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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