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    1 2002 South-Western/Thomson Learning2002 South-Western/Thomson Learning TMTM

    Slides preparedSlides prepared

    by John Loucksby John Loucks

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    Chapter 9Chapter 9Chapter 9Chapter 9

    Service OperationsService Operations

    Planning and SchedulingPlanning and Scheduling

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    OverviewOverviewOverviewOverview

    IntroductionIntroduction

    Scheduling QuasiScheduling Quasi--Manufacturing Service OperationsManufacturing Service Operations

    Scheduling CustomerScheduling Customer--asas--Participant ServiceParticipant Service

    OperationsOperations Scheduling CustomerScheduling Customer--asas--Product Service OperationsProduct Service Operations

    WrapWrap--Up: What WorldUp: What World--Class Companies DoClass Companies Do

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    IntroductionIntroductionIntroductionIntroduction

    ServicesServices are operations with:are operations with:

    Intangible outputs that ordinarily cannot beIntangible outputs that ordinarily cannot be

    inventoriedinventoried

    Close customer contactClose customer contact Short lead timesShort lead times

    High labor costs relative to capital costsHigh labor costs relative to capital costs

    Subjectively determined qualitySubjectively determined quality

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    IntroductionIntroductionIntroductionIntroduction

    Facts about service businesses:Facts about service businesses:

    Enormous diversityEnormous diversity

    Service businesses can be any sizeService businesses can be any size

    Twice as many nonTwice as many non--retail service businesses asretail service businesses asretailretail

    Technical training important due to significantTechnical training important due to significant

    dependence on computers, automation anddependence on computers, automation and

    technologytechnology

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    IntroductionIntroductionIntroductionIntroduction

    OtherFacts about service businesses:OtherFacts about service businesses:

    Service workers well paid relative toService workers well paid relative to

    manufacturingmanufacturing

    Need better planning, controlling, andNeed better planning, controlling, andmanagement to stay competitivemanagement to stay competitive

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    Some of the Largest Service BusinessesSome of the Largest Service BusinessesSome of the Largest Service BusinessesSome of the Largest Service Businesses

    Rank in the top 20 US Corporations:Rank in the top 20 US Corporations:

    AT&TAT&T

    WalWal--MartMart

    CitigroupCitigroup State FarmState Farm

    SBC CommunicationsSBC Communications

    Sear,R

    oebuck & CompanySear,R

    oebuck & Company

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    Spectrum of Service IndustriesSpectrum of Service IndustriesSpectrum of Service IndustriesSpectrum of Service Industries

    TransportationTransportation BankingBanking

    RetailingRetailing

    Health CareHealth Care

    EntertainmentEntertainment

    InsuranceInsurance Real EstateReal Estate

    CommunicationsCommunications

    UtilitiesUtilities

    and more and more

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    No Clear Line BetweenNo Clear Line Between

    Manufacturing and Service FirmsManufacturing and Service Firms

    No Clear Line BetweenNo Clear Line Between

    Manufacturing and Service FirmsManufacturing and Service Firms

    EveryEvery business, whether manufacturing or service,business, whether manufacturing or service,

    has a mix of customer service aspects and productionhas a mix of customer service aspects and production

    aspects in its operationsaspects in its operations

    Manufacturing has much to learn from services thatManufacturing has much to learn from services thatexcelexcel

    Services have much to learn from manufacturers thatServices have much to learn from manufacturers that

    excelexcel

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    Manufacturing and Service JobsManufacturing and Service JobsManufacturing and Service JobsManufacturing and Service Jobs

    Percentage of US JobsPercentage of US Jobs

    19881988 19981998 2008*2008*

    Manufacturing JobsManufacturing Jobs 16.1%16.1% 13.4%13.4% 11.6%11.6%

    Service JobsService Jobs 66.266.2 70.870.8 73.973.9

    * Projected* Projected

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    Operations StrategiesOperations StrategiesOperations StrategiesOperations Strategies

    Positioning strategiesPositioning strategies contain two elements:contain two elements:

    Type of service designType of service design

    Standard or customStandard or custom

    Amount of customer contactAmount of customer contact Mix of physical goods and intangible servicesMix of physical goods and intangible services

    Type of production processType of production process

    QuasiQuasi--manufacturingmanufacturing

    CustomerCustomer--asas--participantparticipant

    CustomerCustomer--asas--productproduct

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    Types of Service OperationsTypes of Service OperationsTypes of Service OperationsTypes of Service Operations

    QuasiQuasi--manufacturingmanufacturing

    Production occurs much as manufacturingProduction occurs much as manufacturing

    Physical goods dominant over intangible servicesPhysical goods dominant over intangible services

    CustomerCustomer--asas--participantparticipant High degree of customer involvementHigh degree of customer involvement

