Chat with us, powered by LiveChat Solve the LOGO Production problem (the base version with only two products — see attached Download Excel file) with Excel Solver and produce the Sensitivity Report. Using the sensitivity - Writingforyou

Solve the LOGO Production problem (the base version with only two products — see attached Download Excel file) with Excel Solver and produce the Sensitivity Report. Using the sensitivity

Problem 1

Solve the LOGO Production problem (the base version with only two products — see attached Download Excel file) with Excel Solver and produce the Sensitivity Report. Using the sensitivity report without resolving the problem, predict whether the optimal solution changes if:

  • The Selling Price for Santa’s Grotto increases from $55 to $80.
  • The Selling Price for Advent Calendar decreases from $35 to $22.
  • The Material Cost for Santa’s Grotto increases from $15 to $45.
  • The Material Cost for Advent Calendar decreases from $8 to $20.

In each case where the optimal solution does not change, also predict the new optimal profit without resolving the problem. Show your workings.

Problem 2

Refer to the Sensitivity Report of the LOGO Production problem. Without resolving the problem, predict the optimal profit (or indicate that we cannot predict without resolving) if:

  • The maximum demand for Santa’s Grotto increases from 20000 to 40000.
  • The maximum demand for Advent Calendar decreases from 60000 to 45000.
  • The number of molding machine-hours available increases from 300 to 350.
  • The number of packing machine-hours available increases from 300 to 350.

Show your workings.

Problem 3

Refer to the Worker Scheduling problem in Section 4.3 of the textbook. Implement the model in Excel following the textbook.

Then, try to add the following requirement to the model: Out of all workers, we want at least 20% starting their shifts in the weekend (Sat or Sun). For example, if we schedule 5 workers in each 5-day shift, we have 10 out of 35 workers (28.5%) starting their shifts in the weekend, which satisfies the requirement. Can such a requirement be formulated as a linear constraint?

Add this to the spreadsheet model and solve for the optimal solution. How much does adding this constraint change the optimal objective?

Problem 4
A bank is attempting to determine where its assets should be invested during the current year. At present, $500,000 is available for investment in bonds, home loans, auto loans, and personal loans. The annual rates of return on each type of investment are known to be the following: bonds, 10%; home loans, 16%; auto loans, 13%; and personal loans, 20%. To ensure that the bank’s portfolio is not too risky, the bank’s invest- ment manager has placed the following three restric- tions on the bank’s portfolio:

  • The amount invested in personal loans cannot ex- ceed the amount invested in bonds.
  • The amount invested in home loans cannot exceed the amount invested in auto loans.
  • No more than 25% of the total amount invested can be in personal loans.
    Help the bank maximize the annual return on its investment portfolio.

Problem 5
Young MBA Erica Cudahy can invest up to $20,000 in stocks and loans. Each dollar invested in stocks yields $0.08 profit, and each dollar invested in a loan yields $0.13 profit. At least 40% of all money invested must be in stocks, and at least $7000 must be in loans. Determine how Erica can maximize the profit earned on her investments.

Answer Report 1

Microsoft Excel 16.0 Answer Report
Worksheet: [LOGO Production.xlsx]Sheet1
Report Created: 11/18/2022 3:08:50 PM
Result: Solver found a solution. All Constraints and optimality conditions are satisfied.
Solver Engine
Engine: Simplex LP
Solution Time: 0.016 Seconds.
Iterations: 3 Subproblems: 0
Solver Options
Max Time Unlimited, Iterations Unlimited, Precision 0.000001, Use Automatic Scaling
Max Subproblems Unlimited, Max Integer Sols Unlimited, Integer Tolerance 1%, Assume NonNegative
Objective Cell (Max)
Cell Name Original Value Final Value
$B$22 Profit Santa's Grotto $ 2,001,000 $ 2,001,000
Variable Cells
Cell Name Original Value Final Value Integer
$B$18 Production Quantity Santa's Grotto 18000 18000 Contin
$C$18 Production Quantity Advent Calendar 60000 60000 Contin
Constraints
Cell Name Cell Value Formula Status Slack
$B$27 Production Quantity Santa's Grotto 18000 $B$27<=$B$28 Not Binding 2000
$C$27 Production Quantity Advent Calendar 60000 $C$27<=$C$28 Binding 0
$B$31 Molding Machine-hours used 300 $B$31<=$D$31 Binding 0
$B$32 Packing Machine-hours used 270 $B$32<=$D$32 Not Binding 30

Sheet1

Input Parameters
Santa's Grotto Advent Calendar
Maximum Demand 20000 60000
Selling Price $55 $35
Material Cost $15 $8
Molding machine-hours required 0.01 0.002
Packing machine-hours required 0.005 0.003
Machine-hours available Cost per machine-hour
Molding 300 $500
Packing 300 $800
Decisions
Santa's Grotto Advent Calendar
Production Quantity 18000 60000
Objective
Profit $ 2,001,000
Constraints
Santa's Grotto Advent Calendar
Production Quantity 18000 60000 <=
Maximum Demand 20000 60000
Machine-hours used Machine-hours available
Molding 300 <= 300
Packing 270 <= 300
Calculations
Santa's Grotto Advent Calendar
Selling Price $55 $35
Material Cost $15 $8
Assembly Machine-Hour Cost $5.00 $1
Packing Machine-Hour Cost $2.50 $2.40
Margin per Unit $ 33 $ 24