摘 要 在台灣目前現行所謂的高科技產業中,仍以OEM替各國際大廠代工為主,因此如何在高度環境要求下,來達到縮短製造生產時間、品質維持穩定、交期短、存貨低,使供應商與客戶間雙贏乃是今日產業競爭之主流,也因此可窺見“時間、成本”重要,即為BTO/CTO生產模式。 當今BTO/CTO生產模式中,主要以生產筆記型電腦其彈性最大及條件最為嚴格,不但其所有Configurations to order 且必須完成48hrs出貨之需求,為求量產筆記型電腦,並提高生產效能,架設多條生產線,在BTO/CTO生產線及客戶的需求下對於生產線帶來無可避免的管理瓶頸。配合以上機制的改變,其他作業模式需一併調整的可能包含: 1、即時的訂單允交時程(Real Time Available-to-Promise)系統。 2、物料計劃(Material Planning)。顯而易見原物料與半成品在各個組裝中心的庫存展開計劃的重要性將與日俱增。 3、運籌計劃(Logistics Planning)。畢竟縮短整個產品生產週期的綜效遠較單純縮短實際生產製造時間來的顯著。 然而, 物料預測是達成BTO/CTO 生產及48小時出貨的關鍵.因此,本研究利用實際筆記型電腦( Notebook computer )OEM 大廠( A-computer corporation) 在BTO/CTO 彈性接單生產模式下, 建立BTO/CTO Notebook 產線forecast 迴歸預測模型,對未來OEM BTO/CTO 生產,能有效降低成本浪費,建立彈性調整產線物料機制,使產業之BTO/CTO flexible 生產更加完善.同時使成品材料庫存成本降低及broken commitment機會減少,賠償金相對減少。 此BTO/CTO 生產技術整合,使台灣的OEM 廠,產業競爭體質更健全,依不同產品線零組件得以標準化,增加共通性組件,彈性生產技術與連續性的創新,均使利潤與核心競爭力增加的機會大大提高。
Abstract In Taiwan, the primary industrial structure of many high technology companies is still to do OEM from international customer, however; under this competitive environment, the important course is how to reduce manufacture process and delivery time; how to make good quality and how to control the lower inventory, following above we can see that ” time” and “cost” are make two-win key-point between suppliers and customers. Therefore, BTO/CTO process can be developed and implemented into all high-speed industries. Now, as we know, BTO/CTO process have implemented into many Notebook computer OEM and this process will be widespread use. BTO/CTO process characteristic is a high flexibility, configuration request is not only by customer but also it need to real time to response and build, that is from order to shipping time must within 48hrs. If will fulfill BTO/CTO condition, need to follow as below; 1.Set up the real time response system and order ATP system. 2.Set the flexible MRP system. 3.Set high efficiency logistics planning system. However, Forecast is important key when you will do the above items, so my thesis study propose is to use multiple regression equation to generate an optimal solution to do BTO/CTO materials forecast plan for OEM production line and reduce inventory cost loss ,also reduce the broken commitment customer request indemnity. I collected the current the BTO/CTO order/shipping data of OEM notebook factory from 2001.April to 2001.Auguest to be sample to develop the forecast model and to test and implement 2001.SEP&OCT. The conclusion is that I found my forecast model can commit to customer request order 100%,but materials cost loss is still too high, so need to keep to study, I believe if can study an optimal solution, then will cause a great help BTO/CTO process and enhance competitity for all OEM in Taiwan.