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    Quantitative Analysis BA 452 Exam B

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    BA 452 Print name: ________________

    Exam B

    This is a 100-minute exam (1hr. 40 min.). There are 4 questions (25

    minutes per question). To avoid the temptation to cheat, you must abide by

    these rules then sign below after you understand the rules and agree to

    them:

    Turn off your cell phones. You cannot leave the room during the exam, not even to use the

    restroom. The only things you can have in your possession are pens or pencils

    and a simple non-graphing, non-programmable, non-text calculator. All other possessions (including phones, computers, or papers) are

    prohibited and must be placed in the designated corner of the room. Possession of any prohibited item (including phones, computers, or

    papers) during the exam (even if you dont use them but keep themin your pocket) earns you a zero on this exam, and you will bereported to the Academic Integrity Committee for further action.

    Sign here:__________________________________________________

    Part 1. You may only use blank or graph paper,pencils, a ruler, and a calculator. You may notuse a computer or notes. After you finish all

    questions in Part 1, turn in your answers, thenyou may use the school computer to run theManagement Scientist to complete Part 2 of theexam.

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    Quantitative Analysis BA 452 Exam B

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    Rounding Off

    Question 1: Exxon Mobil Corporation seeks to

    maximize profit by making two grades of gasoline

    from crude oil and additives. It just received this

    day's allocation of 1.5 thousand gallons of crude oil,

    and 0.8 thousand gallons of additives.

    It takes 0.6 gallons of crude oil to make a gallon of Premium gasoline, and

    0.3 gallons of crude oil to make a gallon of Regular gasoline. It also takes

    0.2 gallons of additives to make a gallon of Premium gasoline, and 0.3

    gallons of additives to make a gallon of Regular gasoline. Premium

    gasoline has unit profit 3 of dollars, and Regular gasoline has 4 dollars.

    a. Develop a linear programming model for this problem to determine

    how much should be produced.

    b. Graphically solve the linear-programming problem from Part a if you

    require that production units be integers.

    c. Graphically solve the linear-programming problem from Part a if you

    do not require that production units be integers (instead, production

    units are continuous variables).

    d. Compare your solutions in Parts b and c.

    Tip: Your written answer should define the decision variables, formulate the

    objective and constraints, and solve for the optimum. --- You will not earn

    full credit if you just solve for the optimum; you must also define the

    decision variables, and formulate the objective and constraints.

    Answer to Question 1:

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    Answer to Quest ion:

    Part a:

    Let X = thousands of units of Premium gasoline produced.

    Let Y = thousands of units of Regular gasoline produced.

    Max 3X + 4Y

    s.t. 0.6X + 0.3Y < 1.5 (crude oil)

    0.2X + 0.3Y < 0.8 (additives)

    X, Y 0

    Part c:

    A graph of the feasible set and isovalue lines (dashed lines above) reveals

    the isovalue lines are steeper than the second constraint, and the optimum

    occurs where the firstand the secondconstraint bind. Solving the bindingform of those two constraints yields the optimal solution: X = 1.75, Y = 1.50

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    Part b: You would earn full credit if you noted that since (X,Y) are in

    thousands of units, X = 1.75 thousand and Y = 1.50 thousand are integer

    solutions. You would also earn full credit by solving the problem if you

    require that X and Y are integers.

    Max 3X + 4Y

    s.t. 0.6X + 0.3Y < 1.5 (crude oil)

    0.2X + 0.3Y < 0.8 (additives)

    X, Y 0

    A graph of the feasible set with dots to indicate all feasible integer solutions

    and isovalue lines reveals the optimum occurs at X = 1, Y = 2

    Part d: The integer solution in Part b is not the result of rounding off thecontinuous solution in Part c.

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    Quantitative Analysis BA 452 Exam B

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    Assignment with Supply and Demand

    Question 2: The Goodyear Tire and Rubber

    Company uses rubber in its American, Asian, and

    European tire manufacturing plants. Goodyear can

    buy rubber from either India, or Indonesia, or

    Malaysia, or Thailand. The number of tons of rubber needed daily by each

    tire plant and the price per ton charged by each supplier are as follows:

    The cost (dollars per ton) for shipping from each supplier to each

    manufacturing plant are as follows:

    American Asian European

    India 3 6 4

    Indonesia 5 9 8

    Malaysia 2 6 4

    Thailand 7 1 2

    To reduce fixed costs, Goodyear wants each manufacturing plants

    demand to be assigned to exactly one rubber supplier. And because of

    capacity constraints, each rubber supplier can supply at most one tire plant.

    Formulate the optimal assignment of rubber suppliers to manufacturing

    plant s as a linear-programming problem. Formulate the problem, but you

    need not solve the problem.

    Answer to Quest ion 2:

    Demand (tons) Price (dollars per ton)

    American 5 India 3

    Asian 4 Indonesia 4

    European 3 Malaysia 2

    Thailand 5

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    Answer to Quest ion:

    Linear programming formulation (supply inequality, demand equality).

