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Mathematical modelling for flows optimization within an industrial symbiosis

机译:工业共生内流量优化的数学建模

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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 ε-constraint method is proposed and the Pareto front of optimal solutions is given.
机译:不再可以消耗和生产,而无需尝试优化用作工业系统的输入和输出的数量。在所有开发的方法中,工业共生的概念似乎非常有前途和吸引力。这就是为什么在本文中,我们提出了一种数学模型来优化工业共生中公司之间的材料流量分配。更准确地说,我们的工作是在战术/运营层面,一旦确定了包括水的所有可能的材料交换。然后,我们提出了一个双目标数学模型,以最大限度地提高公司的经济利润,并最大限度地利用工业共生中可能内部联系的分配,以减少废物和产能消耗的负面影响。然后进行仿真实验以研究基于真实示例收集的经验数据的模型的行为。从该数值研究中,提出了一种基于ε-约束方法的算法,给出了最佳解决方案的帕累托前面。

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