Research Article
Solving a Location, Allocation, and Capacity Planning Problem with Dynamic Demand and Response Time Service Level
Table 2
Total capacity of mixed integer program (MIP) and simulation-based heuristic on TSP data sets: berlin52, pr76, and gr120.
| Total capacity | berlin52 (52 nodes, ) | pr76 (76 nodes, ) | gr120 (120 nodes, ) | Number of facilities () | 1 | 3 | 5 | 9 | 11 | 1 | 3 | 5 | 8 | 10 | 11 | 12 | 2 | 6 | 10 | 14 | 18 | 22 | 23 |
| MIP | 11 | 11 | 10 | 11 | 11* | 16 | 17 | 16 | 17 | 16 | 13 | 16 | — | — | 39 | 29 | 29 | 27 | 35 | Heuristic: arrival(), , dispatch | | | | | | | | | | | | | | | | | | | | Uniform(-), 0, FCFS | 10 | 9 | 9 | 9 | 11 | 12 | 12 | 11 | 11 | 11 | 11 | 12 | 22 | 21 | 21 | 20 | 18 | 22 | 23 | Normal(0.5), 0, FCFS | 11 | 10 | 10 | 10 | 11 | 13 | 13 | 13 | 13 | 12 | 12 | 13 | 25 | 22 | 22 | 23 | 23 | 23 | 24 | Uniform(-), 0, NN | 12 | 8 | 8 | 9 | 11 | 17 | 11 | 11 | 10 | 11 | 11 | 12 | 24 | 19 | 19 | 20 | 19 | 22 | 23 | Normal(0.5), 0, NN | 15 | 10 | 9 | 10 | 11 | 19 | 14 | 11 | 11 | 11 | 11 | 12 | 30 | 22 | 22 | 21 | 21 | 22 | 23 | Uniform(-), 0.5, FCFS | 15 | 10 | 11 | 10 | 11 | 14 | 14 | 13 | 12 | 12 | 12 | 13 | 29 | 23 | 24 | 24 | 22 | 22 | 24 | Normal(0.5), 0.5, FCFS | 16 | 11 | 11 | 10 | 12 | 27 | 15 | 14 | 14 | 14 | 13 | 15 | 33 | 26 | 25 | 28 | 26 | 26 | 28 | Uniform(-), 0.5, NN | 28 | 10 | 9 | 10 | 11 | 36 | 14 | 13 | 12 | 11 | 11 | 12 | 62 | 22 | 22 | 20 | 22 | 22 | 24 | Normal(0.5), 0.5, NN | 33 | 11 | 10 | 10 | 11 | 48 | 15 | 14 | 12 | 12 | 11 | 12 | 57 | 24 | 25 | 24 | 23 | 23 | 23 |
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*Optimal; —: no solution.
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