Abstract: Some embodiments provide systems to control a production facility according to a production schedule comprising: a processing resource; a non-transitory machine readable medium storing executable instructions that, when executed, cause the processing resource to: generate, using a first trained model, sets of forecasted production optimizations of the multiple production lines using predicted product demand and production line data, relative to multiple objective constraints comprising production line change over time, a maximum uptime limit, and production line utilization; generate, using a second trained model and the sets of forecasted production optimizations, a first production schedule of the multiple production lines while complying with the multiple objective constraints; and control one or more system components of the multiple production lines consistent with the first production schedule to implement production of a respective one of the multiple different products.

Abstract: Systems and methods of production network simulation optimization are disclosed. An optimization request identifying a target production node is received and an optimization engine is implemented to optimize a sequence of operation for one or more sub-nodes of the target production node. The optimization engine utilizes an objective function configured to maximize an adherence percentage. An optimized production data structure including the optimized sequence of operation of the one or more sub-nodes of the target production node is output.