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首页> 外文期刊>European Journal of Operational Research >Capacity augmentation of a supply chain for a short lifecycle product: A system dynamics framework
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Capacity augmentation of a supply chain for a short lifecycle product: A system dynamics framework

机译:短生命周期产品的供应链容量增强:系统动力学框架

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For an innovative product characterized by short product lifecycle and high demand uncertainty, investment in capacity buildup has to be done cautiously. Otherwise either the product's market diffusion is impeded or the manufacturer is left with unutilized capacity. Using the right information for making capacity augmentation decisions is critical in facing this challenge. In this paper, we propose a method for identifying critical information flows using the system dynamics model of a two-echelon supply chain. The fundamental premise of system dynamics methodology is that (system) structure determines (its) behavior. Using loop dominance analysis method we study the feedback loop structure of the supply chain system. The outcome is a set of dominant loops that determine the dynamics of capacity growth. It is revealed that the delivery delay information has little effect while the loop that connects retail sales with production order affects the dynamics significantly. Modifying this loop yields appropriate capacity augmentation decisions resulting in higher performance. What-if analyses bring out effects of modifying other structural elements. In conclusion, we claim that the information feedback based methodology is general enough to be useful in designing decision support systems for capacity augmentation. The limitations of the model are also discussed and possible extensions identified. (c) 2006 Elsevier B.V. All rights reserved.
机译:对于具有较短产品生命周期和高需求不确定性的创新产品,必须谨慎进行能力建设方面的投资。否则,要么阻碍产品的市场传播,要么使制造商的生产能力未得到利用。使用正确的信息来制定能力扩充决策对于应对这一挑战至关重要。在本文中,我们提出了一种使用两级供应链的系统动力学模型来识别关键信息流的方法。系统动力学方法论的基本前提是(系统)结构决定(其)行为。使用回路优势分析方法,我们研究了供应链系统的反馈回路结构。结果是一组决定能力增长动态的主导循环。结果表明,交货延迟信息几乎没有影响,而将零售与生产订单联系起来的循环则对动力学产生了显着影响。修改此循环会产生适当的容量增加决策,从而提高性能。假设分析会带来修改其他结构元素的效果。总之,我们认为基于信息反馈的方法足够通用,可用于设计能力增强的决策支持系统。还讨论了模型的局限性,并确定了可能的扩展。 (c)2006 Elsevier B.V.保留所有权利。

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