Advancements in operations planning algorithms are sought for use in simulations with the time-warp operating system executing on parallel computers. The objective of this project is to determine the feasibility of operations planning with neural networks as the decision making mechanism. This project will consist of construction of a network model, model initialization, and testing. Experiments involving bidirectional associative memories as the neural network will be tested in both sequential and parallel discrete event simulation (PDES) environments. Results of accurate decision making and increased simulation speed could lead to future development of a PDES production version as a planning tool.Advancements in operations planning can be extended commercially to planning for transportation industries, logistics, production factories, and construction.neural networks, associative memory, simulation, operations researchSTATUS: Phase I Only
