(poor) = 0.30EV(expand):EV(expand): $800,000(0.7) + 500,000(0.3) = $710,000$800,000(0.7) + 500,000(0.3) = $710,000

    EV(status quo): 1,300,000(0.7)EV(status quo): 1,300,000(0.7) --150,000(0.3) = 865,000150,000(0.3) = 865,000 MaximumMaximumEV(sell):EV(sell): 320,000(0.7) + 320,000(0.3) = 320,000320,000(0.7) + 320,000(0.3) = 320,000

    Decision: Status quoDecision: Status quo

    D i i M ki ithD i i M ki ith

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    Decision Making withDecision Making withProbabilities: ExcelProbabilities: Excel

    Supplement 1Supplement 1--6161

    Expected Value ofExpected Value of

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    Expected Value ofExpected Value ofPerfect InformationPerfect Information

    EVPIEVPI maximum value of perfect information tomaximum value of perfect information to

    Supplement 1Supplement 1--6262

    the decision makerthe decision maker

    maximum amount that would be paid tomaximum amount that would be paid togain information that would result in again information that would result in adecision better than the one madedecision better than the one madewithout perfect informationwithout perfect information

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    EVPI ExampleEVPI Example

    Good conditions will existGood conditions will exist 70%70%of the timeof the time choose maintain status quo with payoff ofchoose maintain status quo with payoff of $1,300,000$1,300,000 Poor conditions will existPoor conditions will exist 30%30%of the timeof the time

    choose ex and with a off ofchoose ex and with a off of $500,000$500,000

    Supplement 1Supplement 1--6363

    Expected value given perfect informationExpected value given perfect information= $1,300,000 (0.70) + 500,000 (0.30)= $1,300,000 (0.70) + 500,000 (0.30)= $1,060,000= $1,060,000

    Recall that expected value without perfectRecall that expected value without perfect

    information was $865,000 (maintain status quo)information was $865,000 (maintain status quo)EVPIEVPI== $1,060,000$1,060,000 -- 865,000 = $195,000865,000 = $195,000

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    SequentialSequentialDecision TreesDecision Trees

    A graphical method for analyzingA graphical method for analyzingdecision situations that require adecision situations that require a

    Supplement 1Supplement 1--6464

    Decision tree consists ofDecision tree consists of Square nodesSquare nodes -- indicating decision pointsindicating decision points Circles nodesCircles nodes -- indicating states of natureindicating states of nature

    ArcsArcs -- connecting nodesconnecting nodes

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    Evaluations at NodesEvaluations at Nodes

    Compute EV at nodes 6 & 7Compute EV at nodes 6 & 7EVEV((node 6node 6)= 0.80($3,000,000) + 0.20($700,000) = $2,540,000)= 0.80($3,000,000) + 0.20($700,000) = $2,540,000EVEV((node 7node 7)= 0.30($2,300,000) + 0.70($1,000,000)= $1,390,000)= 0.30($2,300,000) + 0.70($1,000,000)= $1,390,000

    Supplement 1Supplement 1--6565

    ec s on a no e s e weenec s on a no e s e ween

    $2,540,000$2,540,000for Expand andfor Expand and$450,000$450,000for Sell landfor Sell land

    Choose ExpandChoose ExpandRepeat expected value calculations and decisions atRepeat expected value calculations and decisions at

    remaining nodesremaining nodes

    Decision Tree AnalysisDecision Tree Analysis

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    66

    22

    $1,740,000$1,740,000

    $2,540,000$2,540,000

    0.600.60

    0.400.40

    $225,000$225,000

    Market growthMarket growth$2,000,000$2,000,000

    $3,000,000$3,000,000

    $700,000$700,000

    0.800.80

    $1,290,000$1,290,000

    0.200.20

    yy

    Supplement 1Supplement 1--6666

    77

    11

    33

    55

    , ,, ,

    $1,360,000$1,360,000$790,000$790,000

    $1,390,000$1,390,000 $2,300,000$2,300,000

    $1,000,000$1,000,000

    $210,000$210,000

    0.400.40

    0.700.70

    0.300.30

    0.600.60

    $450,000$450,000

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    Chapter 2Chapter 2

    Quality ManagementQuality Management

    Operations ManagementOperations Management

    Roberta Russell & Bernard W. Taylor, III

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    Lecture OutlineLecture Outline

    What Is Quality?What Is Quality? Evolution of QualityEvolution of Quality

    ManagementManagement

    Quality in ServiceQuality in ServiceCompaniesCompanies

    Six SigmaSix Sigma

    22--6868

    Quality ToolsQuality Tools TQM and QMSTQM and QMS

    Focus of QualityFocus of QualityManagementManagementCustomersCustomers

    Role of Employees inRole of Employees inQuality ImprovementQuality Improvement

    Cost of QualityCost of Quality Effect of QualityEffect of Quality

    Management onManagement onProductivityProductivity

    Quality AwardsQuality Awards

    ISO 9000ISO 9000

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    What Is Quality?What Is Quality?

