DryIce, Inc., is a manufacturer of air conditioners. The company anticipates nationwide demand for the next year to be 180,000 units in the South, 120,000 units in the Midwest, 110,000 units in the East, and 100,000 units in the West. Managers at DryIce are designing the manufacturing network and have selected four potential sites --- New York, Atlanta, Chicago and San Diego. Plants could have a capacity of 200,000 units. The annual fixed costs at the four locations are shown in the following table, along with the cost of producing and shipping an air conditioner to each of the four markets. Where should Dryice build its factories and what will be the quantities to be produced at each location and shipped to each market? How does the solution change if you are required to locate a plant in each location? Comment on the solution
east | south | midwest | west | fixed costs(200k) | |
new york | 211 | 232 | 240 | 300 | 6,000,000 |
atlanta | 232 | 212 | 230 | 280 | 5,500,000 |
chicago | 238 | 230 | 215 | 270 | 5,600,000 |
san diego | 299 | 280 | 270 | 225 | 6,100,000 |
total demand | 110,000 | 180,000 | 120,000 | 100,000 |
The Vogel's Approximation Method or VAM is an iterative procedure calculated to find out the initial feasible solution of the transportation problem.
Our initial matrix we have
East | South | Mid West | West | Plant max capacity | Fixed Cost | |
New York | 211 | 232 | 240 | 300 | 2,00,000 | 6000000 |
Atlanta | 232 | 212 | 230 | 280 | 2,00,000 | 5500000 |
Chigago | 238 | 230 | 215 | 270 | 2,00,000 | 5600000 |
San Diego | 299 | 280 | 270 | 225 | 2,00,000 | 6100000 |
Total Demand | 110000 | 180000 | 120000 | 100000 |
We follow the follwoing steps to find our first solution
East | South | Mid West | West | Plant max capacity | Iteration 1 | Fixed Cost | |
New York | 211 | 232 | 240 | 300 | 2,00,000 | 21 | 6000000 |
Atlanta | 232 | 212 | 230 | 280 | 2,00,000 | 20 | 5500000 |
Chigago | 238 | 230 | 215 | 270 | 2,00,000 | 15 | 5600000 |
San Diego | 299 | 280 | 270 | 225 | 2,00,000 | 45 | 6100000 |
Total Demand | 110000 | 180000 | 120000 | 100000 | |||
Iteration 1 | 21 | 20 | 15 | 45 |
As complete demand of colmun "West " is fulfilled so we remove it
East | South | Mid West | Plant max capacity | Iteration 2 | Fixed Cost | |
New York | 211 | 232 | 240 | 2,00,000 | 21 | 6000000 |
Atlanta | 232 | 212 | 230 | 2,00,000 | 20 | 5500000 |
Chigago | 238 | 230 | 215 | 2,00,000 | 15 | 5600000 |
San Diego | 299 | 280 | 270 | 1,00,000 | 10 | 6100000 |
Total Demand | 110000 | 180000 | 120000 | |||
Iteration 2 | 21 | 20 | 15 |
We make allocation to new york at EAST
South | Mid West | Plant max capacity | Iteration 3 | Fixed Cost | |
New York | 232 | 240 | 90,000 | 8 | 6000000 |
Atlanta | 212 | 230 | 2,00,000 | 18 | 5500000 |
Chigago | 230 | 215 | 2,00,000 | 15 | 5600000 |
San Diego | 280 | 270 | 1,00,000 | 10 | 6100000 |
Total Demand | 180000 | 120000 | |||
Iteration 3 | 20 | 15 |
Making allocation at Atlanta Chicago
In last allocation we allocate to Chicago Middle west
We can summarise our allocation as
The above table shows most optimised way in which we can do allocations.
Where should Dryice build its factories and what will be the quantities to be produced at each location and shipped to each market?
We can evaluate the cost beared at each location to answer question
Place | Fixed cost | Variable cost | Total cost (10^4) |
New York | 6000000 | 211*110000+232*90000 | 5009 |
Atlanta | 5500000 | 212*180000+230*20000 | 4776 |
Chigago | 5600000 | 215*120000+230*80000 | 4980 |
San Diego | 6100000 | 225*100000+270*100000 | 5560 |
So we can conclude he should make his plant at ATLANTA. He will be shipping to south and middle west if he is working his plant with maximum capacity. In case he want to keep his cost to minimum he should only ship to south.
In case he is interested to make plant in every location, the respective plant capacity is given in table below
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