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Cost forecasting of passive components for optical fiber network deployments

机译:光纤网络部署中无源组件的成本预测

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摘要

To analyze the costs of deploying any optical fiber network, it is critical to know the evolution of prices of its individual components in time. In this paper we investigate on the pricing and installation costs of several passive optical components, focusing as an example on optical fiber connectors, and present reliable data price trends for them. We then propose future costs based on parametric methods and the application of the extended learning curve model. The key contributions of this analysis are the accurate learning coefficients extracted for each type of optical component, ranging from 0.66 to 0.96 for fiber connectors or 0.88 for fiber cables, which can serve as valuable inputs to more complex, higher-level techno-economical models. Large price drops of 33% for splitters and 78% for attenuators have been also identified with these methods for the following years. © 2011 Elsevier Inc. All rights reserved.
机译:要分析部署任何光纤网络的成本,及时了解其各个组件价格的变化至关重要。在本文中,我们研究了几种无源光学组件的价格和安装成本,以光纤连接器为例,并为它们提供了可靠的数据价格趋势。然后,我们根据参数方法和扩展学习曲线模型的应用提出未来成本。该分析的关键作用是为每种类型的光学组件提取准确的学习系数,光纤连接器的精确学习系数范围为0.66至0.96,光纤电缆的范围为0.88,这些系数可以作为更复杂,更高级别的技术经济模型的有价值的输入。在接下来的几年中,这些方法还发现分流器和衰减器的价格分别下降了33%和78%。 ©2011 Elsevier Inc.保留所有权利。

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