为新竹科技园制造智能半导体销售预测

Chen-Fu Chien, Kuo-Yi Lin
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引用次数: 4

摘要

新竹科技园(HSP)是一个高科技集群,半导体产业在台湾经济和全球供应链中起着决定性的作用。半导体产业是资本密集型产业,产能利用率显著影响半导体企业的资本有效性和盈利能力。因此,需求预测为支持需要较长交货期的产能规划和相关资本支出的战略决策提供了关键输入。本研究旨在预测HSP中半导体产业的销售情况,作为支持个别公司和政府决策的参考信号,以维持健康的生态系统。本文收集并分析了1983 ~ 2010年HSP地区半导体产业的实证数据。此外,本研究还纳入了历史事件来调整预测。结果表明,本研究在支持公司改善需求预测以及为整个半导体生态系统做出战略决策方面具有实际可行性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Manufacturing intelligence for Hsinchu Science Park semiconductor sales prediction
Hsinchu Science Park (HSP) is a high-tech cluster where semiconductor industry plays a decisive role in Taiwan's economy as well as global supply chains. Semiconductor industry is capital intensive, in which capacity utilization significantly affects the capital effectiveness and profitability of semiconductor companies. Thus, demand forecasting provides critical input to support strategic decisions of capacity planning and the associated capital expenditure that require long lead-time. This study aims to predict the sales of semiconductor industry in HSP as a reference signal for supporting the decisions of individual companies and the government to maintain a healthy ecosystem. Empirical data of semiconductor industry in HSP from 1983 to 2010 was collected and analyzed. Furthermore, this study incorporated historical events to adjust the prediction. The results have shown practical viability of this research to support companies to improve the demand forecast as well as to make strategic decisions for semiconductor ecosystem as a whole.
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