Research Article
Solving a Location, Allocation, and Capacity Planning Problem with Dynamic Demand and Response Time Service Level
Table 3
Total capacity of mixed integer program (MIP) and simulation-based heuristic on TSP data sets: ch130, kroA150, and si175.
| Total capacity | ch130 (130 nodes, ) | kroA150 (150 nodes, ) | sil175 (175 nodes, ) | Number of facilities () | 2 | 7 | 10 | 13 | 16 | 19 | 1 | 4 | 8 | 12 | 17 | 20 | 7 | 10 | 15 | 20 | 25 | 30 |
| MIP | — | 106 | 35 | 40 | 42 | 42 | 54 | — | 44 | 51 | 56 | 50 | — | — | — | — | — | 115 | Heuristic: arrival(), , dispatch | | | | | | | | | | | | | | | | | | | Uniform(-), 0, FCFS | 19 | 17 | 17 | 17 | 18 | 19 | 23 | 18 | 18 | 17 | 17 | 20 | 59 | 56 | 55 | 54 | 54 | 53 | Normal(0.5), 0, FCFS | 20 | 20 | 20 | 20 | 19 | 21 | 25 | 20 | 19 | 21 | 19 | 21 | 68 | 67 | 66 | 65 | 65 | 67 | Uniform(-), 0, NN | 20 | 16 | 15 | 15 | 16 | 19 | 26 | 17 | 16 | 16 | 17 | 20 | 66 | 62 | 58 | 58 | 58 | 56 | Normal(0.5), 0, NN | 22 | 17 | 17 | 16 | 16 | 19 | 27 | 18 | 16 | 16 | 17 | 20 | 77 | 74 | 71 | 72 | 70 | 68 | Uniform(-), 0.5, FCFS | 23 | 20 | 19 | 20 | 19 | 20 | 43 | 21 | 20 | 21 | 18 | 20 | 109 | 88 | 82 | 76 | 76 | 74 | Normal(0.5), 0.5, FCFS | 24 | 22 | 23 | 24 | 20 | 22 | 51 | 23 | 21 | 23 | 20 | 22 | 123 | 103 | 92 | 88 | 85 | 86 | Uniform(-), 0.5, NN | 26 | 18 | 17 | 16 | 16 | 19 | # | 18 | 17 | 17 | 18 | 20 | 112 | 90 | 78 | 72 | 70 | 67 | Normal(0.5), 0.5, NN | 27 | 19 | 18 | 18 | 17 | 20 | # | 19 | 17 | 19 | 17 | 21 | 125 | 105 | 91 | 85 | 82 | 83 |
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—: no solution; #no convergence in capacity.
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