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Research on Supply Chain Stability Driven by Consumer’s Channel Preference Based on Complexity Theory

机译:基于复杂性理论的消费者渠道偏好驱动供应链稳定性研究

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摘要

At present, most of the manufacturers are increasingly laying emphasis on dual-channel selling. The level of consumer’s preference is diverse with different channels. This study discusses a supply chain where one common manufacturer uses two different channels to sell product. The bounded rationality expectation has been applied to explore the decision-making mechanism in finalizing the wholesale prices and sales commissions for the manufacturer and retailers. In addition, the dynamic features of the system are simulated by 2D bifurcation diagram, the largest Lyapunov exponent, attractor variation, and time series. The simulation results suggest that if the adjustment speeds of the wholesale prices and sales commissions change drastically, the system would fall into a chaotic state. If the consumers prefer the online channel, the wholesale prices and sales commissions may be raised and vice versa. However, too strong preference of each channel will make the system appear to have a considerably periodic fluctuation, even chaos. In the meantime, the parameter adjustment method can help make the periodic or chaotic system go back to stability. Therefore, the significance of this study is with a practical meaning to make better pricing strategy for players in dual-channel selling supply chain system.
机译:目前,大多数制造商越来越重视双渠道销售。消费者的偏好水平因渠道而异。这项研究讨论了一个供应链,其中一个常见的制造商使用两种不同的渠道来销售产品。有限理性预期已被用于探索最终确定制造商和零售商的批发价格和销售佣金的决策机制。另外,通过二维分叉图,最大的李雅普诺夫指数,吸引子变化和时间序列对系统的动态特征进行仿真。仿真结果表明,如果批发价格和销售佣金的调整速度急剧变化,系统将陷入混乱状态。如果消费者更喜欢在线渠道,则可能会提高批发价格和销售佣金,反之亦然。但是,每个通道的偏好过强都会使系统出现周期性的波动,甚至出现混乱。同时,参数调整方法可以帮助使周期或混沌系统恢复稳定。因此,本研究的意义在于为双渠道销售供应链系统中的参与者制定更好的定价策略具有实际意义。

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