    Physical goods may or may not be significantPhysical goods may or may not be significant

    Service either standard or customService either standard or custom

    CustomerCustomer--asas--productproduct

    Service performed on customer... usually customService performed on customer... usually custom

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    Scheduling Challenges in ServicesScheduling Challenges in ServicesScheduling Challenges in ServicesScheduling Challenges in Services

    Planning and controlling dayPlanning and controlling day--toto--day activitiesday activities

    difficult due to:difficult due to:

    Services produced and delivered by peopleServices produced and delivered by people

    Pattern of demand for services is nonPattern of demand for services is non--uniformuniform

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    NonNon--Uniform DemandUniform DemandNonNon--Uniform DemandUniform Demand

    Cannot inventory services in advance of highCannot inventory services in advance of high--demanddemand

    periods, so businesses use following tactics:periods, so businesses use following tactics:

    Preemptive actions to make demand more uniformPreemptive actions to make demand more uniform

    OffOff--peak incentives/discounts (telephone)peak incentives/discounts (telephone) Appointment schedules (dentist)Appointment schedules (dentist)

    Fixed schedules (airline)Fixed schedules (airline)

    Make operations more flexible so it is easier toMake operations more flexible so it is easier to

    vary capacityvary capacity PartPart--time personnel (supermarket)time personnel (supermarket) Subcontractors (postal service)Subcontractors (postal service) InIn--house standby resources (fire department)house standby resources (fire department)

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    NonNon--Uniform DemandUniform DemandNonNon--Uniform DemandUniform Demand

    Additional tactics used by businesses:Additional tactics used by businesses:

    Anticipate demand and schedule employees duringAnticipate demand and schedule employees during

    each time period to meet demandeach time period to meet demand

    Allow waiting lines to formAllow waiting lines to form These two tactics will be covered in greater detailThese two tactics will be covered in greater detail

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    Scheduling QuasiScheduling Quasi--Manufacturing ServicesManufacturing ServicesScheduling QuasiScheduling Quasi--Manufacturing ServicesManufacturing Services

    ProductProduct--Focused OperationsFocused Operations

    Resemble productResemble product--focused production linesfocused production lines

    Customer demand is forecast and capacityCustomer demand is forecast and capacity

    decisions made just as in manufacturingdecisions made just as in manufacturing High volumes of standardized productsHigh volumes of standardized products

    Management focused on controlling productionManagement focused on controlling production

    costs, product quality, and delivery of physicalcosts, product quality, and delivery of physical

    goodsgoods

    Example... McDonalds backExample... McDonalds back--room operationroom operation

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    Scheduling QuasiScheduling Quasi--Manufacturing ServicesManufacturing ServicesScheduling QuasiScheduling Quasi--Manufacturing ServicesManufacturing Services

    ProcessProcess--Focused OperationsFocused Operations

    Managed like job shops in manufacturingManaged like job shops in manufacturing

    InputInput--output control important to balance capacityoutput control important to balance capacity

    between operationsbetween operations Gantt charts used to coordinate flows betweenGantt charts used to coordinate flows between

    departmentsdepartments

    Sequence of jobs consider sequencing rules,Sequence of jobs consider sequencing rules,

    changeover costs, and flow timeschangeover costs, and flow times

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    Work Shift SchedulingWork Shift SchedulingWork Shift SchedulingWork Shift Scheduling

    Three difficulties in scheduling services:Three difficulties in scheduling services:

    Demand variabilityDemand variability

    Service time variabilityService time variability

    Availability of personnel when neededAvailability of personnel when needed Managers use two tactics:Managers use two tactics:

    Use fullUse full--time employees exclusivelytime employees exclusively

    Use some fullUse some full--time employees as base and fill intime employees as base and fill inpeak demand with partpeak demand with part--time employeestime employees

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    Example: Scheduling EmployeesExample: Scheduling EmployeesExample: Scheduling EmployeesExample: Scheduling Employees

    The owner of a haircutting shop wants to convertThe owner of a haircutting shop wants to convertfrom a dropfrom a drop--in system of customer arrivals to anin system of customer arrivals to anappointment system.appointment system.

    Each customer requires an average of 30 minutesEach customer requires an average of 30 minutes

    of a stylists time. The stylists are all fullof a stylists time. The stylists are all full--timetimeemployees and can work any 4 consecutive days peremployees and can work any 4 consecutive days perweek from 10 a.m. to 7 p.m. (with an hour off forweek from 10 a.m. to 7 p.m. (with an hour off forlunch), Monday through Saturday.lunch), Monday through Saturday.

    On the next slide are: 1) average number of dropOn the next slide are: 1) average number of drop--in customers each day, and 2) estimated number ofin customers each day, and 2) estimated number ofcustomer appointments each day.customer appointments each day.

