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Mathematical modelling for flows optimization within an industrial symbiosis

机译:工业共生中流量优化的数学模型

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It is no longer possible to consume and produce without trying to optimize quantities of materials used as inputs and outputs of an industrial system. Among all developed methods, the concept of industrial symbiosis seems very promising and attracting. That is the reason why, in this paper, we propose a mathematical model to optimize the allocation of material flows between firms in an industrial symbiosis.More precisely, our work is at the tactical / operational level once all possible material exchanges including water have been defined. Then, we propose a bi-objective mathematical model to maximize economic profit of firms and to maximize the symbiotic profit resulting from allocation of possible internal links in the industrial symbiosis in order to reduce the negative impact of waste and the overcapacity consumption. Simulation experiments are then conducted to study the behavior of the model based on empirical data collected from real examples. From this numerical study, an algorithm based on the ?-constraint method is proposed and the Pareto front of optimal solutions is given.
机译:如果不尝试优化用作工业系统输入和输出的材料的数量,就不可能再进行消费和生产。在所有已开发的方法中,工业共生的概念似乎非常有前途和有吸引力。这就是为什么在本文中,我们提出了一个数学模型来优化工业共生中企业之间的物质流分配。更确切地说,一旦所有可能的物质交换(包括水)都已经完成,我们的工作就处于战术/运营层面。定义。然后,我们提出了一个双目标数学模型,以最大化企业的经济利润,并最大化由于工业共生中可能的内部联系的分配而产生的共生利润,以减少浪费和产能过剩的消极影响。然后进行仿真实验,以基于从实际示例中收集的经验数据来研究模型的行为。通过此数值研究,提出了一种基于α约束方法的算法,并给出了最优解的Pareto前沿。

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