    Variables: Xij = 1 if Supplier i is assigned to Plant j, else 0

    Assignment Costs:

    The total cost is the sum of the purchase cost and the transportation

    cost.

    Supplier 1 (India) assigned to Plant 1 (American) (cost in dollars):

    o Purchase cost: (5 x $3) = $15

    o Transportation Cost: (5 x $3) = $15

    o Total Cost: $30

    Assignment Costs: Cij = Cost of assigning Supplier i to Plant j

    Cij Plant 1 Plant 2 Plant 3

    Sup 1 5(3+3)=30 4(3+6)=36 3(3+4)=21

    Sup 2 5(4+5)=45 4(4+9)=52 3(4+8)=36

    Sup 3 5(2+2)=20 4(2+6)=32 3(2+4)=18

    Sup 4 5(5+7)=60 4(5+1)=24 3(5+2)=21

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    Quantitative Analysis BA 452 Exam B

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    Make or Buy with Fixed Costs

    Question 3: Danchuk Manufacturing produces a

    variety of classic automobiles, including a 1955 Chevy

    and a 1955 Thunderbird. Each car consists of three

    components that can be manufactured by Danchuk: a

    body, an interior, and an engine. Both cars use the same engine, but

    different bodies and different interiors.

    Danchuks sales forecast indicates that 300 Chevys and 500 Thunderbirds

    will be needed to satisfy demand during the next year. Because only 2000

    hours of in-house manufacturing time is available, Danchuk is considering

    purchasing some, or all, of the components from outside suppliers. If

    Denchuk manufactures a component in-house, it incurs a fixed setup costas well as a variable manufacturing cost. The following table shows the

    setup cost, the manufacturing time per component, the manufacturing cost

    per component, and the cost to purchase each of the components from an

    outside supplier:

    Component

    Setup Cost(thousandsof dollars)

    ManufacturingTime per Unit

    (hours)

    ManufacturingCost per Unit(thousands of

    dollars)

    PurchaseCost per Unit(thousandsof dollars)

    Chevy Body 100 3 4 5Thunderbird

    Body90 2 2 3

    ChevyInterior

    10 1 2 3

    ThunderbirdInterior

    20 2 3 4

    Engine 20 2 4 5

    Formulate a linear program for Denchuk to minimize total cost to meet thesales forecasts. But you need not compute an optimum.

    Tip: Your written answer should define the decision variables, carefully

    state which variables are continuous and which are binary, and formulate

    the objective and constraints.

    Answer to Quest ion:

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    Answer to Quest ion:

    Continuous (or integer) variables are used for the number of units made:

    Let CB = the number of Chevy Bodies to make

    Let TB = the number of Thunderbird Bodies to make

    Let CI = the number of Chevy Interiors to makeLet TI = the number of Thunderbird Interiors to make

    Let E = the number of Engines to make

    Continuous (or integer) variables are also used for the number of units

    purchased:

    Let CBP = the number of Chevy Bodies to purchase

    Let TBP = the number of Thunderbird Bodies to purchase

    Let CIP = the number of Chevy Interiors to purchaseLet TIP = the number of Thunderbird Interiors to purchase

    Let EP = the number of Engines to purchase

    Binary variables are used to indicate whether production is positive, and

    setup costs are incurred:

    Let CBS = 1 if Chevy Bodies are produced; 0, if not.

    Let TBS = if Thunderbird Bodies are produced; 0, if not.

    Let CIS = 1 if Chevy Interiors are produced; 0, if not.

    Let TIS = if Thunderbird Interiors are produced; 0, if not.

    Let ES = if Engines are produced; 0, if not.

    Objective: Minimize Total Cost

    4CB + 2TB + 2CI + 3TI + 4E (production costs)

    +5CBP + 3TBP + 3CIP + 4TIP + 5EP (purchase costs)

    +100CBS + 90TBS + 10CIS + 20TIS + 20ES (setup costs)

    Input Constraints:

    3CB + 2TB + 1CI + 2TI + 2E < 2000 (In-house hours)

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    Sales Constraints:

    CB + CBP = 300 (manufactured or purchased bodies used for Chevys)

    TB + TBP = 500 (manufactured or purchased bodies used for

    Thunderbirds)

    CI + CIP = 300 (manufactured or purchased interiors used for Chevys)TI + TIP = 500 (manufactured or purchased interiors used for

    Thunderbirds)

    E + EP = 800 (manufactured or purchased engines used for both Chevys

    and Thunderbirds)

    Setup Constraints (given sales constraints imply CB < 300, TB < 500, CI 500

    Walmart demand constraint is X36 + X46 > 600

    Transshipment constraints are

    X35 + X36 < X13 + X23, through Nevada

    X45 + X46 < X14 + X24, through New York

    And setup indicator constraints are

    X35 + X36 < 1350Y3, through Nevada

    X45 + X46 < 1350Y4, through New York

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    That solution is the same if, instead of Xij variables being integer, they were

    continuous.

    In that solution, Nevada transshipment node is used, but New York is not

    used.

    Finally, the minimum cost is $10,050 per day.