Please fulfill the following tasks:
1. Find the best location for a central warehouse (CW) in each region using the center of gravity method based on the data given below (using longitude and latitude of each regional WH location.
Demand as per sales in each region |
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EU North |
EU West |
EU South |
North America |
South America |
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Location |
Demand* |
Location |
Demand* |
Location |
Demand* |
Location |
Demand* |
Location |
Demand* |
Copenhagen |
50% |
Venlo |
40% |
Pozman |
50% |
Cincinatti |
40% |
Riberao Preto |
40% |
Linkoping |
50% |
Mannheim |
20% |
Prague |
50% |
Charlotte |
30% |
Brasilia |
30% |
Paris |
40% |
Memphis |
30% |
Curitiba |
30% |
*in % of total sales per region
EU North | |||
Location | Demand* | X | Y |
Copenhagen | 50% | 55.676 | 12.568 |
Linkoping | 50% | 58.411 | 15.621 |
CW location --> | 57.043 | 14.095 | |
EU West | |||
Location | Demand* | X | Y |
Venlo | 40% | 51.373 | 6.173 |
Mannheim | 20% | 49.487 | 8.466 |
Paris | 40% | 48.857 | 2.352 |
CW location --> | 49.989 | 5.103 | |
EU South | |||
Location | Demand* | X | Y |
Pozman | 50% | 52.406 | 16.925 |
Prague | 50% | 50.076 | 14.438 |
CW location --> | 51.241 | 15.682 | |
North America | |||
Location | Demand* | X | Y |
Cincinatti | 40% | 39.103 | 84.512 |
Charlotte | 30% | 35.227 | 80.843 |
Memphis | 30% | 35.150 | 90.049 |
CW location --> | 36.754 | 85.072 | |
South America | |||
Location | Demand* | X | Y |
Riberao Preto | 40% | 21.170 | 47.810 |
Brasilia | 30% | 15.827 | 47.922 |
Curitiba | 30% | 25.429 | 49.267 |
CW location --> | 20.845 | 48.281 |
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