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    Example: Scheduling EmployeesExample: Scheduling EmployeesExample: Scheduling EmployeesExample: Scheduling Employees

    Mon.Mon. Tue.Tue. Wed.Wed. Thu.Thu. Fri.Fri. Sat.Sat. TotalTotal

    DropDrop--insins 4040 3030 1010 2020 3030 6060 190190

    AppointmentsAppointments 3232 3232 3232 3232 3232 3232 192192

    a) How many stylists are required to service 32a) How many stylists are required to service 32appointments in a day?appointments in a day?

    b) What is the minimum number of stylists required perb) What is the minimum number of stylists required per

    week?week?c) Use the work shift heuristic procedure to develop thec) Use the work shift heuristic procedure to develop the

    stylists weekly work shift schedules.stylists weekly work shift schedules.

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    Example: Scheduling EmployeesExample: Scheduling EmployeesExample: Scheduling EmployeesExample: Scheduling Employees

    Number of Stylists Required per DayNumber of Stylists Required per Day

    Number of customers per dayNumber of customers per day

    Number of work hours Number of customers Number of work hours Number of customers

    per day per stylistper day per stylist served per hour per stylistserved per hour per stylist

    = 32/((8)(2)) = 2 stylists= 32/((8)(2)) = 2 stylists

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    Example: Scheduling EmployeesExample: Scheduling EmployeesExample: Scheduling EmployeesExample: Scheduling Employees

    Minimum Number of Stylists Required per Week?Minimum Number of Stylists Required per Week?

    Number of Customers per WeekNumber of Customers per Week

    Number of Customers per Stylist per WeekNumber of Customers per Stylist per Week

    = 192/((8 hr/day)(4 days/week)(2 cust./hr/stylist))= 192/((8 hr/day)(4 days/week)(2 cust./hr/stylist))

    = 192/64 = 3 stylists= 192/64 = 3 stylists

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    Example: Scheduling EmployeesExample: Scheduling EmployeesExample: Scheduling EmployeesExample: Scheduling Employees

    Stylists Weekly Work Shift SchedulesStylists Weekly Work Shift Schedules

    StylistStylist Mon.Mon. Tue.Tue. Wed.Wed. Thu.Thu. Fri.Fri. Sat.Sat.

    11 22 22 22 22 22 2222 22 22 11 11 11 11

    33 11 11 11 11 00 00

    Note: Pair of days boxed represent days off.Note: Pair of days boxed represent days off.

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    Scheduling CustomerScheduling Customer--asas--Participant ServicesParticipant ServicesScheduling CustomerScheduling Customer--asas--Participant ServicesParticipant Services

    Must provide customer ease of use/access features....Must provide customer ease of use/access features....lighting, walkways, etc.lighting, walkways, etc.

    Layouts must focus on merchandising and attractiveLayouts must focus on merchandising and attractive

    display of productsdisplay of products

    Employee performance crucial to customerEmployee performance crucial to customer

    satisfactionsatisfaction

    Waiting lines used extensively to level demandWaiting lines used extensively to level demand

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    Waiting Lines in Service OperationsWaiting Lines in Service OperationsWaiting Lines in Service OperationsWaiting Lines in Service Operations

    Waiting lines form because:Waiting lines form because:

    Demand patterns are irregular or random.Demand patterns are irregular or random.

    Service times vary among customers.Service times vary among customers.

    Managers try to strike a balance betweenManagers try to strike a balance betweenefficiently utilizing resources and keepingefficiently utilizing resources and keeping

    customer satisfaction high.customer satisfaction high.

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    Waiting Line ExamplesWaiting Line ExamplesWaiting Line ExamplesWaiting Line Examples

    Computer printing jobs waiting for printingComputer printing jobs waiting for printing

    Workers waiting to punch a time clockWorkers waiting to punch a time clock

    Customers in line at a driveCustomers in line at a drive--up windowup window

    Drivers waiting to pay a highway tollDrivers waiting to pay a highway toll Skiers waiting for a chair liftSkiers waiting for a chair lift

    Airplanes waiting to take offAirplanes waiting to take off

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    Waiting Line AnalysisWaiting Line AnalysisWaiting Line AnalysisWaiting Line Analysis

    Assists managers in determining:Assists managers in determining:

    How many servers to useHow many servers to use

    Likelihood a customer will have to waitLikelihood a customer will have to wait

    Average time a customer will waitAverage time a customer will wait Average number of customers waitingAverage number of customers waiting

    Waiting line space neededWaiting line space needed

    Percentage of time all servers are idlePercentage of time all servers are idle

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    Waiting Line TerminologyWaiting Line TerminologyWaiting Line TerminologyWaiting Line Terminology

