System and method for location optimization for BDMS

A system comprising:

• a processor;
• a memory communicatively coupled to the processor, the memory storing instructions that are executable by the processor to perform operations comprising:
• receiving first user input, the first user input identifying a plurality of geographic locations;
• performing a plurality of simulation runs based on the first user input;
• generating a plurality of hash function results, wherein each hash function result of the plurality of hash function results corresponds to a respective simulation run of the plurality of simulation runs;
• generating a plurality of models based on the plurality of hash function results;
• receiving second user input, the second user input identifying a selected variable and a threshold;
• identifying a particular geographic location of the plurality of geographic locations by iteratively performing iterative steps, the iterative steps comprising:
• identifying a potential geographic location of the plurality of geographic locations;
• performing a simulation using the plurality of models and the potential geographic location to identify an updated value for the selected variable;
• and
• updating the plurality of models based on results of the simulation, wherein the results of the simulation include the updated value, wherein the iterative steps are repeated until the updated value satisfies the threshold, and wherein the particular geographic location corresponds to the potential geographic location identified in the last iteration performed;
• and
• generating an output that identifies the particular geographic location.

A non-transitory computer readable memory storing instructions that are executable by a processor to perform operations comprising:

• receiving first user input, the first user input identifying a plurality of geographic locations;
• performing a plurality of simulation runs based on the first user input;
• generating a plurality of hash function results, wherein each hash function result of the plurality of hash function results corresponds to a respective simulation run of the plurality of simulation runs;
• generating a plurality of models based on the plurality of hash function results;
• receiving second user input, the second user input identifying a selected variable and a threshold;
• identifying a particular geographic location of the plurality of geographic locations by iteratively performing iterative steps, the iterative steps comprising:
• identifying a potential geographic location of the plurality of geographic locations;
• performing a simulation using the plurality of models and the potential geographic location to identify an updated value for the selected variable;
• and
• updating the plurality of models based on results of the simulation, wherein the results of the simulation include the updated value, wherein the iterative steps are repeated until a user specified number of repetitions have been performed, and wherein the particular geographic location corresponds to the potential geographic location identified in the last iteration performed;
• and
• generating an output that identifies the particular geographic location.