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Complexity Analysis and Control in Time-Delay Vaccine Supply Chain considering Cold Chain Transportation

机译:考虑冷链运输的延时疫苗供应链复杂性分析与控制

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Due to the important role of the vaccines in the prevention of global epidemics, this paper focuses on a vaccine transportation supply chain composed of one distributor and one retailer. Based on the assumption that the decision-maker does not make a decision instantaneously, we present a decision-making time-delay model. Firstly, we captured some sufficient conditions of delay-induced bifurcation for the model by regarding different combinations of the decision delay periods as the bifurcation parameters and analyzed how the speed of decision-making adjustment of distributor or retailer affects the critical point of system stability. Secondly, we made a numerical simulation on the model by using a two-dimensional bifurcation diagram, largest Lyapunov exponent, and entropy and chaotic attractor, respectively. Finally, we used two coordination methods to control chaos and compared them. The results show that when the decision delay exceeds a certain threshold, the system will lose stability or go into chaos. The precipitous speed of decision variable adjustment of the distributor or retailer will increase the entropy of the system and lead the system into a chaotic state. When the vaccine supply chain is in chaos, the effect of external control on chaos is better than that of internal control on chaos.
机译:鉴于疫苗在预防全球流行病中的重要作用,本文重点介绍了由一家分销商和一家零售商组成的疫苗运输供应链。基于决策者不会立即做出决策的假设,我们提出了一个决策时滞模型。首先,将决策延迟周期的不同组合作为分岔参数,为模型捕获了延迟诱导分岔的一些充分条件,并分析了分销商或零售商的决策调整速度如何影响系统稳定性的临界点。其次,分别使用二维分岔图、最大Lyapunov指数、熵吸引子和混沌吸引子对模型进行了数值模拟。最后,我们用两种协调方法来控制混沌,并进行了比较。结果表明,当决策延迟超过一定阈值时,系统将失去稳定性或陷入混乱。分销商或零售商决策变量调整的急剧速度会增加系统的熵,导致系统进入混乱状态。当疫苗供应链处于混乱状态时,外部控制对混乱的影响要好于内部控制对混乱的影响。

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