碳排放政策下考虑合金含量不确定的废钢铁再制造炉料优化

Scrap charge for production of high quality steel is optimized considering the composition uncertainty under carbon emission policy. In this paper, we assume the uncertainty as interval number and obtain the minimize cost considering the composition requirements for the final product, demand fulfillment and raw materials' supply limit with the method chance constrained linear programming. A numerical example is performed and results show that reasonable degree of constraint satisfaction can reduce total cost simultaneously keep failure risk in a low level. Mandatory carbon policy can effectively reduce carbon emissions, while carbon cap and trade policy has little effect on charge decision.