Abstract
Abstract Orders in factories can be separated into two categories : rush orders and normal orders. Normal orders can be processed in regular steps, while rush orders must be dealt in higher priority to satisfy the rush customers. From the view of the manufacturer, they may consider some factors such as the remaining capacity, the disturbance of regular schedule and the arrangement of due date before accepting the rush orders. This study will try to decide the proper proportion of rush orders based on benefit in long-term planning. We use SiMPLE++ to establish the production environment. By using simulation, we collect the related information of normal and rush orders, including average production cycle time, production cycle time deviation and output in various proportion of rush orders during 26 weeks. We use these information to evaluate the affects to original production system in order to decide the price of rush order. We further introduce the benefit model, which considers the benefit of rush and normal orders, the penalty and additional inventory costs of normal orders, the emergency order cost of rush orders. Finally, we find the proportion of rush orders that gains the most profit to be the tool of the manufacturer to determine the production strategy.摘要 iAbstract ii致謝辭 iii目錄 vi圖目錄 viii表目錄 ix第一章 緒論 11.1 研究背景與動機 11.2 研究目的與限制 21.3 研究方法與架構 2第二章 文獻探討 42.1 工件排程相關文獻 42.2 以產能為基礎的相關文獻 52.3 半導體業之求解模式相關文獻 62.4 其他重要因子相關文獻 72.5 SiMPLE++ 7.0介紹與相關文獻 9第三章 模式構建 113.1 問題描述 113.1.1 緊急訂單的定義及影響 113.1.2 緊急訂單比例的定義 113.2 模擬分析 123.3 生產系統環境介紹 123.4 研究架構 133.4.1 決定在製品 133.4.2 進行模擬 153.4.3 數據分析 163.4.4 評估緊急訂單價格 183.4.5 計算訂單數量 183.4.6 計算利潤 193.4.7 比較結果 21第四章 實例驗證 224.1 模擬環境建立 224.2 各種緊急比例之下利潤分析研究 244.2.1 決定在製品 244.2.2 進行模擬 264.2.3 數據分析 304.2.4 評估緊急訂單價格 324.2.5 計算訂單數量 334.2.6 計算利潤 354.2.7 比較結果 36第五章 結論與建議 385.1 緊急訂單最適比例結論 385.2 未來研究方向建議 38參考文獻 40附錄一 工作站資料 42附錄二 製程資料 43附錄三 機器當機與保養資料 47