Stochastic optimization based on deterministic approximations (SODA)

Open-source method that finds the best control settings for large manufacturing networks where outcomes are uncertain. It swaps the uncertain parts for simple estimates so answers arrive quickly, while staying within required limits.

Stochastic optimization based on deterministic approximations (SODA)(CODE) is an open source package containing the algorithm to perform stochastic optimization based on deterministic approximations to efficiently solve the problem of finding control settings for stochastic processes in a large manufacturing service network subject to the satisfaction of stochastic feasibility constraints.