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    Linear Programming Problemon Profit Maximization of

    Executives:

    Rajat KatariaChandan Gaddamanugu

    Sushant DashRagesh Nair

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    Macys, an internationally knownmanufacturer of Mens wear, producesfour varieties of Mens shirt.

    One is an expensive, all-silk shirt, one isan all-polyester shirt, and two are blends

    of polyester and cotton.

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    The following table illustrates the cost andavailability (per monthly production

    planning period) of the three materialsused in the production process:

    Material Cost per meter

    ($)

    Material

    Available

    Silk 20 5000

    Polyester 7 4000

    Cotton 10 4250

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    Table (shown in the next slide) summarizesthe contract demand for each of the fourstyles of shirts, the selling price per shirt,and the fabric requirements of eachvariety.

    OBJECTIVE:

    1. Maximize its monthly profit.

    2. Also need to keep in mind the constraintsinvolved while aiming for maximumprofitability.

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    Variety ofShirts

    SellingpricePer shirt

    ($)

    MonthlyContractMinimu

    m

    MonthlyDemand

    MaterialRequired per

    shirt(meters)

    MaterialRequirements

    All Silk 52.99 400 800 2.5 100% silk

    All Polyester 18.20 600 2.3 100%polyester

    Poly-Cotton 25.00 2.8 50%

    polyester-

    50%

    cottonPoly-Cotton 20.99 2.1 30%

    polyester-

    70%

    cotton

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    SOLUTION:Let

    X1 = Number of all-silk shirts

    X2 = Number of all-polyester shirtsX3 = Number ofBlend 1 (50% Polyester

    + 50% Cotton) shirts

    X4 = Number ofBlend 2 (30%Polyester + 70% Cotton) shirts

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    Determining the Profit Function:

    1. For all-silk shirt (X1), each requires 2.5

    meters of silk, at a cost of $20 per meter.Therefore, the cost per shirt is $50. Theselling price per silk shirt is $52.99, leaving

    Profit of ($52.99 - $50.00 =) $2.99 per unit ofX1.

    2. For all-polyester shirts (X2), each requires2.3 meters of polyester at a cost of $7 permeter. The cost per shirt is, therefore,$16.10.

    Profit per unit of X2 is ($18.20 -$16.10 =)

    $2.10.

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    3. For poly-cotton blend 1 (X3), each shirtrequires 1.4 meters of polyester at $7 per

    meter and 1.4 meters of cotton at $10 permeter, for a cost of $23.80.

    Profit : $25.00 - $23.80 = $1.20 per shirt.

    The profit is $1.20.4. For poly-cotton blend 2 (X4), each shirt

    requires 0.63 meters of polyester at $7 per

    meter and 1.33 meters of cotton at $10 permeter, for a cost of $19.11

    Profit : $20.99 - $19.11 = $1.88 per shirt.T

    he profit is $1.88.

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    Hence, the profit formula that can be derivedfrom the above information is as follows:

    We have to maximize this function to earnmaximum profit for the company.

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    Constraints:

    1. The silk material available for theproduction of shirts per month is 5000

    meters.2. The Polyester material available for the

    production of shirts per month is 4000meters.

    3. The Cotton material available for theproduction of shirts per month is 4250meters.

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    Also:

    4. Macys should keep in mind thecontractual demands and hence produce aminimum number of shirts as per thecontract.

    5. Macys should also produce according tothe demand in the market.

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    The constraints are formulated as follows:

    X1 >= 400 X1 = 600

    2.5 X1

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    Using Solver, we found the following

    Solution.Silk

    Shirts

    Polyester

    Shirts

    Poly - Cotton

    Blend 1

    Poly - Cotton

    Blend 2

    Total

    Limit

    800

    947.204968

    9 0 2891.156463

    Minimum 400 600

    Maximum 800

    Profit 2.99 2.1 1.2 1.88

    9816.50

    4584

    Silk Required 2.5 0 0 0 2000 5000

    Polyester

    Required 0 2.3 1.4 0.63 4000 4000

    Cotton

    Required 0 0 1.4 1.47 4250 4250

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    The Maximum Profitability is shown asfollows:

    The no. of units to be produced (for eachtype of shirt) is shown as:

    Cell Name Original Value Final Value

    $C$5 Silk Shirts 0 800

    $D$5 Polyester Shirts 0 947.2049689

    $E$5 Poly - Cotton Blend 1 0 0

    $F$5 Poly - Cotton Blend 1 0 2891.156463

    Cell Name Original Value Final Value

    $G$8 Profit Total 0 9816.504584

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    The Constraint sheet gives the following

    picture:Cell Name Cell Value Formula Status Slack

    $G$9 Silk Required Total 2000 $G$9

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    Final Shadow

    Name Value Price

    Silk Required Total 2000 0

    Polyester Required Total 4000 0.913043478Cotton Required Total 4250 0.887607217

    The Shadow price analysis shows that ifan extra metre of Polyester is utilized inthe Production then the Profitability jumpsup by $ 0.913 and for Cotton theProfitability jumps up by $0.887

    But pumping an extra one meter of silkinto Production wont fetch any increase inthe Profitability.

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    Final Shadow Constraint Allowable Allowable

    Name Value Price R.H. Side Increase Decrease

    Silk Required Total 2000 0 5000 1E+30 3000

    Polyester Required Total 4000 0.913043478 4000 1E+30 798.5714286

    Cotton Required Total 4250 0.887607217 4250 1863.333333 4250

    The above table shows the number ofmeters that can be increased ordecreased from each of the clothing type

    without having any impact on the shadowprice of each material.

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    Final Reduced Objective Allowable Allowable

    Name Value Cost Coefficient Increase Decrease

    Silk Shirts 800 2.99 2.99 1E+30 2.99Polyester Shirts 947.2049689 0 2.1 4.763492063 2.1

    Poly - Cotton Blend 1 0 -1.320910973 1.2 1.320910973 1E+30

    Poly - Cotton Blend 2 2891.156463 0 1.88 1E+30 1.304782609

    The above table shows the coefficients ofeach type of shirts which forms theobjective function of profitability.

    The allowable increase/decrease showsthe permissible change in the values ofcoefficients without having any impact onthe main objective function.

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    Conclusion

    The objective is to maximize and adhering tothe constraints of silk material available,polyester material, cotton material,contractual demands and the demand inthe market. Using Linear Programmingmethodology for arriving to the conclusion,

    keeping in mind the constraints, we havearrived to the conclusion that Macys willhave maximum profit using this approach.