Mathematical model and solving algorithm for the lot planning of slab hot rolling
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摘要: 根據熱軋工藝特點將板坯熱軋批量計劃編制問題歸結為不確定旅行商數的多旅行商問題,建立了以生產成本最小化和產品質量最優化為主次目標且考慮加熱區段能耗的生產調度數學模型,并采用遺傳算法和禁忌搜索相結合的混合算法進行求解.基于實際生產數據的計算結果表明:該模型充分滿足了現場熱軋批量計劃編制的需求,在軋制單元數最優的基礎上,縮短了傳擱時間,提高了熱送熱裝率,優化了產品質量.與人機結合方式相比,本文模型的計算結果體現了更好的高產和節能效果.Abstract: According to the technical demand of hot-rolling production,the lot planning of slab hot rolling was summed up as a multiple traveling salesperson problem with uncertain traveling salesman number.A production scheduling mathematical model considering the energy consumption of the heating section was proposed,with minimizing the production cost as the primary objective and optimizing the product quality as the secondary objective.A hybrid algorithm based on the genetic algorithm and the tabu search algorithm was proposed to solve the problem.Simulation results of practical data show that the mathematical model fully meets the demand of hot-rolling production.On the basis of the optimal number of rolling units,the transport time is shortened,the hot charging rate is increased and the product quality is optimized.Compared with a human-computer method,the results from the mathematical model and hybrid algorithm have a better performance of high production and energy-saving efficiency.
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Key words:
- hot rolling /
- planning /
- traveling salesman problem /
- genetic algorithms /
- tabu search
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