6. managing demand capacity

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  • 8/2/2019 6. Managing Demand Capacity

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    Slide2004 by Christopher Lovelock and Jochen Wirtz Services Marketing 5/E 9 - 1

    Balancing Demand

    and Capacity

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    Slide2004 by Christopher Lovelock and Jochen Wirtz Services Marketing 5/E 9 - 2

    Relating Demand to Capacity:Four Key Concepts

    Excess demand: too much demand relative to capacity at agiven time

    Excess capacity: too much capacity relative to demand at agiven time

    Maximum capacity: upper limit to a firms ability to meetdemand at a given time

    Optimum capacity: point beyond which service qualitydeclines as more customers are serviced

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    Slide2004 by Christopher Lovelock and Jochen Wirtz Services Marketing 5/E 9 - 3

    Variations in Demand Relative to Capacity(Fig. 9-1)

    VOLUME DEMANDED

    TIME CYCLE 1 TIME CYCLE 2

    Maximum AvailableCapacity

    Optimum Capacity(Demand and Supply

    Well Balanced

    Low Utilization(May Send Bad Signals)

    Demand exceeds capacity(business is lost)

    Demand exceedsoptimum capacity(quality declines)

    Excess capacity(wasted resources)

    CAPACITY UTILIZED

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    Slide2004 by Christopher Lovelock and Jochen Wirtz Services Marketing 5/E 9 - 4

    Defining Productive Capacityin Services

    Physical facilities to contain customers

    Physical facilities to store or process goods

    Physical equipment to process people, possessions, orinformation

    Labor used for physical or mental work

    Public/private infrastructuree.g., highways, airports,electricity

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    Slide2004 by Christopher Lovelock and Jochen Wirtz Services Marketing 5/E 9 - 5

    Alternative Capacity Management Strategies

    Level capacity (fixed level at all times)

    Stretch and shrink offer inferior extra capacity at peaks (e.g. bus/metro standees) vary seated space per customer (e.g. elbow room, leg room)

    extend/cut hours of service

    Chase demand (adjust capacity to match demand) schedule downtime in low demand periods use part-time employees rent or share extra facilities and equipment cross-train employees

    Flexible Capacity (vary mix by segment)

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    Slide2004 by Christopher Lovelock and Jochen Wirtz Services Marketing 5/E 9 - 6

    Predictable Demand Patterns andTheir Underlying Causes (Table 9-1)

    Predictable Cyclesof Demand Levels

    dayweekmonthyearother

    Underlying Causes ofCyclical Variations

    employment

    billing or taxpayments/refunds

    pay days

    school hours/holidays

    seasonal climate changes

    public/religious holidays

    natural cycles(e.g. coastal tides)

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    Causes of Seemingly Random Changes inDemand Levels

    Weather

    Health problems

    Accidents, Fires, Crime

    Natural disasters

    Question:which of theseevents can be predicted?

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    Alternative Demand Management Strategies(Table 9-2)

    Take no action let customers sort it out

    Reduce demand higher prices

    communication promoting alternative times

    Increase demand lower prices communication, including promotional incentives vary product features to increase desirability

    more convenient delivery times and places

    Inventory demand by reservation system

    Inventory demand by formalized queueing

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    Avoiding Burdensome Waits for Customers

    Add extra capacity so that demand can be met at mosttimes (problem: may add too many costs)

    Rethink design of queuing system to give priority to certaincustomers or transactions

    Redesign processes to shorten transaction time

    Manage customer behavior and perceptions of wait

    Install a reservations system

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    Alternative Queuing Configurations (Fig. 9-4)

    Single line, single server, single stage

    Single line, single servers at sequential stages

    Parallel lines to multiple servers

    Designated lines to designated servers

    Single line to multiple servers (snake)

    Take a number (single or multiple servers)28

    2921

    20

    24

    23

    30 25

    3126

    2732

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    Tailoring Queuing Systems to Market Segments:Criteria for Allocation to Designated Lines

    Urgency of job

    emergencies vs. non-emergencies

    Duration of service transaction

    number of items to transact complexity of task

    Payment of premium price

    First class vs. economy

    Importance of customer frequent users/loyal customers vs. others

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    Ten Propositions on the Psychology of WaitingLines (Table 9-3)

    1. Unoccupied time feels longer2. Preprocess/postprocess waiting feel longer than in-

    process

    3. Anxiety makes waiting seem longer

    4. Uncertain waiting is longer than known, finite waiting5. Unexplained waiting seems longer

    6. Unfair waiting is longer than equitable waiting

    7. People will wait longer for more valuable services

    8. Waiting alone feels longer than in groups

    9. Physically uncomfortable waiting feels longer

    10. Waiting seems longer to new or occasional users

    Sources: Maister; Davis & Heineke; Jones & Peppiatt

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    Benefits of Effective Reservations Systems

    Controls and smoothes demand

    Pre-sells service

    Informs and educates customers in advance of arrival

    Customers avoid waiting in line for service (if service timesare honored)

    Data capture helps organizations prepare financialprojections

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    Characteristics of Well-designedReservations Systems

    Fast and user friendly for customers and staff

    Can answer customer questions

    Offers options for self service (e.g. Web)

    Accommodates preferences (e.g., room with view)

    Deflects demand from unavailable first choices toalternative times and locations

    Includes strategies for no-shows and overbooking requiring deposits to discourage no-shows canceling unpaid bookings after designated time compensating victims of over-booking

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    Information Needed for Demand andCapacity Management Strategies

    Historical data on demand level and composition, notingresponses to marketing variables

    Demand forecasts by segment under specified conditions

    Fixed and variable cost data, profitability of incrementalsales

    Site-by-site demand variations

    Customer attitudes towards queuing

    Customer evaluations of quality at different levels ofcapacity utilization