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Information management strategies and supply chain performance under demand disruptions

机译:需求中断下的信息管理策略和供应链绩效

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The operations management literature presents inadequate comprehensive understanding on information management strategies of mitigating supply chain disruption risks. By using control theory modelling and simulation, this study compares the disruption mitigation effects of three information management strategies. From the aspect of stability, the existing stability boundaries are revised by a new method in a two-echelon case. It shows that supply chains (SC) with popular information management strategies are not evidently more stable than traditional ones. From the aspect of disruption recovery time, an innovative two-echelon swiftest response problem under these information management strategies is formulated and solved. Results show that a collaborative planning, forecasting and replenishment (CPFR) SC with complete SC information performs the best. However, in a later operational risk mitigation test, an information sharing (IS) SC with partial information has the smallest bullwhip effect. From the aspect of demand amplification and frequency response, an innovative frequency-response plot of order amplification is proposed in a time-continuous SC with moving average forecasts. It implies the best frequency response for concurrently mitigating both operational and disruption risks coming from a CPFR SC. But for a certain SC structure there is still a balance between mitigating bullwhip effect and quick response. Moreover, it also implies that anti-bullwhip should exist in a certain condition, as realised in our numerical experiments.
机译:运营管理文献对缓解供应链中断风险的信息管理策略的理解不足。通过使用控制理论建模和仿真,本研究比较了三种信息管理策略的缓解干扰效果。从稳定性的角度出发,在两级情况下,通过新方法修改了现有的稳定性边界。它表明具有流行信息管理策略的供应链(SC)显然没有比传统的稳定。从中断恢复时间的角度,提出并解决了在这些信息管理策略下创新的两级最快响应问题。结果表明,具有完整SC信息的协作计划,预测和补货(CPFR)SC表现最佳。但是,在以后的操作风险缓解测试中,带有部分信息的信息共享(IS)SC具有最小的牛鞭效应。从需求放大和频率响应的角度出发,提出了一种具有移动平均预测的连续时间SC中阶跃放大的创新频率响应图。它暗示了最佳的频率响应,可同时缓解CPFR SC带来的操作风险和中断风险。但是对于特定的SC结构,在减轻牛鞭效应和快速响应之间仍然存在平衡。而且,这也暗示了反牛鞭应该在一定条件下存在,正如我们的数值实验所实现的那样。

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