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A Study on Decision Model of Bottleneck Capacity Expansion with Fuzzy Demand

机译:模糊需求的瓶颈产能扩张决策模型研究

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After the network has been constructed, with the increasing demand, the network must be faced with the capacity expansion problem. In this paper, a mathematic model is formulated to solve the bottleneck capacity expansion problem of network with fuzzy demand. A linear program model with fuzzy coefficient is put forward. We present a decomposition algorithm to solve the model. The results show the decomposition algorithm can improve the solving speed greatly. So, we can minimize the expansion cost and provide evidence for the decision maker to make reasonable and effective decision.
机译:在网络构建之后,随着需求的增长,网络必须面临容量扩展的问题。本文建立了一个数学模型来解决具有模糊需求的网络的瓶颈容量扩展问题。提出了具有模糊系数的线性规划模型。我们提出一种分解算法来求解模型。结果表明,该分解算法可以大大提高求解速度。因此,我们可以将扩展成本降到最低,并为决策者做出合理有效的决策提供依据。

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