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In view of such difficulties as multi-objective, multiple constraints and the uncertainty of calculating parameters in product line scheduling, the multi-objective batch scheduling model considering the blocking effect was constructed. The feasibility and superiority of the algorithm in this paper are verified through carrying out a comparison between the model in this paper and the traditional assembly line scheduling. The research conclusions are as follows. The probability distribution model is established using discrete product coding way to enhance the quality of initial population. The application of restarting mechanism can improve the diversity of population. The blocking constraints occurring in the processing of adjacent machines are considered, and multiple lot-streaming flowshop scheduling model considering the blocking effect is taken into consideration. The solutions to the problem of obstruction are sought by using hybrid artificial swarm method. The global convergence of the model is enhanced utilizing the Pareto local search method. The original cross operator is improved with the information of non-dominated solutions and new generations are generated. The established model is compared with the traditional flow shop model. It is verified that the algorithm in this paper has fairly high global convergence and can generate high quality solution. (Received, processed and accepted by the Chinese Representative Office.)

A Multi-Objective Lot-Streaming Optimization Scheduling Model Considering the Blocking Effect