Solver Results The linearity conditions required by this LP Solver are not satisfied. Keep Solver Solution ◇ Restore Original Values Reports Linearity Return to Solver Parameters Dialog Outline Reports OK Cancel Save Scenario... The linearity conditions required by this LP Solver are not satisfied. Create a linearity report to see where the problem is, or switch to the GRG engine. × Solver Parameters Set Objective: To: Max Total_Revenue Min Value Of: 0 By Changing Variable Cells: Gasoline Produced Subject to the Constraints: Weighted Avg_Octane >= Min_Octane A >= B Feedstock Used <= Feedstock Available Gas Produced > Gas_Required Weighted Average_RVP <= Max_RVP Make Unconstrained Variables Non-Negative Select a Solving Simplex LP Add Change Delete Reset All Load/Save Options Method: Solving Method Select the GRG Nonlinear engine for Solver Problems that are smooth nonlinear. Select the LP Simplex engine for linear Solver Problems, and select the Evolutionary engine for Solver problems that are non-smooth. Help Solve + Close

Glencoe Algebra 1, Student Edition, 9780079039897, 0079039898, 2018
18th Edition
ISBN:9780079039897
Author:Carter
Publisher:Carter
Chapter4: Equations Of Linear Functions
Section: Chapter Questions
Problem 2SGR
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Case 4.1Blending Aviation Gasoline at Jansen Gas

Jansen Gas creates three types of aviation gasoline (avgas), labeled A, B, and C. It does this by blending four feedstocks: Alkylate; Catalytic Cracked Gasoline; Straight Run Gasoline; and Isopentane. Jansen’s production manager, Dave Wagner, has compiled the data on feedstocks and gas types in Tables 4.6 and 4.7. Table 4.6 lists the availabilities and values of the feedstocks, as well as their key chemical properties, Reid vapor pressure, and octane rating. Table 4.7 lists the gallons required, the prices, and chemical requirements of the three gas types.

Table 4.6

Data on Feedstocks

Feedstock Alkylate CCG SRG Isopentane
Gallons available (1000s) 140 130 140 110
Value per gallon $4.50 $2.50 $2.25 $2.35
Reid vapor pressure 5 8 4 20
Octane (low TEL) 98 87 83 101
Octane (high TEL) 107 93 89 108
Table 4.7

Data on Gasoline

Gasoline A B C
Gallons required (1000s) 120 130 120
Price per gallon $3.00 $3.50 $4.00
Max Reid pressure 7 7 7
Min octane 90 97 100
TEL level Low High High

Note that each feedstock can have either a low or a high level of TEL, which stands for tetraethyl lead. This is measured in units of milliliters per gallon, so that a low level might be 0.5 and a high level might be 4.0. (For this problem, the actual numbers do not matter.) As indicated in Table 4.6, the TEL level affects only the octane rating, not the Reid vapor pressure. Also, gas A is always made with a low TEL level, whereas gas types B and C are always made with a high TEL level.

As indicated in Table 4.7, each gasoline has two requirements: a maximum allowable Reid vapor pressure and a minimum required octane rating. In addition to these requirements, the company wants to ensure that the amount of gas A produced is at least as large as the amount of gas B produced.

Dave believes that Jansen can sell all of the gasoline it produces at the given prices. If any feedstocks are left over, they can be sold for the values indicated in Table 4.6. He wants to find a blending plan that meets all the requirements and maximizes the revenue from selling gasoline and leftover feedstocks. To help Dave with this problem, you should develop an LP optimization model and then use Solver to find the optimal blending plan. Then, using this model as a starting point, you should answer the following questions:

  1. Dave is not absolutely sure that the “side” constraint of at least as much gas A as gas B is necessary. What is this constraint costing the company? That is, how much more revenue could Jansen earn if this constraint were ignored?

  2. Dave consults the chemical experts, and they suggest that gas B could be produced with a “medium” level of TEL. The octane ratings for each feedstock with this medium level would be halfway between their low and high TEL octane ratings. Would this be a better option in terms of its optimal revenue?

  3. Suppose that because of air pollution concerns, Jansen might have to lower the Reid vapor pressure maximum on each gas type (by the same amount). Use SolverTable to explore how such a change would affect Jansen’s optimal revenue.

  4. Dave believes the minimum required octane rating for gas A is too low. He would like to know how much this minimum rating could be increased before there would be no feasible solution (still assuming that gas A uses the low TEL level).

  5. Dave suspects that only the relative prices matter in the optimal blending plan. Specifically, he believes that if all unit prices of the gas types and all unit values of the feedstocks increase by the same percentage, then the optimal blending plan will remain the same. Is he correct?

 

The LP model is getting an error. See images. Only way for the model to run is to run it as GRG Nonlinear. Any help is appreciated.

 

Solver Results
The linearity conditions required by this LP Solver are not
satisfied.
Keep Solver Solution
◇ Restore Original Values
Reports
Linearity
Return to Solver Parameters Dialog
Outline Reports
OK
Cancel
Save Scenario...
The linearity conditions required by this LP Solver are not satisfied.
Create a linearity report to see where the problem is, or switch to the GRG engine.
×
Transcribed Image Text:Solver Results The linearity conditions required by this LP Solver are not satisfied. Keep Solver Solution ◇ Restore Original Values Reports Linearity Return to Solver Parameters Dialog Outline Reports OK Cancel Save Scenario... The linearity conditions required by this LP Solver are not satisfied. Create a linearity report to see where the problem is, or switch to the GRG engine. ×
Solver Parameters
Set Objective:
To:
Max
Total_Revenue
Min
Value Of:
0
By Changing Variable Cells:
Gasoline Produced
Subject to the Constraints:
Weighted Avg_Octane >= Min_Octane
A >= B
Feedstock Used <= Feedstock Available
Gas Produced > Gas_Required
Weighted Average_RVP <= Max_RVP
Make Unconstrained Variables Non-Negative
Select a Solving
Simplex LP
Add
Change
Delete
Reset All
Load/Save
Options
Method:
Solving Method
Select the GRG Nonlinear engine for Solver Problems that are smooth nonlinear. Select the LP Simplex
engine for linear Solver Problems, and select the Evolutionary engine for Solver problems that are
non-smooth.
Help
Solve
+
Close
Transcribed Image Text:Solver Parameters Set Objective: To: Max Total_Revenue Min Value Of: 0 By Changing Variable Cells: Gasoline Produced Subject to the Constraints: Weighted Avg_Octane >= Min_Octane A >= B Feedstock Used <= Feedstock Available Gas Produced > Gas_Required Weighted Average_RVP <= Max_RVP Make Unconstrained Variables Non-Negative Select a Solving Simplex LP Add Change Delete Reset All Load/Save Options Method: Solving Method Select the GRG Nonlinear engine for Solver Problems that are smooth nonlinear. Select the LP Simplex engine for linear Solver Problems, and select the Evolutionary engine for Solver problems that are non-smooth. Help Solve + Close
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