Stat 279 Operations Research
Stat 279 Operations Research
Problem 1.
Nanaq Europe-
Regions Electric motors
Gaydon (UK) 140,000
Rouen (France) 130,000
Dresden (Germany) 160,000
Nanaq International
Regions Refrigerators.
Jung (Sweden) 130,000
Reynosa (Mexico) 120,000
Pohang (South Korea) 145,000
East Tamaki (New Zealand) 25,000
Total demand for motors.
∑DD=140 + 700+520+800= 2,160 motors
Transportation Tableau.
Transportation cost tableau.
Interpret the starting solution from the least cost method.
Total minimum cost:
(140*20) + (470*140) + (50*180) + (700 * 210) + (730* 280)+ (70*320)
= 451,400Euros.
Using the Least cost method to solve the transportation problem, it can be concluded that to obtain the minimum cost of transporting to Nanuq International, it will cost $ 451,400 and the supplies should originate from the suppliers in Europe as indicated by the tableau above. It will have to transport a total of 2,160 electric motors.
Calculate the total cost according to the excel solution. Also comment on any excess supply or demand.
According to excel solution, the Total minimum cost is $ 167,000
According to excel, the following persons should be assigned the following projects;
REFERENCE LIST.
Problem 1.
Nanaq Europe-
Regions Electric motors
Gaydon (UK) 140,000
Rouen (France) 130,000
Dresden (Germany) 160,000
Nanaq International
Regions Refrigerators.
Jung (Sweden) 130,000
Reynosa (Mexico) 120,000
Pohang (South Korea) 145,000
East Tamaki (New Zealand) 25,000
| Supplied by Nanuq Europe | To Nanaq International | Supply(SS) | |||
| Jung | Reynosa | Pohang | East Tamaki | ||
| Gaydon | 80 | 240 | 180 | 280 | 780 |
| Rouen | 40 | 210 | 200 | 320 | 770 |
| Dresden | 20 | 250 | 140 | 200 | 610 |
| Demand(DD) | 140 | 700 | 520 | 800 | 2160 |
∑DD=140 + 700+520+800= 2,160 motors
- Total supply for motors.
- Use LCM (Least cost method) to construct a transportation tableau.
| No | Supplier | Destination | Cost (Euros) | Allocation |
| 1. | Dresden | Jung | 20 | 140 |
| 2. | Dresden | Pohang | 140 | 470 |
| 3. | Gaydon | Pohang | 180 | 50 |
| 4. | Rouen | Reynosa | 210 | 700 |
| 5. | Gaydon | East Tamaki | 280 | 730 |
| 6. | Rouen | East Tamaki | 320 | 70 |
| Supplied by Nanuq Europe | To Nanaq International | Supply(SS) | |||
| Jung | Reynosa | Pohang | East Tamaki | ||
| Gaydon | 0 | 0 | 180 | 280 | 780 |
| Rouen | 0 | 210 | 0 | 320 | 770 |
| Dresden | 20 | 0 | 140 | 0 | 610 |
| Demand(DD) | 140 | 700 | 520 | 800 | 2160 |
| Unit cost (Q) | Allocation (C) | Total Cost $ (C*Q) Euros |
| 20 | 140 | 2,800 |
| 140 | 470 | 65,800 |
| 180 | 50 | 9,000 |
| 210 | 700 | 147,000 |
| 280 | 730 | 204,400 |
| 320 | 70 | 22,400 |
| ∑C = 1,150 | ∑Q = 2,160 | ∑TC = 451,400 |
Total minimum cost:
(140*20) + (470*140) + (50*180) + (700 * 210) + (730* 280)+ (70*320)
= 451,400Euros.
Using the Least cost method to solve the transportation problem, it can be concluded that to obtain the minimum cost of transporting to Nanuq International, it will cost $ 451,400 and the supplies should originate from the suppliers in Europe as indicated by the tableau above. It will have to transport a total of 2,160 electric motors. - Obtain the optimal solution using excel. Cut and paste the excel output into word document and interpret the solution.
- 140 Electric motors should be transported from Rouen to Jung.
- 70 Electric motors should be transported from Gaydon to Reynosa
- 630 Electric motors should be transported from Rouen to Reynosa
- 190 Electric motors should be transported from Gaydon to East Tamaki
- 610 Electric motors should be transported from Dresden to East Tamaki.
- According to excel, the total cost is 423, 500
Calculate the total cost according to the excel solution. Also comment on any excess supply or demand.
According to excel solution, the Total minimum cost is $ 167,000
According to excel, the following persons should be assigned the following projects;
| Person Assigned | Work Project. |
| Mary | 2 |
| Elizabeth | 4 |
| Steven | 1 |
| Joshua | 3 |
- Mokhtar S. B., John, J. J., &Hanif, D. S. (2011). Linear Programming and Network Flows (3rd). Hoboken, New Jersey: John Wiley & Sons Inc.
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