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In the steel making process, effective scheduling is needed for improvement of productivity. This paper study a dynamic process with a release time, where the process times of job may change during production process due to uncertainties, the objective is to ensure continuity of the production process and just in time delivery of final products. A solution methodology is developed which combine a model predictive control (MPC) strategy based approach and lagrangian relaxation algorithm. The MPC approach tackle the parallel process scheduling problem, and the rolling horizon approach allows applying lagrangian relaxation algorithm to solve the model of the scheduling problem in a rolling fashion. Computational experiments are carried out comparing the proposed. Method with the passive adjustment method often adopted by some quality control engineers. The result shows that the proposed method yields significantly better results.

Development of a Quality Control Programme for steel production: A case study