運用系統模擬求解動態產能規劃問題 –以半導體測試廠預燒部門為例

Using Simulation Approach in Solving a Dynamic Capacity Planning Problem–A case study on the Burn-in area of a Semiconductor Testing Factory

張至成(Chih-Cheng Chang)

指導教授 ： 張玉鈍

國立臺北科技大學/管理學院/工業工程與管理研究所/碩士(2008年)

https://doi.org/10.6841/NTUT.2008.00352

摘要

本研究以北台灣某公司的預燒部門為研究對象，利用模擬方式建構模型。針對IC批量抵達狀態不同設計出三種投入情境，分別為實際抵達狀態、抵達狀態變動大及抵達狀態變動小，並設計上下料區產能配置不同之四種情境，實驗在不同情境組合下，以動態產能規劃（dynamic capacity planning；DCP）重新配置預燒爐區設備產能，在績效指標為所有材料平均週期時間加總( ，i為材料種類，i=1~N種)下與未採用動態產能規劃之模型做比較，實驗結果發現上下料區情境三在不同投入情境下在 改善率皆有不錯表現，其平均改善率為5.53％。採用DCP重新配置預燒爐區設備產能，各情境組合下其 改善率在0.53％∼9.29％之間，表示在投入狀態不穩定、上下料區配置情境不同下，DCP仍舊能縮短材料的生產週期時間。

關鍵字

預燒 ； 動態產能規劃 ； 系統模擬

並列摘要

The subject of this research is the burn-in department of a company in the northern Taiwan. We use system simulation to construct our model. Based on the variety of product-mix, we design three scenarios. They are corresponding to the actual situation、large variaty of arrival and small variaty of arrival.We also design four scenarios in load and unload area. Under the combinations of different
scenarios,we use dynamic capacity planning (DCP) to reconfigure the capacity of
Burn-in ovens compare with the result which didn’t use DCP with performance
indicator .
The result shows the load and unload area in scenario three performs well in
variety of order arrival, with improvement rate reaching 5.33%. In
addition, all combinations of scenarios using DCP to reconfigure the capacity of Burn-in ovens perform better than those that didn’t use DCP with improvement rate from 0.53％ to 9.29％.

並列關鍵字

Burn-in ； Dynamic Capacity Planning ； System Simulatio

參考文獻

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