Question
An electronics manufacturer wants to expand its market in Europe. The demand in Europe is forecasted as: England France Spain Germany Italy Sweden 24 32
An electronics manufacturer wants to expand its market in Europe. The demand in Europe is forecasted as:
England | France | Spain | Germany | Italy | Sweden |
24 | 32 | 28 | 19 | 35 | 27 |
*in million units
Further analysis shows the variable costs (production, inventory and holding, transportation, tax, and tariffs) of meeting demand from a source to a market per 1,000,000 units:
Demand Region | ||||||
Production and Transportation Cost per 1,000,000 units | ||||||
Supply Region | England | France | Spain | Germany | Italy | Sweden |
England | 150 | 180 | 133 | 169 | 128 | 120 |
France | 154 | 232 | 190 | 191 | 202 | 72 |
Spain | 227 | 231 | 168 | 174 | 143 | 135 |
Germany | 149 | 115 | 100 | 137 | 116 | 99 |
Italy | 236 | 178 | 122 | 94 | 243 | 226 |
Sweden | 248 | 73 | 70 | 226 | 246 | 116 |
*in thousands of dollars
The company considers two plant sizes in each location. The annualized fixed cost of plants for each location is found to be:
Fixed Cost ($) | Low Capacity | Fixed Cost ($) | High Capacity | |
England | 17,000 | 20 | 19,000 | 35 |
France | 12,000 | 20 | 22,000 | 35 |
Spain | 10,000 | 20 | 18,000 | 35 |
Germany | 9,000 | 20 | 15,000 | 35 |
Italy | 8,000 | 20 | 12,000 | 35 |
Sweden | 9,000 | 20 | 16,000 | 35 |
*in thousands of dollars
- What is the lowest cost achievable for the production and distribution network?
- What is the minimum cost configuration (where are the plants located and in what is the capacity of each plant)?
- Which plants serve which market in what volume?
NOTE: Please remember to add a constraint that will ensure having either a small capacity or a high capacity facility at a location. To do so, you can add up the binary variables of plant capacity for a location, and set it less than or equal to 1 as the right-hand side value.
PLEASE USE EXCEL TO SOLVE THIS PROBLEM
Demand Region | ||||||||||
Production and Transportation Cost per 1,000,000 units | ||||||||||
Supply Region | England | France | Spain | Germany | Italy | Sweden | Fixed Cost ($) | Low Capacity | Fixed Cost ($) | High Capacity |
England | 150 | 180 | 133 | 169 | 128 | 120 | 17000 | 20 | 19000 | 35 |
France | 154 | 232 | 190 | 191 | 202 | 72 | 12000 | 20 | 22000 | 35 |
Spain | 227 | 231 | 168 | 174 | 143 | 135 | 10000 | 20 | 18000 | 35 |
Germany | 149 | 115 | 100 | 137 | 116 | 99 | 9000 | 20 | 15000 | 35 |
Italy | 236 | 178 | 122 | 94 | 243 | 226 | 8000 | 20 | 12000 | 35 |
Sweden | 248 | 73 | 70 | 226 | 246 | 116 | 9000 | 20 | 16000 | 35 |
Demand | 24 | 32 | 28 | 19 | 35 | 27 | ||||
Decision Variables | ||||||||||
Demand Region | ||||||||||
Production and Transportation Cost per 1,000,000 units | Low Capacity | High Capacity | ||||||||
Supply Region | England | France | Spain | Germany | Italy | Sweden | (1=open) | (1=open) | ||
England | ||||||||||
France | ||||||||||
Spain | ||||||||||
Germany | ||||||||||
Italy | ||||||||||
Sweden | ||||||||||
Constraints | ||||||||||
Supply Region | Excess Capacity | |||||||||
England | =H20*I5+I20*K5-SUM(B20:G20) | |||||||||
France | =H21*I6+I21*K6-SUM(B21:G21) | |||||||||
Spain | =H22*I7+I22*K7-SUM(B22:G22) | |||||||||
Germany | =H23*I8+I23*K8-SUM(B23:G23) | |||||||||
Italy | =H24*I9+I24*K9-SUM(B24:G24) | |||||||||
Sweden | =H25*I10+I25*K10-SUM(B25:G25) | |||||||||
England | France | Spain | Germany | Italy | Sweden | |||||
Unmet Demand | =B11-SUM(B20:B25) | =C11-SUM(C20:C25) | =D11-SUM(D20:D25) | =E11-SUM(E20:E25) | =F11-SUM(F20:F25) | =G11-SUM(G20:G25) | ||||
Objective Function | =SUMPRODUCT(B20:G25,B5:G10)+SUMPRODUCT(H20:H25,H5:H10)+SUMPRODUCT(I20:I25,J5:J10) |