    QueueQueue -- a waiting linea waiting line

    ChannelsChannels -- number of waiting lines in a queuingnumber of waiting lines in a queuing

    systemsystem

    Service phasesService phases number of steps in service processnumber of steps in service process Arrival rateArrival rate ((PP)) -- rate at which persons or thingsrate at which persons or things

    arrive (in arrivals per unit of time)arrive (in arrivals per unit of time)

    Service rateService rate ((QQ)) -- rate that arrivals are serviced (inrate that arrivals are serviced (in

    arrivals per unit of time)arrivals per unit of time)

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    Waiting Line TerminologyWaiting Line TerminologyWaiting Line TerminologyWaiting Line Terminology

    Queue disciplineQueue discipline -- rule that determines the order inrule that determines the order inwhich arrivals are servicedwhich arrivals are serviced

    Queue lengthQueue length number of arrivals waiting for servicenumber of arrivals waiting for service

    Time in systemTime in system an arrivals waiting timean arrivals waiting time andandservice timeservice time

    UtilizationUtilization degree to which any part of the servicedegree to which any part of the service

    system is occupied by an arrivalsystem is occupied by an arrival

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    Queuing System StructuresQueuing System StructuresQueuing System StructuresQueuing System Structures

    Single PhaseSingle Phase -- Single ChannelSingle Channel

    Single PhaseSingle Phase -- MultichannelMultichannel

    SS11

    SS11

    SS22

    SS33

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    Queuing System StructuresQueuing System StructuresQueuing System StructuresQueuing System Structures

    MultiphaseMultiphase -- Single ChannelSingle Channel

    MultiphaseMultiphase -- MultichannelMultichannel

    SS1212SS1111

    SS1212SS1111

    SS2222

    SS2121

    SS3232SS3131

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    Definitions of Queuing System VariablesDefinitions of Queuing System VariablesDefinitions of Queuing System VariablesDefinitions of Queuing System Variables

    PP = average arrival rate= average arrival rate

    1/1/PP = average time between arrivals= average time between arrivals

    = average service rate for each server= average service rate for each server

    1/1/ = average service time= average service timenn11 = average number of arrivals waiting= average number of arrivals waiting

    nnSS = average number of arrivals in the system= average number of arrivals in the system

    tt11

    = average time arrivals wait= average time arrivals wait

    ttSS = average time arrivals are in the system= average time arrivals are in the system

    PPnn

    = probability of exactly= probability of exactly nn arrivals in the systemarrivals in the system

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    Model 1Model 1

    Single channelSingle channel

    Single phaseSingle phase

    Poisson arrivalPoisson arrival--rate distributionrate distribution Poisson servicePoisson service--rate distributionrate distribution

    Unlimited maximum queue lengthUnlimited maximum queue length

    Examples:Examples:

    SingleSingle--booth theatre ticket salesbooth theatre ticket sales SingleSingle--scanner airport security stationscanner airport security station

    Queuing ModelsQueuing ModelsQueuing ModelsQueuing Models

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    Example: Queuing Model 1Example: Queuing Model 1Example: Queuing Model 1Example: Queuing Model 1

    Jim Beam pulls stock from his warehouse shelvesJim Beam pulls stock from his warehouse shelvesto fill customer orders. Customer orders arrive at ato fill customer orders. Customer orders arrive at a

    mean rate of 20 per hour. The arrival rate is Poissonmean rate of 20 per hour. The arrival rate is Poisson

    distributed. Each order received by Jim requires andistributed. Each order received by Jim requires an

    average of two minutes to pull. The service rate isaverage of two minutes to pull. The service rate isPoisson distributed also.Poisson distributed also.

    Questions to follow Questions to follow

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    Example: Queuing Model 1Example: Queuing Model 1Example: Queuing Model 1Example: Queuing Model 1

    Service Rate DistributionService Rate Distribution

    QuestionQuestion

    What is Jims mean service rate per hour?What is Jims mean service rate per hour?

    AnswerAnswerSince Jim can process an order in an average timeSince Jim can process an order in an average time

    of 2 minutes (= 2/60 hr.), then the mean serviceof 2 minutes (= 2/60 hr.), then the mean service

    rate, , equals 1/(mean service time), or60/2 =rate, , equals 1/(mean service time), or60/2 =

    30/hr.30/hr.

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    Example: Queuing Model 1Example: Queuing Model 1Example: Queuing Model 1Example: Queuing Model 1

    Average Time in the SystemAverage Time in the System

    QuestionQuestion

    What is the average time an order must wait fromWhat is the average time an order must wait fromthe time Jim receives the order until it is finishedthe time Jim receives the order until it is finishedbeing processed (i.e. its turnaround time)?being processed (i.e. its turnaround time)?

