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Flow shop scheduling problems under uncertainty with finite intermediate storage based on fuzzy theory

Production scheduling is an important part in the factories, and there are various uncertainties in the production scheduling of industrial processes. A scheduling mathematical model for flow shop problems with uncertain processing time with finite intermediate storage has been established based on fuzzy programming theory. Furthermore, a fuzzy immune scheduling algorithm combined with the characteristics of the immune algorithm is proposed, which prevents the possibility of stagnation in the iteration process and achieves fast convergence for global optimization. The effectiveness and efficiency of the fuzzy scheduling model and the proposed method are demonstrated by simulation results.