Product Arrival Prediction by Regression Analysis in Wafer Fabrication

CHUR > College of Management > Industrial Management > Seminar Papers > Item 987654321/29067

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Title:	Product Arrival Prediction by Regression Analysis in Wafer Fabrication
Authors:	杜瑩美 Tu, Ying Mei
Contributors:	工業管理學系 Industrial Management
Keywords:	晶圓製造;多元直線迴歸分析;類神經網路系統;工件到達量預測。 Wafer Fabrication;Multiple linear regression model;Neural network system;Product arrival prediction
Date:	2012
Issue Date:	2014-06-27 00:17:11 (UTC+8)
Abstract:	晶圓製造是個資本密集、製程複雜的高科技產業。由於其投資金額龐大，所以各個FAB無不努力增加其機台利用率以達最大產能，且由於晶圓製造上之種種複雜與限制因素影響下，使得生產管控十分困難。因此發展一套簡單且有效的生產行為預測模式，讓管理者可以快速掌握產線短期未來的情況，勢必對於工廠之管理績效上能有所提升。本研究利用多元線性迴歸分析模式概念進行機台工件到達量之預測。此模式將以多個機台的相關資訊作為自變數，而工件的到達量則為因變數，構建一多元線性迴歸方程式以預測一週內每天各機台工件的到達量。此外，本研究並將此模式的 In the wafer fabrication, the equipment utilization and productivity are the major objectives for all factories, due to high cost and fast depreciation on equipment. As a result of complicated processes and man-ufacturing limitations, shop floor control a
Appears in Collections:	[Industrial Management] Seminar Papers

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