    Oxford American DictionaryOxford American Dictionary a degree or level of excellencea degree or level of excellence

    22--6969

    American Society for QualityAmerican Society for Quality totality of features and characteristicstotality of features and characteristicsthat satisfy needs without deficienciesthat satisfy needs without deficiencies

    Consumers and producersConsumers and producersperspectiveperspective

    What Is Quality:What Is Quality:

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    What Is Quality:What Is Quality:Customers PerspectiveCustomers Perspective

    Fitness for useFitness for use how well product orhow well product or

    service does what it isservice does what it is

    22--7070

    Quality of designQuality of design designing qualitydesigning quality

    characteristics into acharacteristics into aproduct or serviceproduct or service

    A Mercedes and a Ford areA Mercedes and a Ford areequally fit for use, but withequally fit for use, but withdifferent design dimensions.different design dimensions.

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    Dimensions of Quality:Dimensions of Quality:Manufactured ProductsManufactured Products

    PerformancePerformance basic operating characteristics of a product; howbasic operating characteristics of a product; how

    well a car handles or its gas mileagewell a car handles or its gas mileage

    22--7171

    extra items added to basic features, such as aextra items added to basic features, such as astereo CD or a leather interior in a carstereo CD or a leather interior in a car

    ReliabilityReliability probability that a product will operate properlyprobability that a product will operate properly

    within an expected time frame; that is, a TV willwithin an expected time frame; that is, a TV willwork without repair for about seven yearswork without repair for about seven years

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    Dimensions of Quality:Dimensions of Quality:

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    AestheticsAesthetics how a product looks, feels, sounds,how a product looks, feels, sounds,

    smells, or tastessmells, or tastes

    Dimensions of Quality:Dimensions of Quality:Manufactured Products (cont.)Manufactured Products (cont.)

    22--7373

    assurance that customer will not sufferassurance that customer will not sufferinjury or harm from a product; aninjury or harm from a product; anespecially important consideration forespecially important consideration forautomobilesautomobiles

    PerceptionsPerceptions subjective perceptions based on brandsubjective perceptions based on brand

    name, advertising, and likename, advertising, and like

    Dimensions of Quality:Dimensions of Quality:

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    Dimensions of Quality:Dimensions of Quality:ServicesServices

    Time and timelinessTime and timeliness how long must a customer wait for service,how long must a customer wait for service,

    22--7474

    is an overnight package delivered overnight?is an overnight package delivered overnight?

    Completeness:Completeness:

    is everything customer asked for provided?is everything customer asked for provided?

    is a mail order from a catalogue companyis a mail order from a catalogue companycomplete when delivered?complete when delivered?

    Dimensions of Quality:Dimensions of Quality:

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    Dimensions of Quality:Dimensions of Quality:Service (cont.)Service (cont.)

    Courtesy:Courtesy: how are customers treated by employees?how are customers treated by employees?

    22--7575

    their voices pleasant?their voices pleasant?

    ConsistencyConsistency is same level of service provided to eachis same level of service provided to each

    customer each time?customer each time?

    is your newspaper delivered on time everyis your newspaper delivered on time everymorning?morning?

    Dimensions of Quality:Dimensions of Quality:

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    Accessibility and convenienceAccessibility and convenience how easy is it to obtain service?how easy is it to obtain service? does service representative answer you calls quickly?does service representative answer you calls quickly?

    Q yQ yService (cont.)Service (cont.)

    22--7676

    ccuracyccuracy

    is service performed right every time?is service performed right every time? is your bank or credit card statement correct every month?is your bank or credit card statement correct every month?

    ResponsivenessResponsiveness how well does company react to unusual situations?how well does company react to unusual situations?

    how well is a telephone operator able to respond to ahow well is a telephone operator able to respond to acustomers questions?customers questions?

    What Is Quality:What Is Quality:

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    Q yQ yProducers PerspectiveProducers Perspective

    Quality of conformanceQuality of conformance

    makin sure roduct or service is roducedmakin sure roduct or service is roduced

    22--7777

    according to designaccording to design if new tires do not conform to specifications, theyif new tires do not conform to specifications, they

    wobblewobble

    if a hotel room is not clean when a guest checksif a hotel room is not clean when a guest checksin, hotel is not functioning according toin, hotel is not functioning according tospecifications of its designspecifications of its design

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    Meaning of QualityMeaning of Quality

    22--7878

    What Is Quality:What Is Quality:

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    Q yQ yA Final PerspectiveA Final Perspective

    Customers and producers perspectivesCustomers and producers perspectivesdepend on each otherdepend on each other

    22--7979

    Producers perspective:Producers perspective: production process and COSTproduction process and COST

    Customers perspective:Customers perspective: fitness for use and PRICEfitness for use and PRICE

    Customers view must dominateCustomers view must dominate

    Evolution of Quality Management:Evolution of Quality Management:

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    Q y gQ y gQuality GurusQuality Gurus

    Walter ShewartWalter Shewart In 1920s, developed control chartsIn 1920s, developed control charts Introduced term Introduced term quality assurancequality assurance

    22--8080

    .. Developed courses during World War II to teachDeveloped courses during World War II to teach

    statistical qualitystatistical quality--control techniques to engineers andcontrol techniques to engineers andexecutives of companies that were military suppliersexecutives of companies that were military suppliers

    After war, began teaching statistical quality control toAfter war, began teaching statistical quality control toJapanese companiesJapanese companies

    Joseph M. JuranJoseph M. Juran Followed Deming to Japan in 1954Followed Deming to Japan in 1954 Focused on strategic quality planningFocused on strategic quality planning Quality improvement achieved by focusing on projectsQuality improvement achieved by focusing on projects

    to solve problems and securing breakthrough solutionsto solve problems and securing breakthrough solutions

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    Demings 14 PointsDemings 14 Points

    1.1. Create constancy of purposeCreate constancy of purpose

    22--8282

    ..

