Scheduling for Continuous Production Processes with Demand Uncertainty

In this paper, an effective fuzzy scheduling model is presented, which is used to solve scheduling for continuous production processes with demand uncertainty, and a due-data windows for (orders) is considered. A trangular fuzzy number is used to represent the uncertainty, and a genetic algorithm is given to solve the model. Simulation results illustrated the efficiency of the proposed model and algorithm.