Iterative Optimization-based Simulation (IOS) with deterministic and stochastic Trigger events in simulated time

A novel simulation-optimization model called Trigger-based Iterative Optimization-based Simulation (TIOS) framework is designed, developed and examined. This framework includes a threefold contribution of simulation, optimization and database manager. These system managers operate in harmony to achieve the goal of selecting the best system configurations (e.g. scheduling, resource allocation, etc.) for different states of the system. Considering the major activates that cause changes system´s status, this frameworks is designed in such a way that updates the system configuration whenever needed. The proposed IOS approach is used to simulate a two-stage non-deterministic flow shop problem. The results prove a positive impact of the TIOS approach on the system´s performance measures, although it takes longer to execute compared to the heuristic dispatching rules approaches.