    3.3. Cease mass inspectionCease mass inspection4.4. Select a few suppliers based onSelect a few suppliers based on

    qualityquality

    5.5. Constantly improve system andConstantly improve system andworkersworkers

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    6.6. Institute worker trainingInstitute worker training7.7. Instill leadership amongInstill leadership among

    Demings 14 Points (cont.)Demings 14 Points (cont.)

    22--8383

    supervisorssupervisors

    8.8. Eliminate fear among employeesEliminate fear among employees

    9.9. Eliminate barriers betweenEliminate barriers between

    departmentsdepartments

    10.10. Eliminate slogansEliminate slogans

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    11.11. Remove numerical quotasRemove numerical quotas12.12. Enhance worker prideEnhance worker pride

    Demings 14 Points (cont.)Demings 14 Points (cont.)

    22--8484

    13.13. Institute vigorous training andInstitute vigorous training andeducation programseducation programs

    14.14. Develop a commitment from topDevelop a commitment from top

    management to implementmanagement to implementabove 13 pointsabove 13 points

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    Deming Wheel: PDCA CycleDeming Wheel: PDCA Cycle

    22--8585

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    Quality ToolsQuality Tools

    Process FlowProcess FlowChartChart

    HistogramHistogram

    22--8686

    CauseCause--andand--Effect DiagramEffect Diagram

    Check SheetCheck Sheet

    Pareto AnalysisPareto Analysis

    Statistical ProcessStatistical ProcessControl ChartControl Chart

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    CC dd Eff DiEff Di

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    CauseCause--andand--Effect DiagramEffect Diagram

    CauseCause--andand--effect diagram (fishbone diagram)effect diagram (fishbone diagram)

    chart showing different categories of problem causeschart showing different categories of problem causes

    22--8888

    CC dd Eff M iEff M i

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    CauseCause--andand--Effect MatrixEffect Matrix

    CauseCause--andand--effect matrixeffect matrix grid used to prioritize causes of quality problemsgrid used to prioritize causes of quality problems

    22--8989

    Ch k Sh t d Hi tCh k Sh t d Hi t

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    Check Sheets and HistogramsCheck Sheets and Histograms

    22--9090

    P t A l iP t A l i

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    Pareto AnalysisPareto Analysis

    Pareto analysisPareto analysis

    most quality problems result from a few causesmost quality problems result from a few causes

    22--9191

    P t Ch tP t Ch t

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    Pareto ChartPareto Chart

    22--9292

    S tt DiS tt Di

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    Scatter DiagramScatter Diagram

    22--9393

    C t l Ch tC t l Ch t

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    Control ChartControl Chart

    22--9494

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    Focus of Quality ManagementFocus of Quality Management

    CustomersCustomers

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    CustomersCustomers

    TQM and QMSsTQM and QMSs serve to achieve customer satisfactionserve to achieve customer satisfaction

    22--9696

    a relationship between a company anda relationship between a company andits supplier based on mutual qualityits supplier based on mutual qualitystandardsstandards

    Measuring customer satisfactionMeasuring customer satisfaction important component of any QMSimportant component of any QMS customer surveys, telephone interviewscustomer surveys, telephone interviews

    Role of Employees inRole of Employees inQuality ImprovementQuality Improvement

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    Quality ImprovementQuality Improvement

    ParticipativeParticipativeproblem solvingproblem solving employees involved inemployees involved in

    22--9797

    --

    every employee hasevery employee hasundergone extensiveundergone extensivetraining to provide qualitytraining to provide qualityservice to Disneys guestsservice to Disneys guests

    KaizenKaizen involves everyone ininvolves everyone in

    process of continuousprocess of continuousimprovementimprovement

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    Quality in ServicesQuality in Services

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    Quality in ServicesQuality in Services

    Service defects are not always easyService defects are not always easyto measure because service outputto measure because service output

    22--9999

    Services tend to be labor intensiveServices tend to be labor intensive Services and manufacturingServices and manufacturing

    companies have similar inputs butcompanies have similar inputs but

    different processes and outputsdifferent processes and outputs

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    Six SigmaSix Sigma

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    Six SigmaSix Sigma

    A process for developing and deliveringA process for developing and deliveringvirtually perfect products and servicesvirtually perfect products and services

    Measure of how much a processMeasure of how much a process

    22--101101

    ev a es rom per ec onev a es rom per ec on

    3.4 defects per million opportunities3.4 defects per million opportunities Six Sigma ProcessSix Sigma Process

    four basic steps of Six Sigmafour basic steps of Six Sigmaalign,align,mobilize, accelerate, and governmobilize, accelerate, and govern