    AnswerAnswer

    WithWith PP = 20 per hour and= 20 per hour and QQ = 30 per hour, the= 30 per hour, the

    average time an order waits in the system is:average time an order waits in the system is:ttSS = 1/(= 1/( -- PP ) = 1/(30) = 1/(30 -- 20)20)

    = 1/10 hour or 6 minutes= 1/10 hour or 6 minutes

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    Example: Queuing Model 1Example: Queuing Model 1Example: Queuing Model 1Example: Queuing Model 1

    Average Length of QueueAverage Length of Queue

    QuestionQuestion

    What is the average number of orders Jim hasWhat is the average number of orders Jim haswaiting to be processed?waiting to be processed?

    AnswerAnswer

    The average number of orders waiting in theThe average number of orders waiting in thequeue is: nqueue is: n11 == PP

    22/[(/[( -- PP)])]

    = (20)= (20)22

    /[(30)(30/[(30)(30--20)]20)]= 400/300= 400/300

    = 4/3 or 1.33 orders= 4/3 or 1.33 orders

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    Example: Queuing Model 1Example: Queuing Model 1Example: Queuing Model 1Example: Queuing Model 1

    Utilization FactorUtilization Factor

    QuestionQuestion

    What percentage of the time is Jim processingWhat percentage of the time is Jim processingorders?orders?

    AnswerAnswer

    The percentage of time Jim is processing orders isThe percentage of time Jim is processing orders isequivalent to the utilization factor,equivalent to the utilization factor, PP//QQ. Thus, the. Thus, the

    percentage of time he is processing orders is:percentage of time he is processing orders is:PP//QQ = 20/30= 20/30

    = 2/3 or 66.67%= 2/3 or 66.67%

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    Queuing ModelsQueuing ModelsQueuing ModelsQueuing Models

    Model 2Model 2 Single channelSingle channel

    Single phaseSingle phase

    Poisson arrivalPoisson arrival--rate distributionrate distribution

    Constant service rateConstant service rate

    Unlimited maximum queue lengthUnlimited maximum queue length

    Examples:Examples:

    SingleSingle--booth automatic car washbooth automatic car wash Coffee vending machineCoffee vending machine

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    Example: Queuing Model 2Example: Queuing Model 2Example: Queuing Model 2Example: Queuing Model 2

    The mechanical pony ride machine at theThe mechanical pony ride machine at theentrance to a very popular Jentrance to a very popular J--Mart store provides 2Mart store provides 2minutes of riding for $.50. Children (accompanied ofminutes of riding for $.50. Children (accompanied ofcourse!) wanting to ride the pony arrive according tocourse!) wanting to ride the pony arrive according to

    a Poisson distribution with a mean rate of 15 pera Poisson distribution with a mean rate of 15 perhour.hour.

    a) What fraction of the time is the pony idle?a) What fraction of the time is the pony idle?

    b) What is the average number of children waiting tob) What is the average number of children waiting to

    ride the pony?ride the pony?c) What is the average time a child waits for a ride?c) What is the average time a child waits for a ride?

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    Example: Queuing Model 2Example: Queuing Model 2Example: Queuing Model 2Example: Queuing Model 2

    Fraction of Time Pony is IdleFraction of Time Pony is Idle

    PP = 15 per hour= 15 per hour

    QQ = 60/2 = 30 per hour= 60/2 = 30 per hour

    Utilization =Utilization = PP//QQ = 15/30 = .5= 15/30 = .5

    Idle fraction = 1Idle fraction = 1 Utilization = 1Utilization = 1 -- .5 = .5.5 = .5

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    Example: Queuing Model 2Example: Queuing Model 2Example: Queuing Model 2Example: Queuing Model 2

    Average Number of children Waiting for a RideAverage Number of children Waiting for a Ride

    Average Time a Child Waits for a RideAverage Time a Child Waits for a Ride

    or 1 minuteor 1 minute

    1

    15n . 5 children

    15!

    1

    15t = = .01667 hours

    2(-) 2(30)(30 - 15)!

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    Queuing ModelsQueuing ModelsQueuing ModelsQueuing Models

    Model 3Model 3 Single channelSingle channel

    Single phaseSingle phase

    Poisson arrivalPoisson arrival--rate distributionrate distribution

    Poisson servicePoisson service--rate distributionrate distribution

    Limited maximum queue lengthLimited maximum queue length

    Examples:Examples:

    Auto repair shop with limited parking spaceAuto repair shop with limited parking space Bank driveBank drive--thru with limited waiting lanethru with limited waiting lane

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    Queuing ModelsQueuing ModelsQueuing ModelsQueuing Models

