Question

A large retailer is planning to open a new store. Three locations in California are currently under consideration: South Coast Plaza (SCP), Fashion Island (FI), and Laguna Hills (LH). Transportation costs for the locations and costs, demands, and supplies for existing locations and warehouses (origins), are shown below. Each of the locations has a demand potential of 300 units per week. Which location would yield the lowest transportation costs for the system? Use the Minimum Cell Cost Heuristic. (Omit the $ sign in your response.) TO From FI $7 6 LH $5 4 6 Warehouse SCP $4 2 5

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Answer #1

With the assumption that the original supply does not change:

A B LH
1 15 9 5
2 10 7 4
3 14 18 6
A B LH
1 0.0 500.0 0.0 500.0 <= 660 Supply constraints
2 340.0 0.0 0.0 340.0 <= 340
3 60.0 0.0 0.0 60.0 <= 200
Demand constraints 400.0 500.0 0.0
= = =
400 500 0

So the allowable units from

1 - 160 units (660-500)

2 - 0 units (340-340)

3 - 140 units (200-60)

The costs are:

LH FI SCP
Units Rate Rate Rate
160 5 7 4
0 4 6 11
140 6 5 5
Total cost 1640 1820 1340
Best

The actual description without any assumption:

A B SCP
1 15 9 4
2 10 7 11
3 14 18 5
A B SCP
1 0.0 500.0 160.0 660.0 <= 660 Supply constraints
2 340.0 0.0 0.0 340.0 <= 340
3 60.0 0.0 140.0 200.0 <= 200
Demand constraints 400.0 500.0 300.0
= = =
400 500 300
Total cost 10080.00
Obj func Minimize
Transport SCP 1340
A B FI
1 15 9 7
2 10 7 6
3 14 18 5
A B FI
1 60.0 500.0 100.0 660.0 <= 660 Supply constraints
2 340.0 0.0 0.0 340.0 <= 340
3 0.0 0.0 200.0 200.0 <= 200
Demand constraints 400.0 500.0 300.0
= = =
400 500 300
Total cost 10500.00
Obj func Minimize
Transport FI 1700
A B LH
1 15 9 5
2 10 7 4
3 14 18 6
A B LH
1 0.0 500.0 160.0 660.0 <= 660 Supply constraints
2 340.0 0.0 0.0 340.0 <= 340
3 60.0 0.0 140.0 200.0 <= 200
Demand constraints 400.0 500.0 300.0
= = =
400 500 300
Total cost 10380.00
Obj func Minimize
Transport LH 1640

So :

Total cost
Transport SCP 1340 10080 Best
Transport FI 1700 10500
Transport LH 1640 10380

So best is SCP

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