    ChampionChampion an executive responsible for project successan executive responsible for project success

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    Six Sigma:Six Sigma:Black Belts andBlack Belts andGreen BeltsGreen Belts

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    Green BeltsGreen Belts

    Black BeltBlack Belt project leaderproject leader

    22--103103

    a teacher and mentora teacher and mentorfor Black Beltsfor Black Belts

    Green BeltsGreen Belts

    project teamproject teammembersmembers

    Six SigmaSix Sigma

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    Six SigmaSix Sigma

    Design for Six Sigma (DFSS)Design for Six Sigma (DFSS) a systematic approach to designing products anda systematic approach to designing products and

    rocesses th t will chieve Six Si mrocesses th t will chieve Six Si m

    22--104104

    ProfitabilityProfitability typical criterion for selection Six Sigma projecttypical criterion for selection Six Sigma project

    one of the factors distinguishing Six Sigma fromone of the factors distinguishing Six Sigma fromTQMTQM

    Quality is not only free, it is anQuality is not only free, it is an

    honesthonest--toto--everything profit maker.everything profit maker.

    Cost of QualityCost of Quality

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    Cost of QualityCost of Quality

    Cost of Achieving Good QualityCost of Achieving Good Quality Prevention costsPrevention costs costs incurred during product designcosts incurred during product design

    22--105105

    ppra sa costsppra sa costs

    costs of measuring, testing, and analyzingcosts of measuring, testing, and analyzing Cost of Poor QualityCost of Poor Quality

    Internal failure costsInternal failure costs include scrap, rework, process failure, downtime,include scrap, rework, process failure, downtime,

    and price reductionsand price reductions External failure costsExternal failure costs

    include complaints, returns, warranty claims,include complaints, returns, warranty claims,liability, and lost salesliability, and lost sales

    Prevention CostsPrevention Costs

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    Prevention CostsPrevention Costs

    Quality planning costsQuality planning costs costs of developing andcosts of developing and

    implementing qualityimplementing qualitymanagement programmanagement program

    Training costsTraining costs costs of developing andcosts of developing and

    putting on quality trainingputting on quality trainingro rams for em lo eesro rams for em lo ees

    22--106106

    ro uctro uct-- es gn costses gn costs

    costs of designingcosts of designingproducts with qualityproducts with qualitycharacteristicscharacteristics

    Process costsProcess costs costs expended to makecosts expended to make

    sure productive processsure productive processconforms to qualityconforms to qualityspecificationsspecifications

    and managementand management

    Information costsInformation costs costs of acquiringcosts of acquiring

    and maintaining dataand maintaining datarelated to quality, andrelated to quality, anddevelopment anddevelopment andanalysis of reports onanalysis of reports onquality performancequality performance

    Appraisal CostsAppraisal Costs

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    Appraisal CostsAppraisal Costs

    Inspection and testingInspection and testing costs of testing and inspecting materials, parts, andcosts of testing and inspecting materials, parts, andproduct at various stages and at end of processproduct at various stages and at end of process

    22--107107

    costs of maintaining equipment used in testingcosts of maintaining equipment used in testing

    quality characteristics of productsquality characteristics of products

    Operator costsOperator costs costs of time spent by operators to gather data forcosts of time spent by operators to gather data for

    testing product quality, to make equipmenttesting product quality, to make equipment

    adjustments to maintain quality, and to stop work toadjustments to maintain quality, and to stop work toassess qualityassess quality

    Internal Failure CostsInternal Failure Costs

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    Internal Failure CostsInternal Failure Costs

    Scrap costsScrap costs costs of poorcosts of poor--qualityquality

    products that must beproducts that must bediscarded, including labor,discarded, including labor,

    Process downtime costsProcess downtime costs

    costs of shutting downcosts of shutting downproductive process to fixproductive process to fix

    22--108108

    ,,

    Rework costsRework costs costs of fixing defectivecosts of fixing defective

    products to conform toproducts to conform toquality specificationsquality specifications

    Process failure costsProcess failure costs costs of determining whycosts of determining whyproduction process isproduction process is

    producing poorproducing poor--qualityqualityproductsproducts

    PricePrice--downgrading costsdowngrading costs costs of discounting poorcosts of discounting poor--

    quality productsquality productsthat is,that is,selling products asselling products as

    secondsseconds

    External Failure CostsExternal Failure Costs

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    External Failure CostsExternal Failure Costs

    Customer complaint costsCustomer complaint costs costs of investigating andcosts of investigating and

    satisfactorily responding to asatisfactorily responding to acustomer complaint resultingcustomer complaint resulting

    Product liability costsProduct liability costs litigation costslitigation costs

    resulting from productresulting from productliabilit and customerliabilit and customer

    22--109109

    --

    Product return costsProduct return costs costs of handling and replacingcosts of handling and replacing

    poorpoor--quality products returnedquality products returnedby customerby customer