    Model 4Model 4 Multiple channelMultiple channel

    Single phaseSingle phase

    Poisson arrivalPoisson arrival--rate distributionrate distribution

    Poisson servicePoisson service--rate distributionrate distribution

    Unlimited maximum queue lengthUnlimited maximum queue length

    Examples:Examples:

    Expressway exit with multiple toll boothsExpressway exit with multiple toll booths Bank with multiple teller stationsBank with multiple teller stations

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    Scheduling CustomerScheduling Customer--asas--Product ServicesProduct ServicesScheduling CustomerScheduling Customer--asas--Product ServicesProduct Services

    Wide range of complexityWide range of complexity

    Every facet designed around the customerEvery facet designed around the customer

    Highly trained, motivated, and effective workforceHighly trained, motivated, and effective workforce

    critical to successcritical to success WaitingWaiting--line analysis can be helpful in determiningline analysis can be helpful in determining

    staffing levelsstaffing levels

    In more complex operations, simulation is a helpfulIn more complex operations, simulation is a helpful

    tool in scheduling resourcestool in scheduling resources

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    Reasons for Simulating OperationsReasons for Simulating OperationsReasons for Simulating OperationsReasons for Simulating Operations

    Experimentation with the real system is impossible,Experimentation with the real system is impossible,impractical, or uneconomical.impractical, or uneconomical.

    System is so complex that mathematical formulasSystem is so complex that mathematical formulas

    cannot be developed.cannot be developed.

    Values of the systems variables are not known withValues of the systems variables are not known with

    certainty.certainty.

    Problem under consideration involves the passage ofProblem under consideration involves the passage of

    time and simulation could be fastertime and simulation could be faster

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    Procedures of Computer SimulationProcedures of Computer SimulationProcedures of Computer SimulationProcedures of Computer Simulation

    Define the problem.Define the problem. Develop and computerDevelop and computer--program a model of problem.program a model of problem.

    Identify the variables and parameters.Identify the variables and parameters.

    Specify the decision rules.Specify the decision rules.

    Gather data and specify variables and parameters.Gather data and specify variables and parameters.

    Specify timeSpecify time--incrementing procedures.incrementing procedures.

    Specify summarizing procedures.Specify summarizing procedures.

    Process the simulation.Process the simulation. Evaluate the results of the simulation.Evaluate the results of the simulation.

    Recommend a course of action.Recommend a course of action.

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    Simulation ExampleSimulation ExampleSimulation ExampleSimulation Example

    Whenever an international plane arrives atWhenever an international plane arrives atLincoln airport the two customs inspectors on dutyLincoln airport the two customs inspectors on duty

    set up operations to process the passengers.set up operations to process the passengers.

    Incoming passengers must first have theirIncoming passengers must first have their

    passports and visas checked. This is handled by onepassports and visas checked. This is handled by one

    inspector. The time required to check a passenger'sinspector. The time required to check a passenger's

    passports and visas can be described by thepassports and visas can be described by the

    probability distribution on the next slide.probability distribution on the next slide.

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    Simulation ExampleSimulation ExampleSimulation ExampleSimulation Example

    Time Required toTime Required to

    Check a Passenger'sCheck a Passenger's

    Passport and VisaPassport and Visa ProbabilityProbability

    20 seconds20 seconds.20

    .20

    40 seconds40 seconds .40.40

    60 seconds60 seconds .30.30

    80 seconds80 seconds .10.10

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    Simulation ExampleSimulation ExampleSimulation ExampleSimulation Example

    After having their passports and visas checked,After having their passports and visas checked,the passengers next proceed to the second customsthe passengers next proceed to the second customs

    official who does baggage inspections. Passengersofficial who does baggage inspections. Passengers

    form a single waiting line with the official inspectingform a single waiting line with the official inspecting

    baggage on a first come, first served basis.baggage on a first come, first served basis.

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    Simulation ExampleSimulation ExampleSimulation ExampleSimulation Example

    The time required for baggage inspection has theThe time required for baggage inspection has thefollowing probability distribution:following probability distribution:

    Time Required ForTime Required For

    Baggage InspectionBaggage Inspection ProbabilityProbability

    No Time .25No Time .25

    1 minute .601 minute .60

    2 minutes .102 minutes .10

    3 minutes .053 minutes .05

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    Simulation ExampleSimulation ExampleSimulation ExampleSimulation Example

    Random Number MappingRandom Number Mapping

    Time Required toTime Required to

    Check a Passenger's RandomCheck a Passenger's Random

    Passport and VisaPassport and Visa ProbabilityProbability NumbersNumbers

    20 seconds .20 0020 seconds .20 00 -- 1919

    40 seconds .40 2040 seconds .40 20 -- 5959

    60 seconds .30 6060 seconds .30 60 -- 8989

    80 seconds .1080 seconds .10 9090 -- 9999

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    Simulation ExampleSimulation ExampleSimulation ExampleSimulation Example

