Supply chain system experiences variance amplification in order replenishment and inventory level, leading to severe inefficiencies of the system. Information distortion is universally known as a fundamental reason for the variance amplification phenomenon. The purpose of this paper is to study the effect of demand information sharing in reducing bullwhip effect and improving the robustness of supply chain systems. The “automatic pipeline inventory and order-based production control system, APIOBPCS” is adopted to model supply chains with different information-sharing strategies. The stochastic factors in the supply chain system lead to poor performance in system robustness. Taguchi design is adopted to find out the optimal setting of ordering parameters in the APIOBPCS model for a robust supply chain. An extension of Taguchi design is adopted to solve the multi-response problems. The weighted signal-to-noise ratio is used as the performance index of the overall performance of the supply chain, including inventory cost, customer service level, and inventory variance amplification. The results show that full demand information transparency helps to improve the overall performance of supply chain. Furthermore, the sensitivity analysis of stochastic lead times verifies the results. This research gives some insights to improve the overall performance of supply chain via information sharing.

供应链系统在订单补货和库存水平方面经历方差放大，从而导致系统严重低效率。信息失真被普遍认为是方差放大现象的根本原因。本文的目的是研究需求信息共享在减少牛鞭效应和提高供应链系统健壮性方面的作用。采用“自动管道库存和基于订单的生产控制系统APIOBPCS”来建模具有不同信息共享策略的供应链。供应链系统中的随机因素导致系统健壮性不佳。采用Taguchi设计可以在APIOBPCS模型中找到最佳的订购参数设置，以实现稳健的供应链。Taguchi设计的扩展被采用来解决多响应问题。加权信噪比用作供应链整体绩效的绩效指标，包括库存成本，客户服务水平和库存差异放大。结果表明，完全的需求信息透明性有助于改善供应链的整体绩效。此外，随机提前期的敏感性分析验证了结果。这项研究为通过信息共享改善供应链的整体绩效提供了一些见识。结果表明，完全的需求信息透明性有助于改善供应链的整体绩效。此外，随机提前期的敏感性分析验证了结果。这项研究为通过信息共享改善供应链的整体绩效提供了一些见识。结果表明，完全的需求信息透明性有助于改善供应链的整体绩效。此外，随机提前期的敏感性分析验证了结果。这项研究为通过信息共享改善供应链的整体绩效提供了一些见识。