    Warranty claims costsWarranty claims costs

    costs of complying withcosts of complying withproduct warrantiesproduct warranties

    injuryinjury

    Lost sales costsLost sales costs costs incurredcosts incurred

    because customersbecause customersare dissatisfied withare dissatisfied withpoorpoor--quality productsquality productsand do not makeand do not makeadditional purchasesadditional purchases

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    QualityQualityCost RelationshipCost Relationship

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    Q yQ y pp

    Cost of qualityCost of quality difference between price ofdifference between price of

    22--111111

    noncon ormance an con ormancenoncon ormance an con ormance

    cost of doing things wrongcost of doing things wrong 20 to 35% of revenues20 to 35% of revenues

    cost of doing things rightcost of doing things right

    3 to 4% of revenues3 to 4% of revenues

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    Computing ProductComputing Product

    Cost per UnitCost per Unit

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    pp

    RKIK rd ))(())(( +=Product Cost

    22--113113

    where:Kd= direct manufacturing cost per unit

    I= inputKr= rework cost per unit

    R= reworked unitsY= yield

    Computing Product YieldComputing Product Yield

    for Multistage Processesfor Multistage Processes

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    gg

    Y =(I)(%g1)(%g2) (%gn)

    22--114114

    where:I= input of items to the production process that will

    result in finished productsgi= good-quality, work-in-process products at stage i

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    ISO 9000 Certification,ISO 9000 Certification,

    Implications, and RegistrarsImplications, and Registrars

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    ISO 9001:2000ISO 9001:2000onlyonlystandard that carries thirdstandard that carries third--partyparty certificationcertification

    22--119119

    Many overseas companiesMany overseas companies

    will not do business with awill not do business with asupplier unless it has ISOsupplier unless it has ISO9000 certification9000 certification

    ISO 9000 accreditationISO 9000 accreditation

    ISO registrarsISO registrars

    Chapter 3Chapter 3

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    Statistical Process ControlStatistical Process Control

    pp

    OperationsOperations ManagementManagementOperationsOperations ManagementManagement

    Roberta Russell & Bernard W. Taylor, IIIRoberta Russell & Bernard W. Taylor, III

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    Basics of StatisticalBasics of Statistical

    Process ControlProcess Control

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    Statistical Process ControlStatistical Process Control

    (SPC)(SPC) monitoring production processmonitoring production process

    33--122122

    qualityquality

    SampleSample subset of items produced tosubset of items produced to

    use for inspectionuse for inspection

    Control ChartsControl Charts process is within statisticalprocess is within statistical

    control limitscontrol limits

    LCLLCL

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    SPC in Quality ManagementSPC in Quality Management

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    SPCSPC tool for identifying problems intool for identifying problems in

    33--124124

    contributes to the TQM goal ofcontributes to the TQM goal ofcontinuous improvementscontinuous improvements

    Quality Measures:Quality Measures:

    Attributes and VariablesAttributes and Variables

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    AttributeAttribute a product characteristic that can bea product characteristic that can be

    33--125125

    goodgood bad; yesbad; yes -- nono

    Variable measureVariable measure a product characteristic that is continuousa product characteristic that is continuous

    and can be measuredand can be measured weightweight -- lengthlength

    SPC Applied toSPC Applied to

    ServicesServices

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    Nature of defect is different in servicesNature of defect is different in services

    33--126126

    customer requirementscustomer requirements Monitor time and customer satisfactionMonitor time and customer satisfaction

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    Where to Use Control ChartsWhere to Use Control Charts

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    Process has a tendency to go out of controlProcess has a tendency to go out of control

    Process is particularly harmful and costly if itProcess is particularly harmful and costly if itgoes out of controlgoes out of control

    33--129129

    at the beginning of a process because it is a waste ofat the beginning of a process because it is a waste of

    time and money to begin production process with badtime and money to begin production process with badsuppliessupplies before a costly or irreversible point, after whichbefore a costly or irreversible point, after which

    product is difficult to rework or correctproduct is difficult to rework or correct before and after assembly or painting operations thatbefore and after assembly or painting operations that

    might cover defectsmight cover defects before the outgoing final product or service isbefore the outgoing final product or service is

    delivereddelivered

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    Control Charts forControl Charts forAttributesAttributes

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    pp--chartchart

    33--134134

    uses portion defective in a sampleuses portion defective in a sample

    cc--chartchart uses number of defective items inuses number of defective items in

    a samplea sample

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    Construction of pConstruction of p--Chart (cont.)Chart (cont.)

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    = 200 / 20(100) = 0.10= 200 / 20(100) = 0.10

    total defectivestotal defectives

    total sample observationstotal sample observationsp =p =

    33--137137

    UCL =UCL = pp++ zz = 0.10 + 3= 0.10 + 3--

    nn

    .. -- ..