    Random Number MappingRandom Number Mapping

    Time Required For RandomTime Required For Random

    Baggage InspectionBaggage Inspection ProbabilityProbability NumbersNumbers

    No Time .25 00No Time .25 00 -- 24241 minute .60 251 minute .60 25 -- 8484

    2 minutes .10 852 minutes .10 85 -- 9494

    3 minutes .05 953 minutes .05 95 -- 9999

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    Simulation ExampleSimulation ExampleSimulation ExampleSimulation Example

    NextNext--Event Simulation RecordsEvent Simulation Records

    For each passenger the following information must beFor each passenger the following information must be

    recorded:recorded:

    When his service begins at the passport controlWhen his service begins at the passport controlinspectioninspection

    The length of time for this serviceThe length of time for this service

    When his service begins at the baggage inspectionWhen his service begins at the baggage inspection

    The length of time for this serviceThe length of time for this service

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    Simulation ExampleSimulation ExampleSimulation ExampleSimulation Example

    Time RelationshipsTime Relationships

    Time a passenger begins serviceTime a passenger begins service

    by the passport inspectorby the passport inspector

    = (Time the previous passenger= (Time the previous passengerstarted passport service)started passport service)

    + (Time of previous passenger's+ (Time of previous passenger's

    passport service)passport service)

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    Simulation ExampleSimulation ExampleSimulation ExampleSimulation Example

    Time RelationshipsTime Relationships

    Time a passenger begins serviceTime a passenger begins service

    by the baggage inspectorby the baggage inspector

    (If passenger does not wait for baggage inspection)(If passenger does not wait for baggage inspection)= (Time passenger completes service= (Time passenger completes service

    with the passport control inspector)with the passport control inspector)

    (If the passenger does wait for baggage inspection)(If the passenger does wait for baggage inspection)

    = (Time previous passenger completes= (Time previous passenger completes

    service with the baggage inspector)service with the baggage inspector)

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    Simulation ExampleSimulation ExampleSimulation ExampleSimulation Example

    Time RelationshipsTime RelationshipsTime a customer completes serviceTime a customer completes service

    at the baggage inspectorat the baggage inspector

    = (Time customer begins service with= (Time customer begins service withbaggage inspector)baggage inspector)

    + (Time required for baggage inspection)+ (Time required for baggage inspection)

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    Simulation ExampleSimulation ExampleSimulation ExampleSimulation Example

    A chartered plane from abroad lands at LincolnA chartered plane from abroad lands at LincolnAirport with 80 passengers. Simulate the processingAirport with 80 passengers. Simulate the processing

    of the first 10 passengers through customs.of the first 10 passengers through customs.

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    Simulation ExampleSimulation ExampleSimulation ExampleSimulation Example

    Simulation Worksheet (partial)Simulation Worksheet (partial)

    Passport ControlPassport Control Baggage InspectionsBaggage Inspections

    Pass. Time Ran. Serv. Time Time Ran. Serv. TimePass. Time Ran. Serv. Time Time Ran. Serv. Time

    Num.

    Beg.

    Num.

    Time End Beg.

    Num.

    Time EndNum.

    Beg.

    Num.

    Time End Beg.

    Num.

    Time End1 0:00 93 1:20 1:20 1:20 13 0:00 1:201 0:00 93 1:20 1:20 1:20 13 0:00 1:20

    2 1:20 63 1:00 2:20 2:20 08 0:00 2:202 1:20 63 1:00 2:20 2:20 08 0:00 2:20

    3 2:20 26 :40 3:00 3:00 60 1:00 4:003 2:20 26 :40 3:00 3:00 60 1:00 4:00

    43:00 1

    6:20 3:20

    4:00 13 0:00

    4:00

    43:00 1

    6:20 3:20

    4:00 13 0:00

    4:00

    5 3:20 21 :40 4:00 4:00 68 1:00 5:005 3:20 21 :40 4:00 4:00 68 1:00 5:00

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    Simulation ExampleSimulation ExampleSimulation ExampleSimulation Example

    Simulation Worksheet (continued)Simulation Worksheet (continued)

    Passport ControlPassport Control Baggage InspectionsBaggage Inspections

    Pass. Time Ran. Serv. Time Time Ran. Serv. TimePass. Time Ran. Serv. Time Time Ran. Serv. Time

    Num.

    Beg.

    Num.

    Time End Beg.

    Num.

    Time EndNum.

    Beg.

    Num.

    Time End Beg.

    Num.

