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Dynamic analysis and design of a semiconductor supply chain: a control engineering approach

机译:半导体供应链的动态分析和设计:控制工程方法

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摘要

The combined make-to-stock and make-to-order (MTS-MTO) supply chain is well-recognised in the semiconductor industry in order to find a competitive balance between agility, including customer responsiveness and minimum reasonable inventory, to achieve cost efficiency while maintaining customer service levels. Such a hybrid MTS-MTO supply chain may suffer from the bullwhip effect, but few researchers have attempted to understand the dynamic properties of such a hybrid system. We utilise a model of the Intel supply chain to analytically explore the underlying mechanisms of bullwhip generation and compare its dynamic performance to the well-known Inventory and Order-Based Production Control System (IOBPCS) archetype. Adopting a control engineering approach, we find that the feedforward forecasting compensation in the MTO element plays a major role in the degree of bullwhip and the Customer Order Decoupling Point (CODP) profoundly impacts both the bullwhip effect and the inventory variance in the MTS part. Thus, managers should carefully tune the CODP inventory correction and balance the benefit between CODP inventory and bullwhip costs in hybrid MTS-MTO supply chains.
机译:按库存制造和按订单制造(MTS-MTO)组合的供应链在半导体行业中广为认可,目的是在敏捷性(包括客户响应能力和最低合理库存)之间找到竞争平衡,以实现成本效益同时保持客户服务水平。这样的混合MTS-MTO供应链可能会受到牛鞭效应的影响,但是很少有研究人员试图了解这种混合系统的动态特性。我们利用英特尔供应链模型来分析探索牛鞭产生的潜在机制,并将其动态性能与著名的库存和基于订单的生产控制系统(IOBPCS)原型进行比较。通过采用控制工程方法,我们发现MTO元素中的前馈预测补偿在牛鞭程度中起着重要作用,而客户订单去耦点(CODP)深刻影响牛鞭效应和MTS部分中的库存差异。因此,管理人员应仔细调整CODP库存校正,并在MTS-MTO混合供应链中的CODP库存和牛鞭成本之间取得平衡。

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