    100100

    UCL = 0.190UCL = 0.190

    LCL = 0.010LCL = 0.010

    LCL =LCL = pp-- zz = 0.10= 0.10 -- 33pp(1(1 -- pp))

    nn

    0.10(10.10(1 -- 0.10)0.10)

    100100

    0.160.16

    0.180.18

    0.200.20

    UCL = 0.190UCL = 0.190

    C t tiC t ti

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    0.120.12

    0.140.14

    ndefect

    ive

    ndefect

    ive

    pp= 0.10= 0.10

    ConstructionConstructionof pof p--ChartChart

    33--138138

    0.020.02

    0.040.04

    0.060.06

    0.080.08

    Proporti

    Proporti

    Sample numberSample number

    22 44 66 88 1010 1212 1414 1616 1818 2020

    LCL = 0.010LCL = 0.010

    con .con .

    cc--ChartChart

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    UCL =UCL = cc++ zzcc

    33--139139

    LCL =LCL = cc-- cc

    wherewhere

    cc= number of defects per sample= number of defects per sample

    cc

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    Control Charts forControl Charts for

    VariablesVariables

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    Range chart ( RRange chart ( R--Chart )Chart ) uses amount of dispersion in auses amount of dispersion in a

    33--142142

    samplesample

    Mean chart ( xMean chart ( x --Chart )Chart ) uses process average of auses process average of a

    samplesample

    xx--bar Chart:bar Chart:

    Standard Deviation KnownStandard Deviation Known

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    UCL =UCL =UCL =UCL =UCL =UCL =UCL =UCL =xxxxxxxx

    ++++++++ zzxx LCL =LCL =LCL =LCL =LCL =LCL =LCL =LCL =xxxxxxxx

    -------- zzxxUCL =UCL =UCL =UCL =UCL =UCL =UCL =UCL =xxxxxxxx

    ++++++++ zzxx LCL =LCL =LCL =LCL =LCL =LCL =LCL =LCL =xxxxxxxx

    -------- zzxx

    ================ ================

    33--143143

    xxxxxxxx11111111 xxxxxxxx22222222 ........................ xxxxxxxxnnnnnnnnnnnnnnnn

    xxxxxxxx11111111 xxxxxxxx22222222 ........................ xxxxxxxxnnnnnnnnnnnnnnnn

    xxxxxxxx ========xxxxxxxx ========================

    wherewhere

    xx = average of sample means= average of sample means

    wherewhere

    xx = average of sample means= average of sample means================

    xx--bar Chart Example:bar Chart Example:

    Standard Deviation Known (cont.)Standard Deviation Known (cont.)

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    33--144144

    xx--bar Chart Example:bar Chart Example:

    Standard Deviation Known (cont.)Standard Deviation Known (cont.)

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    33--145145

    xx--bar Chart Example:bar Chart Example:

    Standard Deviation UnknownStandard Deviation Unknown

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    UCL =UCL =UCL =UCL =UCL =UCL =UCL =UCL = xxxxxxxx++++++++ AAAAAAAA22222222RRRRRRRR LCL =LCL =LCL =LCL =LCL =LCL =LCL =LCL = xxxxxxxx-------- AAAAAAAA22222222RRRRRRRRUCL =UCL =UCL =UCL =UCL =UCL =UCL =UCL = xxxxxxxx++++++++ AAAAAAAA22222222RRRRRRRR LCL =LCL =LCL =LCL =LCL =LCL =LCL =LCL = xxxxxxxx-------- AAAAAAAA22222222RRRRRRRR================ ================

    33--146146

    wherewherewherewherewherewherewherewhere

    xxxxxxxx = average of sample means= average of sample means= average of sample means= average of sample means= average of sample means= average of sample means= average of sample means= average of sample means

    wherewherewherewherewherewherewherewhere

    xxxxxxxx = average of sample means= average of sample means= average of sample means= average of sample means= average of sample means= average of sample means= average of sample means= average of sample means

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    xx--bar Chart Example:bar Chart Example:

    Standard Deviation UnknownStandard Deviation UnknownOBSERVATIONS (SLIPOBSERVATIONS (SLIP-- RING DIAMETER, CM)RING DIAMETER, CM)

    SAMPLESAMPLE kk 11 22 33 44 55 xx RR

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    11 5.025.02 5.015.01 4.944.94 4.994.99 4.964.96 4.984.98 0.080.0822 5.015.01 5.035.03 5.075.07 4.954.95 4.964.96 5.005.00 0.120.12

    33--148148

    Example 15.4Example 15.4

    .. .. .. .. .. .. ..

    44 5.035.03 4.914.91 5.015.01 4.984.98 4.894.89 4.964.96 0.140.14

    55 4.954.95 4.924.92 5.035.03 5.055.05 5.015.01 4.994.99 0.130.13

    66 4.974.97 5.065.06 5.065.06 4.964.96 5.035.03 5.015.01 0.100.10

    77 5.055.05 5.015.01 5.105.10 4.964.96 4.994.99 5.025.02 0.140.14

    88 5.095.09 5.105.10 5.005.00 4.994.99 5.085.08 5.055.05 0.110.11

    99 5.145.14 5.105.10 4.994.99 5.085.08 5.095.09 5.085.08 0.150.15

    1010 5.015.01 4.984.98 5.085.08 5.075.07 4.994.99 5.035.03 0.100.10

    50.0950.09 1.151.15

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    RR--Chart ExampleChart Example

    OBSERVATIONS (SLIPOBSERVATIONS (SLIP--RING DIAMETER, CM)RING DIAMETER, CM)

    SAMPLESAMPLE kk 11 22 33 44 55 xx RR

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    11 5.025.02 5.015.01 4.944.94 4.994.99 4.964.96 4.984.98 0.080.0822 5.015.01 5.035.03 5.075.07 4.954.95 4.964.96 5.005.00 0.120.12

    33--152152

    .. .. .. .. .. .. ..

