SCK3153 Lec 6 Single Order Quantities

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    SINGLE ORDER QUANTITIY MODELS

    SCI 3133Inventory Control and MRP

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    2009 by Dr Mohammad Ishak Desa FSKSM, UTM

    For it wit onlyone repleni ent.

    Items reor ered for specific timeperiod to

    satisfydemandduring t at period. e itemsusually aveveryshort lifeandhighly

    perishablebut highlydemanded.

    Eg:Fresh fish, newspaper, Christmas tree, flowers

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    To determine the best val e of Q, quantity to order,

    for a single cycle. g ne spaper.

    The objective is to maximize expected profit and

    minimized expected loss.

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    The expected profit on the Qth unit is

    = Probability selling the unit x Profit made from selling it.

    = Prob (D Q) x (SP-U )

    The expected loss on the Qth unit is

    = Probability not selling the unit x loss incurred for not

    selling.= Prob (D < Q) x (U -SV)

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    Only buy (Order) Q units henthe expected profit > the expected loss

    Prob (D Q) x (SP-U ) Prob (D < Q) x (U -SV)

    (1 Prob (D Q)) x (U -SV)

    Or (Prob (D Q) x SP) (Prob (D Q) x U ) (U -SV) ((Prob (D Q)xU ) - (Prob (D Q) x SV))

    Rearrange:U -SV

    Prob (D Q) ------SP-SV

    {The best Q is the largest Q that is still fulfill the above relationship and is obtainedinteractively start ith small value of Q}

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    xample: (Special Heater for Winter)

    Demand 1 2 3 4 5 Prop. of the month 0.2 0.3 0.3 0.1 0.1

    Q Prob(D=Q) Prob(D=> Q)

    1 0.2 1.0

    2 0.3 0.8

    3 0.3 0.54 0.1 0.2

    5 0.1 0.1

    (UC(UC--SV)/(SPSV)/(SP--SV) = 0.33SV) = 0.33

    Prob(D=>3) = 0.5 >0.33Prob(D=>3) = 0.5 >0.33Prob(D=>4) = 0.2 < 0.33Prob(D=>4) = 0.2 < 0.33Q* = 3Q* = 3

    UC=RM1000UC=RM1000SP=RM2000SP=RM2000

    SV=RM500SV=RM500

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    Ne sboy problem is a typical example ofsingleperiod problemofstock with uncertaindemand.

    A ne sboy selling papers on a street corner has to

    decidehow many paperstobuyfromsuppliers. Buying too many papers, left the risk of unsold

    papers hich have no values at the end of the day. Buying too fe , loss opportunity to get higher profit

    due to unsatisfied demand.

    Formalize the marginal analysis technique.

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    Thenewsboybuys Q papers: (suppose D = demand)

    If D > Q then Profit = Q x (SP- U ).

    If D < Q then Profit = (D x SP) + (Q-D) x SV (Q x U )

    = (D x SP) (Q x U ) if SV=0

    The optimal Q* maximizes these expected profits (totalexpected profit ( P(Q)))

    P(Q) = Sumof(profit x probability) .Case when SV=0

    Q

    = [DxSP-QxU ] x Prob(D) + Q x (SP-U ) x Prob(D)

    D=0 D= Q+1

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    P(Q) = sum of (profit x probability)

    Q

    = SP x[ D x Prob(D) + Q x Prob(D] - (Q x U )D=0 D= Q+1

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    EP(Q*) EP(Q* 1) > 0 > EP(Q* + 1) EP(Q*)

    SP x [ Prob(D) UC/SP ] > 0 > SP x [ Prob(D) UC/SP]D=Q* D=Q*1

    oror

    givinggiving

    Prob(D Q*) > UC/SP> Prob(D(Q*+1)

    Prob(D Q*) > (UC-SV)/(SP-V) > Prob(D(Q*+1) inthecaseinthecase

    SV positiveSV positive

    Find the best Q* in such a way that

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    Units 1 2 3 4 5 6 7 8 Prob. 0.05 0.1 0.15 0.2 0.2 0.15 0.1 0.05

    Q Prob(DQ)Prob(D)

    1 1.0 0.05

    2 0.95 0.1

    3 0.85 0.15

    4 0.70 0.25 0.50 0.2

    6 0.30 0.15

    7 0.15 0.1

    8 0.05 0.05

    Choose Q*Choose Q* such thatsuch that

    Prob(D Q*) > UC/SP > Prob(D(Q*+1)

    Prob (D>Prob (D> 4) > 0.67 >4) > 0.67 > Prob (D>4+1)Prob (D>4+1)0.7 > 0.67 > 0.50.7 > 0.67 > 0.5

    Q* = 4Q* = 4 and EP(4) = $100and EP(4) = $100

    UC= 80UC= 80SP=120SP=120UC/SP= 0.67UC/SP= 0.67

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    Extend the ne sboy problem by looking at modelsfor discrete demand over several periods andallo shortages.

    Assumptions: Demand uncertain follo s a kno n PDF eg Poisson.

    Small demands and lo stock level

    Replace a unit of the item every time one is used

    The objective is to find the optimal number of units tostock (the maximum stock levelAo)

    Eg: Stock of spare parts for production equipments,vehicle ..

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    When # of stock A > D, then a (A-D) x H holdingcost per unit time is incurred.

    When D >A

    , there is ashortage cost (D-A) x S per unit time.

    The TotalExpected ost (TEC) for all values ofexpected demand :

    TEC(Q) = SUM (prob. of no shortage x holdingcost for unused units) + SUM (prob. of a shortagex shortage cost for unmet demand)

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    A

    TEC(A) = HC x Prob(D) x (A-D) + SC x Prob(D) x (D-A)

    D=0 D= A+1

    Find the best Ao (Stock Level) such that

    TEC(Ao) TEC(Ao-1) < 0 (SC/(HC + SC) > Prob(D Ao-1))

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    Example:

    Demand 0 1 2 3 4 5 Prop. of the month 0.8 0.1 0.05 0.03 0.015 0.005

    A rob( A) rob( A)

    . .

    . .

    . .

    . .

    . .

    . .

    SC/(HC + SC) = 0.952SC/(HC + SC) = 0.952

    Prob(D 0.952 > 0.95=Prob(D 0.95=Prob(D

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    STEP 1:Calculate EOQ=Sqrt((2x40x40/4)) = 28.28

    Set Q = 28.28

    STEP 2: Substitute this Q value into

    (HCxQ)/(SCxD) = Prob(D), solve this tofind ROL ROL

    STEP3: Subtitute this ROL value into this Eq. to find ne Q

    STEP: Repeat Step 2 and 3

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    STEP 1:EOQ=Sqrt((2xRCxD/HC)) as an initial estimate of Q =

    28.28

    STEP 2: Substitute this Q value into

    (HC

    xQ)/(SC

    xD) = Prob(D), solve this to findROL ROL

    The Prob (D>ROL) =0.014

    Since Demand follow N(40,4), the corresponding ROL = D + Z = 48.8 (where Z=2.2)

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    STEP3: Substitute this ROL value into this Eq. to find ne Q

    STEP4: Repeat Step 2 and 3