A Model of Capacity Deployment Timing for Advanced Processes of Semiconductor Manufacturing
Date Issued
2004
Date
2004
Author(s)
Huang, Li-Yu
DOI
zh-TW
Abstract
Technology development and product demand in high-tech industries are full of uncertainties. Since building a factory requires long lead-time and manufacturing capacity incurs high cost, capacity deployment timing is an important decision in the uncertain environment of technology development and the volatile market.
The objective of this paper is to propose a method of capacity deployment timing for advanced process technology of semiconductor manufacturing in order to decrease the capacity idle costs and the losing business chance costs. A dynamic system model based on a stochastic model of yield improvement is first presented. And then, establish an economic analysis model considering over-capacity and under-capacity costs. Finally, illustrations are given to show how to optimize capacity deployment timing with this model.
The contribution of this paper is to offer successfully the distribution of time length of development, present the method of capacity deployment timing decision, and verify its optimization. Besides, the editor also presents a proper attitude to capacity increment when the demand condition is uncertain. Because of the high uncertainties that high-tech industry will face in the future, the research results will help those firms in that industry to make better risk and strategy analyses.
Subjects
產能投資規劃
先進製程技術
半導體製造
良率學習
測試期時間長度
產能時點決策
產能擴充
Capacity Deployment Timing
Yield Improvement Models
Semiconductor Manufacturing
Capacity Increment
Advanced Process Capacity
Type
thesis