    44 5.035.03 4.914.91 5.015.01 4.984.98 4.894.89 4.964.96 0.140.14

    55 4.954.95 4.924.92 5.035.03 5.055.05 5.015.01 4.994.99 0.130.1366 4.974.97 5.065.06 5.065.06 4.964.96 5.035.03 5.015.01 0.100.10

    77 5.055.05 5.015.01 5.105.10 4.964.96 4.994.99 5.025.02 0.140.14

    88 5.095.09 5.105.10 5.005.00 4.994.99 5.085.08 5.055.05 0.110.11

    99 5.145.14 5.105.10 4.994.99 5.085.08 5.095.09 5.085.08 0.150.15

    1010 5.015.01 4.984.98 5.085.08 5.075.07 4.994.99 5.035.03 0.100.10

    50.0950.09 1.151.15Example 15.3Example 15.3

    RR--Chart Example (cont.)Chart Example (cont.)

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    UCL =UCL =UCL =UCL =UCL =UCL =UCL =UCL = DDDDDDDD44444444RRRRRRRR= 2.11(0.115) = 0.243= 2.11(0.115) = 0.243= 2.11(0.115) = 0.243= 2.11(0.115) = 0.243= 2.11(0.115) = 0.243= 2.11(0.115) = 0.243= 2.11(0.115) = 0.243= 2.11(0.115) = 0.243UCL =UCL =UCL =UCL =UCL =UCL =UCL =UCL = DDDDDDDD44444444RRRRRRRR= 2.11(0.115) = 0.243= 2.11(0.115) = 0.243= 2.11(0.115) = 0.243= 2.11(0.115) = 0.243= 2.11(0.115) = 0.243= 2.11(0.115) = 0.243= 2.11(0.115) = 0.243= 2.11(0.115) = 0.243

    33--153153

    Example 15.3Example 15.3

    Retrieve Factor Values DRetrieve Factor Values D33 and Dand D44

    LCL =LCL =LCL =LCL =LCL =LCL =LCL =LCL = DDDDDDDD33333333RRRRRRRR= 0(0.115) = 0= 0(0.115) = 0= 0(0.115) = 0= 0(0.115) = 0= 0(0.115) = 0= 0(0.115) = 0= 0(0.115) = 0= 0(0.115) = 0LCL =LCL =LCL =LCL =LCL =LCL =LCL =LCL = DDDDDDDD33333333RRRRRRRR= 0(0.115) = 0= 0(0.115) = 0= 0(0.115) = 0= 0(0.115) = 0= 0(0.115) = 0= 0(0.115) = 0= 0(0.115) = 0= 0(0.115) = 0

    RR--Chart Example (cont.)Chart Example (cont.)

    0.280.28

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    UCL = 0.243UCL = 0.2430.240.24

    0.200.20

    33--154154

    LCL = 0LCL = 0

    Range

    Range

    Sample numberSample number

    RR= 0.115= 0.115

    ||11 ||22 ||33 ||44 ||55 ||66 ||77 ||88 ||99 ||1010

    0.160.16

    0.120.12

    0.080.08

    0.040.04 00

    Using xUsing x-- bar and Rbar and R--ChartsCharts

    TogetherTogether

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    Process average and process variability must be in controlProcess average and process variability must be in control

    33--155155

    s poss e or samp es o ave very narrow ranges, us poss e or samp es o ave very narrow ranges, utheir averages might be beyond control limitstheir averages might be beyond control limits

    It is possible for sample averages to be in control, butIt is possible for sample averages to be in control, butranges might be very largeranges might be very large

    It is possible for an RIt is possible for an R--chart to exhibit a distinct downwardchart to exhibit a distinct downwardtrend, suggesting some nonrandom cause is reducingtrend, suggesting some nonrandom cause is reducing

    variationvariation

    Control Chart PatternsControl Chart Patterns

    RunRun

    sequence of sample values that display same characteristicsequence of sample values that display same characteristic

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    sequence of sample values that display same characteristicsequence of sample values that display same characteristic

    Pattern testPattern test determines if observations within limits of a control chart display adetermines if observations within limits of a control chart display a

    33--156156

    nonran om patternnonran om pattern

    To identify a pattern:To identify a pattern:

    8 consecutive points on one side of the center line8 consecutive points on one side of the center line 8 consecutive points up or down8 consecutive points up or down

    14 points alternating up or down14 points alternating up or down

    2 out of 3 consecutive points in zone A (on one side of center line)2 out of 3 consecutive points in zone A (on one side of center line)

    4 out of 5 consecutive points in zone A or B (on one side of center4 out of 5 consecutive points in zone A or B (on one side of centerline)line)

    Control Chart Patterns (cont.)Control Chart Patterns (cont.)

