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    5. Strategic

    Capacity Planning

    Dr. Ron LembkeOperations Management

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    Ideal Capacity of a Process

    What is the capacity of the system?

    Should we add any capacity?

    How should we run the system? Where should we keep inventory?

    50/hr 20/hr 10/hr 40/hr

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    Ideal Capacity of a Process

    What is the capacity of the system?

    6 min 5 min 4 min 5 min

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    What Would Henry Say?

    Ford introduced the $5 (per day) wage in 1914

    He introduced the 40 hour work week

    so people would have more time to buy It also meant more output: 3*8 > 2*10

    Now we know from our experience in changing fromsix to five days and back again that we can get at

    least as great production in five days as we can in six,and we shall probably get a greater, for the pressurewill bring better methods.

    Crowther, Worlds Work, 1926

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    Forty Hour Week

    Ernst Abbe, Karl Zeissoptics

    1896: as much done in9 as in 8.

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    How much do we have?

    Design capacity: max output designed for

    Effective Capacity

    We can only sustain so much effort.Output level process designed for

    Lowest cost per unit

    Efficiency = Actual OutputEffective Capacity

    Possible to run > 1.0 for long

    Utilization = Actual Output/Design Capacity

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    Marginal Output of Time

    As you work more hours, your productivityper hour goes down

    Eventually, it goes negative.

    Chapman, 1909

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    Time Horizons

    Long-Range: over a yearacquiring,disposing of production resources

    Intermediate Range: Monthly or quarterlyplans, hiring, firing, layoffs

    Short Rangeless than a month, daily or

    weekly scheduling process, overtime,worker scheduling, etc.

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    Adding Capacity

    Expensive to add capacity

    A few large expansions are cheaper (per

    unit) than many small additions

    Large expansions allow of clean sheet of

    paper thinking, re-design of processes

    Carry unused overhead for a long time

    May never be needed

    Small expansions may pave the cow path

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    Capacity Planning How much capacity should we add? Conservative Optimistic

    Forecast possible demand scenarios(Chapter 10)

    Determine capacity needed for likely levels

    Determine capacity cushion desired

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    Capacity Sources

    In addition to expanding facilities:

    Two or three shifts

    Outsourcing non-core activities

    Training or acquisition of faster equipment

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    Cost-Volume Analysis

    FC = Fixed Cost

    v = variable cost per unit

    Q = quantity

    R = revenue per unit

    R-v=contrib. margin

    FC+VC*Q

    Volume, Q

    R*Q

    Break-Even

    Point

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    Cost Volume Analysis

    Solve for Break-Even Point

    For profit of P,

    Q = P + FC

    R - v

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    Decision Trees

    Consider different possible decisions, anddifferent possible outcomes

    Compute expected profits of each decision

    Choose decision with highest expectedprofits, work your way back up the tree.

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    Draw the decision tree

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    Working Right to Left, eliminate anyPossible decisions we can.

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    Compute Expected Values ofRemaining Decisions

    Build small

    = 0.4 * $40 + 0.6 * $55= $16 + $33 = $49

    Build large= 0.4 * $50 + 0.6 * $70= $20 + $42 = $62

    $49

    $62

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    Decision Trees Example

    Computer store thinks demand may grow. Expansion costs $87k, new site $210k, and would cost same if

    wait a year New site:

    55% chance of profits of $195k. 45% chance of $115k profits.

    Expand Current 55% chance of $190k profits 45% chance of $100k profits

    Wait and see- enlarge store next year if demand grows If high demand, $190k with expanded store If high demand, $170 with current store If weak demand, $105k with current store

    Find the expected profits over 5 years, choose best one.

