Inventory Control !!

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    Inventory Management

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    Elements of Inventory Management Inventory Control Systems Economic Order Quantity Models Quantity Discounts

    Reorder Point Order Quantity for a Periodic Inventory

    System

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    Stock of items kept to meet future demand Purpose of inventory management

    how many units to order

    when to order

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    Bullwhip effect demand information is distorted as it moves awayfrom the end-use customer

    higher safety stock inventories to are stored tocompensate

    Seasonal or cyclical demand Inventory provides independence from

    vendors Take advantage of price discounts Inventory provides independence between

    stages and avoids work stoppages

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    Customers usually perceive quality service asavailability of goods they want when theywant them

    Inventory must be sufficient to provide high-

    quality customer service in QM

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    Raw materials Purchased parts and supplies

    Work-in-process (partially completed)products (WIP)

    Items being transported Tools and equipment

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    Dependent Demand for items used to produce final

    products

    Tires for autos are a dependent demand item

    Independent Demand for items used by external

    customers

    Cars, appliances, computers, and houses areexamples of independent demand inventory

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    Carrying cost cost of holding an item in inventory

    Ordering cost cost of replenishing inventory

    Shortage cost temporary or permanent loss of sales when

    demand cannot be met

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    Continuous system (fixed-order-quantity) constant amount ordered when inventory declines

    to predetermined level

    Periodic system (fixed-time-period) order placed for variable amount after fixed

    passage of time

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    Class A 5 15 % of units

    70 80 % of value

    Class B

    30 % of units 15 % of value

    Class C 50 60 % of units

    510 % of value

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    1 $ 60 902 350 403 30 130

    4 80 605 30 1006 20 1807 10 1708 320 50

    9 510 6010 20 120

    PART UNIT COST ANNUAL USAGE

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    Example 10.1

    9 $30,600 35.9 6.0 6.08 16,000 18.7 5.0 11.02 14,000 16.4 4.0 15.01 5,400 6.3 9.0 24.0

    4 4,800 5.6 6.0 30.03 3,900 4.6 10.0 40.06 3,600 4.2 18.0 58.05 3,000 3.5 13.0 71.0

    10 2,400 2.8 12.0 83.0

    7 1,700 2.0 17.0 100.0

    TOTAL % OF TOTAL % OF TOTAL

    PART VALUE VALUE QUANTITY % CUMMULATIVE

    A

    B

    C

    $85,400

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    Example 10.1

    % OF TOTAL % OF TOTALCLASS ITEMS VALUE QUANTITY

    A 9, 8, 2 71.0 15.0B 1, 4, 3 16.5 25.0

    C 6, 5, 10, 7 12.5 60.0

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    EOQ optimal order quantity that will

    minimize total inventory costs

    Basic EOQ model

    Production quantity model

    13-14

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    Demand is known with certainty and isconstant over time No shortages are allowed Lead time for the receipt of orders is constant

    Order quantity is received all at once

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    Demandrate

    TimeLeadtime

    Leadtime

    Orderplaced

    Orderplaced

    Orderreceipt

    Orderreceipt

    Inve

    ntory

    Level

    Reorder point, R

    Order quantity, Q

    0

    Averageinventory

    Q

    2

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    Co- cost of placing order D- annual demandC

    c- annual per-unit carrying cost Q- order quantity

    Annual ordering cost =C

    oD

    Q

    Annual carrying cost =C

    cQ

    2

    Total cost = +C

    oD

    Q

    CcQ

    2

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    TC = +C

    oD

    Q

    CcQ

    2

    = +C

    oD

    Q2

    Cc

    2

    TC

    Q

    0 = +C

    0D

    Q2

    Cc

    2

    Qopt=

    2CoD

    Cc

    Deriving Qopt Proving equality ofcosts at optimal point

    =C

    oD

    Q

    CcQ

    2

    Q2 =2CoD

    Cc

    Qopt=2C

    oD

    Cc

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    Order Quantity, Q

    Annualcost ($) Total Cost

    Carrying Cost =C

    cQ

    2

    Slope = 0

    Minimum

    total cost

    Optimal orderQopt

    Ordering Cost =C

    oD

    Q

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    Cc= $0.75 per gallon Co= $150 D= 10,000 gallons

    Qopt=2C

    oD

    Cc

    Qopt=2(150)(10,000)

    (0.75)

    Qopt= 2,000 gallons

    TCmin= +C

    oD

    Q

    CcQ

    2

    TCmin= +(150)(10,000)

    2,000

    (0.75)(2,000)

    2

    TCmin= $750 + $750 = $1,500

    Orders per year = D/Qopt

    = 10,000/2,000

    = 5 orders/year

    Order cycle time = 311 days/(D/Qopt)

