Research Article

Solving a Location, Allocation, and Capacity Planning Problem with Dynamic Demand and Response Time Service Level

Table 4

Total capacity of mixed integer program (MIP) and simulation-based heuristic on TSP data sets: d198, tsp225, and gil262.

Total capacityd198 (198 nodes, )tsp225 (225 nodes, )gil262 (262 nodes, )
Number of facilities ()4561025101520304102025303540

MIP565284988195108124
Heuristic: arrival(), , dispatch
 Uniform(-), 0, FCFS1212121434292731293042403739384041
 Normal(0.5), 0, FCFS1314151637323131343347454343464647
 Uniform(-), 0, NN99101140272525243047393635393740
 Normal(0.5), 0, NN109111246292729273055433840393941
 Uniform(-), 0.5, FCFS1414131550343131323254464543434345
 Normal(0.5), 0.5, FCFS1514141656373535373560505050514951
 Uniform(-), 0.5, NN9101012#312630253089433739383741
 Normal(0.5), 0.5, NN10101012#352731293298454242404344

—: no solution; #no convergence in capacity.