Part 1 of 2 HW Score: 11.11%, 1.67 of 15 points Points: 1.67 of 5 Save Malloy Milling grinds calcined alumina to a standard granular size. The mill produces two different size products, regular grind and super grind, from the same raw materials. After reviewing the production rate, demand, and profit for each of the two types of grind, Malloy Milling found the following linear optimization model for profit, where R is the number of tons of regular grind produced and S is the number of tons of super grind produced. Implement the linear optimization model on a spreadsheet and use Solver to find an optimal solution. Interpret the Solver Answer Report, identify the binding constraints, and verify the values of the slack variables. Maximize Profit = 800 R+ 1800 S R+S≥700 R S + 5 3 R≥ 400 S≥200 ≤ 168 (Total production) (Time limitation) (Demand for regular grind) (Demand for super grind) Implement the linear optimization model and find an optimal solution. Interpret the optimal solution. The optimal solution is to produce tons of regular grind and (Type integers or decimals rounded to two decimal places as needed.) tons of super grind. This solution gives the possible profit, which is $
Part 1 of 2 HW Score: 11.11%, 1.67 of 15 points Points: 1.67 of 5 Save Malloy Milling grinds calcined alumina to a standard granular size. The mill produces two different size products, regular grind and super grind, from the same raw materials. After reviewing the production rate, demand, and profit for each of the two types of grind, Malloy Milling found the following linear optimization model for profit, where R is the number of tons of regular grind produced and S is the number of tons of super grind produced. Implement the linear optimization model on a spreadsheet and use Solver to find an optimal solution. Interpret the Solver Answer Report, identify the binding constraints, and verify the values of the slack variables. Maximize Profit = 800 R+ 1800 S R+S≥700 R S + 5 3 R≥ 400 S≥200 ≤ 168 (Total production) (Time limitation) (Demand for regular grind) (Demand for super grind) Implement the linear optimization model and find an optimal solution. Interpret the optimal solution. The optimal solution is to produce tons of regular grind and (Type integers or decimals rounded to two decimal places as needed.) tons of super grind. This solution gives the possible profit, which is $
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
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HW Score: 11.11%, 1.67 of 15 points
Points: 1.67 of 5
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Malloy Milling grinds calcined alumina to a standard granular size. The mill produces two different size products, regular grind and super grind, from the same raw materials. After reviewing the
production rate, demand, and profit for each of the two types of grind, Malloy Milling found the following linear optimization model for profit, where R is the number of tons of regular grind produced
and S is the number of tons of super grind produced. Implement the linear optimization model on a spreadsheet and use Solver to find an optimal solution. Interpret the Solver Answer Report,
identify the binding constraints, and verify the values of the slack variables.
Maximize Profit = 800 R+ 1800 S
R+S≥700
R S
+
5 3
R≥ 400
S≥200
≤ 168
(Total production)
(Time limitation)
(Demand for regular grind)
(Demand for super grind)
Implement the linear optimization model and find an optimal solution. Interpret the optimal solution.
The optimal solution is to produce tons of regular grind and
(Type integers or decimals rounded to two decimal places as needed.)
tons of super grind. This solution gives the
possible profit, which is $
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