摘要 台灣隨著經濟全球化市場高度競爭、國內市場漸趨飽和…等因素,外銷市場已為台灣最重要之主力。於中、低階塑膠射出成型機製造業,產業競爭壓力,如印度、韓國、中國大陸低價衝擊,原物料價格上漲的壓力,導致產業市場壓縮的窘境,著眼於接近需求市場與降低成本,部份廠商進行對岸設廠生產製造,但仍無法脫離中國大陸蓬勃發展同業的競爭。 反觀內需市場最大的電子高科技廠,高階高單價塑膠射出成型機,仍以德、日進口機械為大宗,主要著眼於技術水準、機械品質、產品穩定性均非其他國家可比擬的,可見提升產品水準,商機仍無可限量,故現況台灣塑膠射出成型機業界,唯有進行產品製造水準提升,方能延續競爭力。 為提高產品水準,唯有對產製品能量熟悉,方能提供滿足客戶的產品。本實驗過程為進行機台動態測試,透過統計製程管制SPC (Statistical Process Control)技術,於塑膠射出成型機製造產線末端運用網路連結,擷取塑膠射出成型機動作訊號資料,於遠端伺服器電腦,使用運算工具,將擷取數據進行統計製程判讀,對於油壓、機械、電控綜合操作檢驗,進行射出成型機性能之重現性確認、異常判斷與對策處理、降低塑膠射出成型機機械差異,可令製造生產單位,對於機台調適與品檢單位檢驗之依歸,期能降低機台差異性,達到提升機台品質之目標。
Abstract Due to high competition of global economic markets, domestic markets getting saturated, … etc., export-trading markets have being economic main force of Taiwan. Also, between middle and low level plastic injection molding machine manufacturers, the enterprise competition pressure, such as lower price impacts in India, Korea, and China; and gradually-raised material price, has caused awkward situation among enterprise markets. Even though lowering costs by focused on demanding market, and building factories on opposite bank, still unable to depart from connections of developing business in China. While looking at biggest electronic high-tech factories, most of the plastic mold injection machines are imported from Europe and Japan. This is because their technology class, machine quality, and product stabilization aren’t beaten-able by other countries. From this point, by improving product quality, there’s no boundaries of market. As the result, the only way to last competition ability among Taiwan plastic mold injection enterprise is to improve manufacturing quality. In order to improve product quality, it’s necessary to get familiar with production efficiency first so that we can provide customers satisfied products. This experiment would use SPC(Statistical Process Control) technical method on a operating machine. Internet cable would be connected via plastic mold injection machine terminal, and machine signals/data would be captured and transmitted to server computer. By applying mathematical tools, the captured data would be processed for statistical analysis. These analyses contain hydraulic, mechanical, electrical examinations; machine performance re-occurrence; abnormality diagnosis and solutions; and reducing machine diversity. The goal is to set up machine adjustment and quality control standard, and then reduce machine diversity and ultimately improve machine quality.