Arnoff Enterprises manufactures the central processing unit (CPU) for a line of personal computers. The CPUs are manufactured in Seattle, Columbus, and New York and shipped to warehouses in Pittsburgh, Mobile, Denver, Los Angeles, and Washington, DC for further distribution. The data below show the number of CPUs available at each plant and the number of CPUs required by each warehouse (these data are available in the Excel worksheet Group Discussion #4 - Dataset.x/sx). The shipping costs (dollars per unit) are also shown. Plant Seattle Columbus New York Demand Pittsburgh $10 $2 $1 3000 Mobile $20 $10 $20 5000 Warehouse Denver Los Angeles $5 $9 $8 $30 $7 $10 4000 6000 Washington $10 $6 $4 3000 Supply 9,000 4,000 8,000 Data Set: Arnoff Enterprises Data Pittsburgh $10.00 $2.00 $1.00 3000 Seattle Columbus New York Demand Mobile $20.00 $10.00 $20.00 5000 Denver $5.00 $8.00 $7.00 4000 Los Angeles Washington $9.00 $10.00 $30.00 $10.00 $4.00 6000 3000 Supply 9000 4000 8000 $6.00 Model Pittsburgh Mobile Denver Los Angeles Washington Seattle Columbus New York Decision variables Seattle Columbus New York Supply Constrains Amount Shipped From Pittsburgh Mobile Denver Los Angeles Washington Demand Constraints Amount Shipped To Total cost Arnoff Enterprises would like to find an optimal solution to determine the number of CPUs that should be shipped from each plant to each warehouse to minimize the total transportation cost. Use the techniques explained in Supplement E: Modeling the Transportation Problem to address the following: 3. According to your results, what is the total transportation cost? How many CPUs should be manufactured in Seattle? How many CPUs should be shipped from New York to the warehouse in Washington