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The impact of loss sensitivity on a mobile phone supply chain system stability based on the chaos theory

机译:基于混沌理论的损失敏感性对手机供应链系统稳定性的影响

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Highlights We study the influence of the loss sensitivity and decision adjustment speed on the market stability. We extend the single-retailer model to a multi-retailer model to explore how the competition and the number of retailers affect the multidimensional system stability. We compare the different effects of the decision adjustment rules on the system stability. We present the harm of a chaotic system in the decision-making and the accumulated profits and show the importance of the system stability. Abstract This paper, based on the China’s communications and the current situation of the mobile phone industry, focuses on the stability of a supply chain system that consists of one supplier and one bounded rational retailer. We explore the influence of the decision makers’ loss sensitivity and decision adjustment speed on the stability of the supply chain. It is found that when the retailer is not sensitive to the loss or adjusts decisions cautiously, the system can be stable. The single-retailer model is extended to a multi-retailer one to study the influence of competition on the system stability. The results show that the market share of each retailer does not affect the system stability when it is fixed. The decision of each retailer does not affect that of any other retailer and the system stability. We present two decision adjustment rules (“bounded rationality expectation (BRE)” and “adaptive exponential smoothing (AES)”) and compare their performances on the system stability, and find that the AES rule does not affect the system stability, while the BRE rule will make the system stability be sensitive to the retailers’ loss sensitivity and the decision adjustment speed. We also reveal the unstable system’s negative impact on the retailers’ decisions and profits, to emphasize the importance to maintain the system stability.
机译: 突出显示 我们研究了损失敏感性和决策调整速度对市场稳定性的影响。 我们将单零售商模型扩展为多零售商模型,探索竞争和零售商数量如何影响多维系统的稳定性。 我们比较了决策调整规则对系统稳定性的不同影响。 我们介绍了混沌系统在决策和累积利润中的危害,并展示了系统稳定性的重要性。 摘要 本文基于中国的通讯和手机行业的现状,着重于供应链系统的稳定性由一个供应商和一个有界理性零售商组成。我们探讨了决策者的损失敏感性和决策调整速度对供应链稳定性的影响。发现当零售商对损失不敏感或谨慎地调整决策时,系统可以稳定。将单零售商模型扩展到多零售商模型,以研究竞争对系统稳定性的影响。结果表明,固定后,每个零售商的市场份额都不会影响系统的稳定性。每个零售商的决定不影响任何其他零售商的决定和系统稳定性。我们提出了两个决策调整规则(“有界合理期望(BRE)”和“自适应指数平滑(AES)”,并比较了它们在系统稳定性方面的性能,发现AES规则不影响系统稳定性,而BRE规则将使系统稳定性对零售商的损失敏感性和决策调整速度敏感。我们还揭示了不稳定的系统对零售商的决策和利润的负面影响,以强调维持系统稳定性的重要性。

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