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Question 2: An oil company produces three brands of oil: regular, multigrade, and supreme. Each brand of oil is composed of one or more of four crude stocks, each having a different lubrication index. The relevant data concerning the crude stocks are as follows. Crude Stock Lubrication Index Cost/Barrel Daily Supply (Barrels) 20 40 30 7.10 8.50 7.70 9.00 1000 1100 1200 1100 3 Each brand of oil must meet a minimum standard for a lubrication index, and each brand thus sells at a different price. The relevant data concerning the three brands of oil are as follows. Brand Min Lubrication Index Selling Price/Barrel Daily Demand (Barrels) Regular Multigrade Supreme 25 35 50 8.50 9.00 10 2000 1500 750 The task is to determine an optimal output plan for a single day, assuming that production can be either sold or else stored at a negligible cost. The daily demand figures are subject to alternative interpretations. Investigate the following. a. The daily demands represent potential sales. In other words, the model should contain demand ceilings (upper limits). What are the optimal output levels and profit? [25 points] constraints that are met precisely. What are the optimal output levels and profit? [5 points] words, the model should permit production to exceed the daily commitments. What are the b. The daily demands are strict obligations. In other words, the model should contain demand c. The daily demands represent minimum sales commitments, but all output can be sold. In other optimal output levels and profit? [5 points]
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Answer #1

a) The daily demands represent potential sales. In other words, the model should contain demand ceilings (upper limits)

The spreadsheet model is following:

115 Q fx SUMPRODUCT(19:111,C9:C11)-SUMPRODUCT(E12:H12,E3:H3) Crude Viscoci S Solver Parameters Index $/barrel barrels 7.1 100

Optimal output levels are shown in following table:

Crude Stock
Brand 1 2 3 4
Regular 1000 204.1666667 387.5 0
Multi Grade 0 645.8333333 812.5 41.66666667
Supreme 0 250 0 500

Total profit = $ 3964.17

EXCEL FORMULAS:

15 a f SUMPRODUCT(19:111,C9:C11)-SUMPRODUCT(E12:H12,E3:H3) Stock Index Crude 20 S/barrel) 7.1 (barrels 10 8.5 1100 Cost 7.7 1

Formula for Total profit =SUMPRODUCT(I9:I11,C9:C11)-SUMPRODUCT(E12:H12,E3:H3)

b) The daily demands are strict obligations. In other words, the model should contain demand constraints that are met precisely.

The spreadsheet model is following:

115 Q fx SUMPRODUCT(19:111,C9:C11)-SUMPRODUCT E12:H12,E3:H3) SSolver Parameters Crude Viscoci Cost Stock Index ($/barrel) barrels 40 8.5 1100 30 Set Objective: SIS15 7.1 O Max Min Value Of: 1000 1200 1100 By Changing Variable Cells: SES9 SHS11 Brand Minimum Sellin Daily demand Barrels Subject to the Constraints: $/barrel Crude Stock Total SES12-SHS12-SES4:SHS4 Index 25 35 Barrels Total SIS9 SIS11 SDS9 SD$11 9 Regular 10 Multi Grade 11 Supreme 12 13 14 15 16 17 8.5 1000 1000 200050000 50000 6100052500 125037500 Change 1500 750 Total 1100 10 750 750 Delete 1100 1200 950 Reset All Net Profit3760 Make Unconstrained Variables Non-Negative Select a Solving Method: Simplex LP Options Solving Method Select the IPOPT Non nonlinear.Select the LP Simplex engine for linear Sover Problems. 19 linear engine for Solver Problems that are smooth

Optimal output levels are shown in following table:

Crude Stock
Brand 1 2 3 4
Regular 1000 0 1000 0
Multi Grade 0 1100 200 200
Supreme 0 0 0 750

Total profit = $ 3760

c) The daily demands represent minimum sales commitments, but all output can be sold. In other words, the model should permit production to exceed the daily commitments.

115 a fx SUMPRODUCT(19:111,C9:C11)-SUMPRODUCT(E12:H12,E3:H3) SSolver Parameters Stock Index $/barrel barrels Viscoci Cost 20 7.1 1000 1 30 7.7 8.5 Set Objective: SIS15 1100 1200 1100 O Max Min Value Of: By Changing Variable Cells: Brand Minimum Sellin Daily demand Barrels SES9 SHS11 Viscocity(/barrel) Crude Stock Total BarrelsTotal Subject to the Constraints: Index Min SES12-SHS12SESA:SHS4 SIS9 SIS11SDS9:SDS11 SJ59:SJS11SK$9:$K$11 9 Regular 10 Multi Grade 11 Supreme 12 13 14 15 16 17 18 19 8.5 1000 1000 1500 750 Total 1100 6100052500 4950045000 Change 10 1000 1100 1200 1100 Delete Reset All Net Profit3910 Make Unconstrained Variables Non-Negative Select a Solving Method: Simplex LP Options Solving Method Select the IPOPT Nonlinear engine tor Solver Problems that are smooth nonlinear.Select the LP Simplex engine for linear Solver Problems Solve 23

Optimal output levels are shown in following table

Crude Stock
Brand 1 2 3 4
Regular 1000 0 1000 0
Multi Grade 0 1100 200 200
Supreme 0 0 0 900

Total profit = $ 3910

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