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A Study of Improvement for Performance in IC Assembly Industry-T Company as Example

半導體封裝業績效改善之研究-以T公司為例

摘要


台灣早期以農立國,隨著半導體業的崛起,經濟漸漸嶄露頭角,近20年來半導體封裝產業發展良好,在整體半導體供應鏈中扮演著重要角色,根據經濟部技術處統計產值更是占據全球第一。由於半導體封裝產業銲線站之機台種類與數量眾多,加上製程技術複雜、產能管控或排機難度高,使制定的標準產出與實際產出有所落差,而當組織對標準產出與實際產出衍生誤判時,將會因為增加標準成本與實際成本上的差異而減少獲利,故本研究目的為改善此問題,在透過相關文獻探討後,發現效率為影響產品產量之關鍵因素,因此利用效率(UR)與標準產出(UPH)的計算來預測產出並針對實際產量進行控管,最後運用MAPE來驗證方法準確度,研究結果之預測精確度可由76.13%提升至91.13%,總體預測績效可達15%的成長率,以上成果將能提供上位者正確的決策資訊。

關鍵字

效率 半導體封裝 標準產出 MAPE

並列摘要


Taiwan's economy was based on farming in the past. As the development of semiconductor industry, the economy is growing advantageously. In the recent years, IC assembly industry developed well, it played a leading role in the whole supply chain of semiconductor, the output value ranked number one in the world according to Department of Statistics Ministry of Economic Affairs.Owing to the variety types and maximum machines for Wire Bond (W/B) station in IC assembly industry, moreover, the production process is complex; also, the control of production capacity and the arrangement of machines usage are difficult that caused the difference between establishment of standard output and actual output. However, the organizational profits will reduce because of the increase for difference between standard cost and actual cost when judging wrong with regard to standard output and actual output. Accordingly, the purpose of this study is to improve this problem. After reference research this study found that efficiency was a significant factor. Thus using efficiency count (utilization rate) and standard output count (UPH) to forecast output and controlling the actual output. Lastly the forecasting accuracy of research results can be promoted from 76.13% to 91.13%. Besides, the growth rate is 15% for the overall performance. The fruitful results will provide correct decision for director.

並列關鍵字

Efficiency IC Assembly Standard Output MAPE

參考文獻


Frank B. G (1911), “A Method for Increasing the Efficiency of the Workman” Motion Study
T. Y. Wang, H. C. Pan (2011), “Improving the OEE and UPH data quality by Automated Data Collection for the semiconductor assembly industry” Expert Systems with Applications 38 5764–5773
Wikipedia (2013), “Mean Absolute Percentage Error”, the free encyclopedia http://en.wikipedia.org/wiki/Mean_absolute_percentage_e
Anandi P. , Ph.D.“forecasting”Encyclopedia of Business, 2nd ed.
IEK“The 3rd season in 2012 of semiconductor industry”, Semiconductor http://www2.itis.org.tw/NetReport/NetReport_Detail.aspx?rpno=329502719&industry =1&ctgy=1&free=1

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