    Time End6 4:00 26 :40 4:40 5:00 40 1:00 6:006 4:00 26 :40 4:40 5:00 40 1:00 6:00

    7 4:40 70 1:00 5:40 6:00 40 1:00 7:007 4:40 70 1:00 5:40 6:00 40 1:00 7:00

    8 5:40 55 :40 6:20 7:00 27 1:00 8:008 5:40 55 :40 6:20 7:00 27 1:00 8:00

    9 6:20 72 1:00 7:20 8:00 23 0:00 8:009 6:20 72 1:00 7:20 8:00 23 0:00 8:00

    10 7:20 89 1:00 8:20 8:20 64 1:00 9:2010 7:20 89 1:00 8:20 8:20 64 1:00 9:20

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    Simulation ExampleSimulation ExampleSimulation ExampleSimulation Example

    ExplanationExplanationFor example, passenger 1 begins being served byFor example, passenger 1 begins being served by

    the passport control inspector immediately. Histhe passport control inspector immediately. His

    service time is 1:20 (80 seconds) at which time heservice time is 1:20 (80 seconds) at which time he

    goes immediately to the baggage inspector whogoes immediately to the baggage inspector who

    waves him through without inspection.waves him through without inspection.

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    Simulation ExampleSimulation ExampleSimulation ExampleSimulation Example

    ExplanationExplanationPassenger 2 begins service with passportPassenger 2 begins service with passport

    inspector 1:20 minutes (80 seconds) after arrivinginspector 1:20 minutes (80 seconds) after arriving

    there (as this is when passenger 1 is finished) andthere (as this is when passenger 1 is finished) and

    requires 1:00 minute (60 seconds) for passportrequires 1:00 minute (60 seconds) for passportinspection. He is waved through baggage inspectioninspection. He is waved through baggage inspection

    as well.as well.

    This process continues in this manner.This process continues in this manner.

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    Simulation ExampleSimulation ExampleSimulation ExampleSimulation Example

    QuestionQuestionHow long will it take for the first 10 passengersHow long will it take for the first 10 passengers

    to clear customs?to clear customs?

    AnswerAnswer

    Passenger 10 clears customs after9 minutes andPassenger 10 clears customs after9 minutes and

    20 seconds.20 seconds.

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    Simulation ExampleSimulation ExampleSimulation ExampleSimulation Example

    QuestionQuestionWhat is the average length of time a customerWhat is the average length of time a customer

    waits before having his bags inspected after he clearswaits before having his bags inspected after he clears

    passport control? How is this estimate biased?passport control? How is this estimate biased?

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    Simulation ExampleSimulation ExampleSimulation ExampleSimulation Example

    AnswerAnswerFor each passenger calculate his waiting time:For each passenger calculate his waiting time:

    (Baggage Inspection Begins)(Baggage Inspection Begins) -- (Passport Control(Passport Control

    Ends)Ends) =0+0+0+40+0+20+20+40+40+0 = 120=0+0+0+40+0+20+20+40+40+0 = 120

    seconds.seconds.

    120/10 = 12 seconds per passenger.120/10 = 12 seconds per passenger.

    This is a biased estimate because we assume thatThis is a biased estimate because we assume that

    the simulation began with the system empty. Thus,the simulation began with the system empty. Thus,the results tend to underestimate the average waitingthe results tend to underestimate the average waiting

    time.time.

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    WrapWrap--Up: WorldUp:World--Class PracticeClass PracticeWrapWrap--Up: WorldUp:World--Class PracticeClass Practice

    Successful companies have:Successful companies have: Adapted advanced and wellAdapted advanced and well--known planning,known planning,

    analyzing, and controlling approaches firstanalyzing, and controlling approaches firstdeveloped in manufacturingdeveloped in manufacturing

    Recognized the unique properties of serviceRecognized the unique properties of serviceoperations and developed novel managementoperations and developed novel managementapproaches for these operationsapproaches for these operations

    Classify service operations into three types... quasiClassify service operations into three types... quasi

    manufacturing, customermanufacturing, customer--asas--participant, orparticipant, orcustomercustomer--asas--product...provides framework forproduct...provides framework foranalysis.analysis.

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    WrapWrap--Up:WorldUp:World--Class PracticeClass PracticeWrapWrap--Up:WorldUp:World--Class PracticeClass Practice

    Factors that create satisfied customersFactors that create satisfied customers Extrinsic quality of servicesExtrinsic quality of services

    The facilities...comfort, convenience, andThe facilities...comfort, convenience, andatmosphereatmosphere

    The chemistry between customer and people inThe chemistry between customer and people inservice system...friendliness and courtesyservice system...friendliness and courtesy

    Skill, competence, and professionalism of theSkill, competence, and professionalism of thepersonnelpersonnel

    The value of the service; cost relative to theThe value of the service; cost relative to thequantity of services receivedquantity of services received

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    End of Chapter 9End of Chapter 9End of Chapter 9End of Chapter 9