    = 311/5

    = 62.2 store days

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    Order is received gradually, as inventory issimultaneously being depleted AKA non-instantaneous receipt model

    assumption that Q is received all at once is

    relaxed

    p - daily rate at which an order is receivedover time, a.k.a. production rate

    d - daily rate at which inventory isdemanded

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    Q(1-d/p)

    Inventorylevel

    (1-d/p)Q

    2

    Time0

    Orderreceipt period

    Beginorder

    receipt

    Endorder

    receipt

    Maximuminventorylevel

    Averageinventorylevel

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    p= production rate d= demand rate

    Maximum inventory level = Q- d

    = Q1 -

    Q

    p

    d

    p

    Average inventory level = 1 -Q

    2d

    p

    TC= + 1 - dp

    CoDQ CcQ2

    Qopt=2CoD

    Cc 1 -

    d

    p

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    Cc= $0.75 per gallon C

    o= $150 D= 10,000 gallons

    d= 10,000/311 = 32.2 gallons per day p= 150 gallons per day

    Qopt= = = 2,256.8 gallons

    2CoD

    Cc

    1 - dp

    2(150)(10,000)

    0.75 1 - 32.2150

    TC= + 1 - = $1,329d

    p

    CoD

    Q

    CcQ

    2

    Production run = = = 15.05 days per orderQ

    p

    2,256.8

    150

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    Number of production runs = = = 4.43 runs/yearDQ

    10,0002,256.8

    Maximum inventory level = Q 1 - = 2,256.8 1 -

    = 1,772 gallons

    d

    p32.2150

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    The optimal order

    size, Q, in cell D8

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    The formula for Qin cell D10

    =(D4*D5/D10)+(D3*D10/2)*(1-(D7/D8))

    =D10*(1-(D7/D8))

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    Price per unit decreases as orderquantity increases

    TC= + + PDC

    oD

    Q

    CcQ

    2

    where

    P= per unit price of the itemD= annual demand

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    Qopt

    Carrying cost

    Ordering cost

    Inventoryc

    ost($)

    Q(d1 ) = 100 Q(d2 ) = 200

    TC (d2 = $6 )

    TC(d1 = $8 )

    TC = ($10 )ORDER SIZE PRICE

    0 - 99 $10

    100 199 8 (d1)

    200+ 6 (d2)

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    QUANTITY PRICE

    1 - 49 $1,400

    50 - 89 1,100

    90+ 900

    Co= $2,500

    Cc= $190 per TV

    D= 200 TVs per year

    Qopt= = = 72.5 TVs2CoD

    Cc

    2(2500)(200)

    190

    TC= + + PD = $233,784C

    oD

    Qopt

    CcQopt

    2

    For Q= 72.5

    TC= + + PD = $194,105C

    oD

    Q

    CcQ

    2

    For Q= 90

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    =(D4*D5/E10)+(D3*E10/2)+C10*D5=IF(D10>B10,D10,B10)

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    Inventory level at which a new order is placed

    R= dLwhere

    d= demand rate per periodL= lead time

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    Demand = 10,000 gallons/yearStore open 311 days/year

    Daily demand = 10,000 / 311 = 32.154

    gallons/dayLead time = L = 10 days

    R = dL = (32.154)(10) = 321.54 gallons

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    Safety stock buffer added to on hand inventory during lead

    time

    Stockout an inventory shortage

    Service level probability that the inventory available during

    lead time will meet demand

    P(Demand during lead time

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    Reorderpoint, R

    Q

    LT

    Time

    LT

    Inve

    ntory

    level

    0

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    Reorderpoint, R

    Q

    LTTime

    LT

    Inventory

    level

    0

    Safety Stock

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    R= dL+ zd L

    where

    d= average daily demand

    L= lead timed= the standard deviation of daily demandz= number of standard deviations

    corresponding to the service level

    probabilityzd L = safety stock

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    Probability ofmeeting demand duringlead time = service level

    Probability ofa stockout

    R

    Safety stock

    dLDemand

    zd L

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    The paint store wants a reorder point with a 95%service level and a 5% stockout probability

    d= 30 gallons per dayL= 10 days

    d= 5 gallons per day

    For a 95% service level, z= 1.65

    R= dL+ zd L

    = 30(10) + (1.65)(5)( 10)= 326.1 gallons

    Safety stock = zd L

    = (1.65)(5)( 10)= 26.1 gallons

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    The reorder point

    formula in cell E7

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    Q= d(tb+ L) + zd tb+ L - I

    where

    d = average demand ratetb = the fixed time between ordersL = lead timed = standard deviation of demand

    zd tb+ L = safety stock

    I = inventory level

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    d= 6 packages per dayd= 1.2 packagestb= 60 daysL= 5 days

    I= 8 packagesz= 1.65 (for a 95% service level)

    Q= d(tb+ L) + zd tb+ L -I

    = (6)(60 + 5) + (1.65)(1.2) 60 + 5 - 8

    = 397.96 packages

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    Formula for ordersize, Q, in cell D10