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针对废钢铁再制造生产调度问题,在考虑废钢铁再制造特殊生产工艺的前提下,构建了碳排放最小、设备利用率最高、客户满意度最优的废钢铁再制造多目标生产调度模型,并设计遗传算法进行了求解。在第一阶段对生产调度中部分变量、约束和目标函数之间的关系进行了分析,从而对模型进行简化,突出影响调度问题的主要因素,并构造了原调度问题的对称问题。第二阶段结合算例,计算了不同权重下的废钢铁再制造生产调度问题,比较分析了碳排放等目标函数对生产调度的影响,结论表明:设备利用率和碳排放在生产调度问题中具有显著的正相关关系,节能和减排具有一致性,可以其中之一作为节能减排的目标函数;为了尽快响应客户要求钢铁企业要付出更大的碳排放代价;碳排放作为目标函数并不总能显著影响生产调度问题,某些情况下,作为约束条件对生产调度的作用更显著。
Aiming at the problem of scrap steel remanufacturing and production scheduling, a multi-objective scrap metal remanufacturing scheduling model with minimum carbon emission, highest equipment utilization rate and optimal customer satisfaction is constructed on the premise of considering the special manufacturing technology of scrap steel remanufacturing Design genetic algorithm is solved. In the first stage, the relationship between some variables, constraints and the objective function in production scheduling is analyzed to simplify the model, highlight the main factors that affect the scheduling problem, and construct the symmetry problem of the original scheduling problem. In the second stage, the scheduling problem of scrap steel remanufacturing under different weights is calculated and the effects of the objective function such as carbon emission on production scheduling are calculated. The results show that the equipment utilization and carbon emission have Significant positive correlation between energy saving and emission reduction is consistent, one of which can be used as an objective function of energy-saving emission reduction; in order to respond to customer requirements steel companies to pay a greater carbon emissions; carbon emissions as an objective function is not always Can significantly affect the production scheduling problem, in some cases, as a constraint on the role of production scheduling more significant.