    UCLUCL

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    UCLUCL

    33--157157

    LCLLCL

    Sample observationsSample observationsconsistently above theconsistently above the

    center linecenter line

    LCLLCL

    Sample observationsSample observations

    consistently below theconsistently below the

    center linecenter line

    Control Chart Patterns (cont.)Control Chart Patterns (cont.)

    UCLUCL

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    UCLUCL

    33--158158

    LCLLCL

    Sample observationsSample observations

    consistently increasingconsistently increasing LCLLCL

    Sample observationsSample observationsconsistently decreasingconsistently decreasing

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    Performing a Pattern TestPerforming a Pattern Test

    11 4.984.98 BB BB

    SAMPLESAMPLE xx ABOVE/BELOWABOVE/BELOW UP/DOWNUP/DOWN ZONEZONE

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    22 5.005.00 BB UU CC33 4.954.95 BB DD AA

    33--160160

    55 4.994.99 BB UU CC

    66 5.015.01 UU CC77 5.025.02 AA UU CC

    88 5.055.05 AA UU BB

    99 5.085.08 AA UU AA

    1010 5.035.03 AA DD BB

    Sample Size DeterminationSample Size Determination

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    33--161161

    50 to 100 parts in a sample50 to 100 parts in a sample

    Variable charts require smaller samplesVariable charts require smaller samples 2 to 10 parts in a sample2 to 10 parts in a sample

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    SPC with Excel and OM ToolsSPC with Excel and OM Tools

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    33--163163

    Process CapabilityProcess Capability

    TolerancesTolerances

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    design specifications reflecting productdesign specifications reflecting product

    33--164164

    uu

    Process capabilityProcess capability range of natural variability in a processrange of natural variability in a process

    what we measure with control chartswhat we measure with control charts

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    Process Capability (cont.)Process Capability (cont.)

    (c) Design specifications(c) Design specificationsgreater than naturalgreater than natural

    DesignDesignSpecificationsSpecifications

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    variation; process isvariation; process iscapable of alwayscapable of alwaysconforming toconforming to

    33--166166

    ..

    ProcessProcess

    (d) Specifications greater(d) Specifications greaterthan natural variation,than natural variation,but process off center;but process off center;

    capable but some outputcapable but some outputwill not meet upperwill not meet upperspecification.specification.

    DesignDesignSpecificationsSpecifications

    ProcessProcess

    Process Capability MeasuresProcess Capability Measures

    Process Capability RatioProcess Capability Ratio

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    33--167167

    CCpp ==

    ==

    process rangeprocess rangeupper specification limitupper specification limit --

    lower specification limitlower specification limit

    66

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    Computing CComputing Cpkpk

    Net weight specification = 9.0 ozNet weight specification = 9.0 oz 0.5 oz0.5 oz

    Process mean = 8.80 ozProcess mean = 8.80 oz

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    Process standard deviation = 0.12 ozProcess standard deviation = 0.12 oz

    33--170170

    CCpkpk = minimum= minimum

    = minimum , = 0.83= minimum , = 0.83

    xx -- lower specification limitlower specification limit

    33

    ==

    upper specification limitupper specification limit -- xx

    33

    ==

    ,,

    8.808.80 -- 8.508.503(0.12)3(0.12)

    9.509.50 -- 8.808.803(0.12)3(0.12)

    Process CapabilityProcess Capability

    with Excelwith Excel

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    33--171171

    Process CapabilityProcess Capability

    with Excel and OM Toolswith Excel and OM Tools

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    33--172172

    Chapter 3 SupplementChapter 3 Supplement

    A S liA S li

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    Acceptance SamplingAcceptance Sampling

    OperationsOperations ManagementManagementOperationsOperations ManagementManagement

    Roberta Russell & Bernard W. Taylor, IIIRoberta Russell & Bernard W. Taylor, III

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    Acceptance SamplingAcceptance Sampling

    Accepting or rejecting a production lot basedAccepting or rejecting a production lot based

    th b f d f t i lth b f d f t i l

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    on the number of defects in a sampleon the number of defects in a sample Not consistent with TQM or Zero DefectsNot consistent with TQM or Zero Defects

    Supplement 3Supplement 3--175175

    philosophyphilosophy

    producer and customer agree on the number ofproducer and customer agree on the number ofacceptable defectsacceptable defects

    a means of identifying not preventing poor qualitya means of identifying not preventing poor quality

    percent of defective parts versus PPMpercent of defective parts versus PPM

    Sampling planSampling plan provides guidelines for accepting a lotprovides guidelines for accepting a lot

    SingleSingleSampleSample

    Attribute PlanAttribute Plan

    Single sampling planSingle sampling plan

    NN lot sizelot size

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    NN= lot size= lot size

    Supplement 3Supplement 3--176176

    ==

    cc= acceptance number= acceptance number

    dd= number of defective items in sample= number of defective items in sample

    IfIf ddcc, accept lot; else reject, accept lot; else reject

    Producers andProducers and

    Consumers RiskConsumers Risk

    AQL or acceptable quality levelAQL or acceptable quality level proportion of defects consumer will accept inproport


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