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    Decision Trees

    Decision point

    Chance events

    Outcomes

    Calculate expected value of each chanceevent, starting at far right

    Working our way back toward thebeginning, choosing highest expectedoutcome at each decision

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    Decision Trees

    Revenue - Move Cost

    Revenue - Move Cost

    Revenue Expand Cost

    Revenue Expand CostWeak Growth

    Weak Growth

    Strong Growth

    Strong Growth

    Move

    Expand

    Revenue

    Rev

    Expand Cost

    Rev - Expand Cost

    0.45

    0.55

    0.55

    0.45

    WaitandSee

    Weak Growth

    Strong Growth0.55

    0.45

    Expand

    Do nothing

    HackersComputerStore

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    Possible 5 year Revenues

    New, growth: 195*5210 = 765

    New, low: 115*5210 = 365 Expand, growth: 190*587 = 863

    Expand, low: 100*587 = 413

    Wait, strong, expand: 170+190*4-87=843 Wait, strong, do nothing: 170*5 = 850

    Wait, low, do nothing: 105*5 = 525

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    Decision Trees

    765

    365

    863

    413Weak Growth

    Weak Growth

    Strong Growth

    Strong Growth

    Move

    Expand

    525

    843

    850

    0.45

    0.55

    0.55

    0.45

    WaitandSee

    Weak Growth

    Strong Growth0.55

    0.45

    Expand

    Do nothing

    HackersComputerStore

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    Making the Decision

    Starting at the far right, look at the Wait

    and See option. If demand is strong, we

    would obviously not expand. $850k is better than $843.

    Eliminate the Expand option

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    Decision Trees

    765

    365

    863

    413Weak Growth

    Weak Growth

    Strong Growth

    Strong Growth

    Move

    Expand

    525

    843

    850

    0.45

    0.55

    0.55

    0.45

    WaitandSee

    Weak Growth

    Strong Growth0.55

    0.45

    Expand

    Do nothing

    HackersComputerStore

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    Expected Values

    Move:

    0.55* 765 + 0.45*365 = $585,000

    Wait and See:0.55*850 + 0.45*525 = $703,750

    Expand:

    0.55 * 863 + 0.45 * 413 = $660,500

    Highest expected value is to Wait and see,and either way, do nothing!

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    Decision Trees

    765

    365

    863

    413Weak Growth

    Weak Growth

    Strong Growth

    Strong Growth

    Move

    Expand

    525

    843

    850

    0.45

    0.55

    0.55

    0.45

    WaitandSee

    Weak Growth

    Strong Growth0.55

    0.45

    Expand

    Do nothing

    HackersComputerStore

    $585,000

    660,500

    703,750

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    Time Value of Money?

    Another criteria to use is to pick the onewith the highest down side.

    Under this, do nothing still wins.

    We could also consider the expectedvalue of the future cash streams.

    PV = $100/(1+r) = $100/(1.16)=$86.27

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    Decision Tree-NPV

    428,487

    166,544

    535,116

    240,429Weak Growth

    Weak Growth

    Strong Growth

    Strong Growth

    Move

    Expand

    343,801

    529,874

    556,630

    0.45

    0.55

    0.55

    0.45

    WaitandSee

    Weak Growth

    Strong Growth0.55

    0.45

    Expand

    Do nothing

    HackersComputerStore

    $310,613

    402,507

    460,857

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    Real Options

    Assess the value to me of being able tochange my mind in the future

    Changed problem slightly -Reduced benefit doing nothing, high demand

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    Decision Trees765

    365

    863

    413

    Weak

    StrongMove

    Expand

    525

    843

    820

    0.25

    0.75

    Wait and See

    Expand

    Do nothing

    Hackers

    ComputerStore

    Weak

    Strong0.25

    0.75

    Weak

    Strong0.25

    0.75

    $465,000

    533,000

    604,500

    820

    525Weak

    Strong0.25

    0.75

    Do Nothing

    598,750

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    Real Options

    If we didnt have the wait and see option,

    we would Do Nothing.

    Option to wait and see is worth $5,750

    Move

    Expand

    Wait and See

    465,000

    533,000

    604,500

    Do Nothing 598,750$5,750