Question: MGT 355 Examination
Answer all 5 questions. All work must be shown to qualify for partial credit. You are allowed to use Excel for the forecasting problems. Due Date on or before March 25, 2017.
1. The following payoff table shows the profit for a decision problem with two states of nature and two decision alternatives:
Decision Alternatives State of Nature
S1 S2
D1 10 1
D2 4 3
a. Use graphical sensitivity analysis to determine the range of probabilities of state of nature S1 for which each of the decision alternatives has the largest expected value.
b. Suppose P(S1) = 0.2 and P(S2) = 0.8. What is the best decision using the expected value approach?
c. Perform sensitivity analysis on the payoffs for decision alternative D1. Assume the probabilities are as given in part (b) and the range of payoffs under states of nature S1 and S2 that will keep the solution found in part (b) optimal. Is the solution more sensitive to the payoff under state of nature S1 or S2?
2. The monthly sales for Telco Batteries, Inc., were as follows in Table 1:
Table 1: Monthly Sales
MONTH SALES
January 10
February 14
March 15
April 14
May 12
June 10
July 14
August 18
September 20
October 20
November 22
December 23
Forecast January sales using each of the following:
a) A 3-month moving average.
b) Exponential smoothing using an alpha = 0.25
c) Use Trend projection model to generate the forecast.
d) Which of these forecast models is the best and why?
3.
Destination
Origin Boston Chicago St. Louis Lexington Supply
Cleveland 3 2 7 6 5000
Bedford 7 5 2 3 6000
York 2 5 4 5 2500
Trenton 4 6 2 3 2500
Demand 6500 5000 2500 2000
The above table presents a transportation cost matrix for distribution of goods from the demand centers known as the Origin to the Supply Centers known as the Destination. Develop a linear programming formulation of this problem and find the optimal solution for the transportation problem. You must use Excel Solver to solve this problem.
4. Consider the following all-integer linear program:
Min 1x1 + 2x2
s.t.
1x1 + 4x2 < 21
2x1 + 1x2 > 7
3x1 + 1.5x2 < 21
-2x1 + 6x2 > 0
x1, x2> 0
a. Graph the constraints for this problem.
b. Solve the LP problem and identify the feasible region, corner point solutions, and the optimal solution.
c. Suppose the objective function is changed to max 5x1 + 2x2. Find the optimal solution and the value of the objective function.