Reference no: EM131144866

Directions:

• The following software may be used:
o Excel->Data Analysis
o Excel QM
o QM for Windows (PC only)

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• The calculations are not your final answer. A summary/explanation in your own word for each question posed should be included.

• Question 6requires the use of the States Data File. The States Data file is located in Doc Sharing->Instructor Graded Projects.

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1. Even though independent gasoline stations have been having a difficult time, Susan Solomon has been thinking about starting her own independent gas station. Susan's problem is to decide how large her station should be. The annual returns will depend on both the size of the station and a number of marketing factors related to oil industry and demand for gasoline. After careful analysis, Susan developed the following table:

Size of Gasoline Station	Good Market ($)	Fair Market ($)	Poor Market ($)
Small	$1500	$750	-$500
Medium	$3500	$1500	-$1000
Large	$7500	$4500	-$20,000

1. What is the Maximax decision?

2. What is the Maximin decision?

3. What is the criterion of realism decision? Use α = 0.4.

4. Develop an Opportunity Loss Table.

5. What is the Minimax Regret Decision?

2. Data collected on the yearly demand for 50-pound bags of fertilizer at Sunshine Garden Supply are shown in the following table.

Year	Demand for Fertilizer (1,000s of Bags)
1	15
2	13
3	12
4	10
5	9
6	9
7	12
8	14
9	10
10	15
11	12

1. Develop a three-year moving average to forecast sales in year 12.

2. Develop a three-year weighted average to predict demand in year 12, in which sales in the most recent year is given a weight of 4, the second most recent year is weighted 2 and sales in the third most recent year has a weight of 1.

3. Develop a regression/trend line to estimate the demand for fertilizer in year 12.

4. Analysis of the forecasting errors indicates which forecasting method (moving average, weighted moving average or regression) is best in this situation?

3. Kaplan College has decided to "wire" its campus. The first stage in this effort is to install the "backbone," i.e., to connect all the buildings. The table below gives the distances between the various buildings on campus in hundreds of feet.

Distances in Hundreds of Feet
From	To
	Building 1	Building 2	Building 3	Building 4	Building 5	Building 6
Building 1		25	22	10	12	15
Building 2			18	12	9	16
Building 3				12	23	24
Building 4					20	27
Building 5						19
Building 6

1. How should the buildings be connected to minimize the total length of cable?

2. What length of cable is required?

4. The following represents the distances in miles from a warehouse (node 1) to various cities in Montana. The major outlet store is located at node 7.

From Node	To Node	Distance
1	2	500
1	4	250
2	3	200
2	4	120
3	4	50
3	5	75
3	6	350
4	5	500
4	7	200
5	6	245
5	7	375
6	7	400

1. Find the shortest route and distance from Node 1 to Node 7.

5. The network of a city sewer system and their capacities are shown below. Remember that the arc has both capacity and reverse capacity. For example, row 1 is the flow from node 1 to node 2 and row 2 is the reverse flow from node 2 to node 1. There are seven branches in this network.

From Node	To Node	Fluid Flow
1	2	50
2	1	20
1	3	75
3	1	100
1	4	125
4	1	75
1	5	25
5	1	15
2	4	50
4	2	75
3	4	100
4	3	45
3	5	35
5	3	25

1. Determine the maximum flow (in hundreds of gallonsof water per minute) from node 1 to node 5.

6. The governor of Michigan believes that the state can improve the state's poverty rate if the state can reduce the college debt carried by its citizens and if they can reduce the percent of the population not covered by health insurance. (This requires you to use the States Dataset file that is included in Doc Sharing->Instructor Graded Projects.)

1. Using the States Data Set and Excel DataAnalysis (Regression),create the multiple regression prediction equation of the form Y = β0 + β1(X1) + β2(X2)

2. Predict the poverty rate for Michigan if the college debt was $30,000 and the percent not covered by insurance was 10% or 10?

7. A concessionaire for the local ballpark has developed a table of conditional values for the various alternatives (stocking decisions) and states of nature (size of crowd).

Stocking Decision	Large Crowd ($)	Average Crowd ($)	Small Crowd ($)
Large Inventory	$15,000	$12,000	-$1,000
Average Inventory	$12,500	$25,000	$7,500
Small Inventory	$4,000	$3,000	$2,500

If the probabilities associated with the states of nature are 0.20 for a large crowd, 0.25 for an average crowd, and 0.55 for a small crowd, determine:

1. The alternative that provides the greatest expected monetary value (EMV).

2. The expected value of perfect information (EVPI).