NDLI: Using simulation and daily-demand method to analyze the capacity utilization for product-mix in semiconductor fabrication

Content Provider	IEEE Xplore Digital Library
Author	Ming-Hsin Hung Edward Wang Ivan Wang
Copyright Year	2002
Abstract	This paper focuses on how to use Daily-Demand Method (DDM) to translate a simulation model into a capacity analysis model, which can be manipulated on finding the maximum capacity of product-mix, prediction of bottlenecks and optimization of capacity. Using DDM not only can consider the variant limitations of semiconductor fabrication but also improve the run time of simulation. In comparison to a steady-state simulation, DDM can save time from hours to less than 10 minutes. This methodology has successfully implemented at MXIC Fab-2 from Jul 2002. In this paper, we provide several examples of Fab-2's application, as well as the findings of capacity utilization.
Sponsorship	Taiwan Semicond. Ind. Assoc. (TSIA) IEEE Electron Devices Soc. Taipei Chapter IEEE Electron Devices Soc. Committee for Precision Machinery Ind. Dev. MOEA Semicond. Ind. Promotion Office Ind. Dev. Bureau, MOEA
Starting Page	302
Ending Page	306
File Size	248866
Page Count	5
File Format	PDF
ISBN	0780376048
DOI	10.1109/SMTW.2002.1197453
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2002-12-11
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Analytical models Fabrication Predictive models Semiconductor device modeling Distributed decision making Throughput Steady-state Manufacturing industries Costs Production facilities
Content Type	Text
Resource Type	Article

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