Abstract
Improving Production Forecasting in the Supply Chain for the TFT-LCD Industry in Taiwan
Highlights
Forecasting is a critical part of the planning process in supply-chain enterprises, and forecasting accuracy significantly impacts supply chain risk [1]
Supply chain production forecasting is explored from the perspective of the downstream supply chain, where generalized autoregressive conditional heteroskedastic (GARCH) models are proposed for TFT-LCD production forecasting
The following conclusions can be drawn for supply chain production forecasting: First, the supply chain is a complex network that consists of suppliers, manufacturers, and other facilities, and the facilities interact each other
Summary
Forecasting is a critical part of the planning process in supply-chain enterprises, and forecasting accuracy significantly impacts supply chain risk [1]. Accurate forecasts are crucial to increase evolution and allow the distribution of ample resources for planning operations, marketing, and finances, and poor forecasts result in redundant or deficient stock for the supply chain, [3] [4]. Enterprise production both upstream and downstream can influence that of other enterprises in the supply chain. The upstream to downstream supply chain of the TFT-LCD industry can be generally considered to comprise several tiers: the material supply, component supply, TFT-LCD manufacturing, and consumer electronics firms [5].
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