Agent-based tobacco-oriented industries Scheduling Optimization Simulation

In some of process industry, as the group-based production formula is adapted, the process more complicated, although application of the general algorithm can given the number of better solutions, but the choice of the best production scheduling solutions is still a problem. Agent-based simulation system in the process of settlement of discrete, non-linear simulation system has significant advantages, this article use agent-based method to modeling the production process, to simulate the execute process of each schedule solution in solution group, then compared the results of the simulation to find the best production schedule solution, provide the optimizes production scheduling solution for practical production