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  • 會議論文

應用六標準差的專案手法改善生物產業塑膠成型產品品質不良率

A Rearch Application of Six Sigma Approach to Improving the Quality of Mo-industry, non-performing Rate of Plastic Molding Products

摘要


射出成型爲製造業重要的生產過程,具有大量製造、低成本及生產快速等優點,應用層面非常廣泛。塑膠射出成型是目前最常使用的成型技術。在進行塑膠射出成型,爲獲得最佳的塑件品質除了良好的模具設計外,尚需考慮適當的製程參數;傳統上它係依靠有經驗的技術人員,利用試誤法來找出較佳的參數組合,但此方式通常需耗費大量的時間與金錢。 本研究以塑膠射出成型產業爲實驗對象,探討製程參數組合的最佳化。應用田口方法進行實驗,本研究利用六標準差管理專案手法利用SIPOC圖與魚骨圖,找出關鍵因子與水準,搜尋出一套最佳化的製程參數。我們將針對個案公司的塑膠射出成型製程參數進行實驗設計,並且在所有的製程參數中,選定四個實驗之可控因子,分別爲保壓壓力、射出速度、模具溫度以及冷卻時間,運用田口式直交表中L9直交表進行實驗規劃。本相收集工廠原有的數據,並實際了解產品生產時可能出現的問題,利用田口實驗設計方法,期望找出產品的最佳尺寸精度,降低產品的不良率產生而提高報廢成本。就實驗研究的分析結果,期望能提供給研究對象較佳的參考依據與建議。

並列摘要


Injection molding for manufacturing an important production process, with a large volume production, low cost and production advantages of fast, the application level, very extensive. Plastic Injection Molding is the most commonly used molding technology. Conducted into the plastic injection molding in order to obtain the best quality plastic parts 了a good, comfortable addition to die design, the process still need to consider the appropriate number of participants; traditionally tied it to rely on an experienced technical staff, profit by trial and error method future to find a better combination of number of participants, but this method usually takes time and consume a great volume of money. In this study, plastic injection molding industry as subjects to explore the combination of process Parameters optimization. Application of Taguchi method of experiment, the present study, the standard deviation of six project management techniques to use SIPOC diagram and fishbone diagram to identify the key factors and the standard of searching a set of optimized process parameters. We will address the cases of the company’s plastic injection molding process parameters into the design of experiments conducted, and in all process parameters, the selected four experiments controllable factors, namely, packing pressure, injection speed, mold temperature and cooling time, using Taguchi orthogonal table L9 orthogonal table experiments conducted into the planning. Collection of plants in this group the original data, and practical understanding of production problems that may occur when using the Taguchi experimental design method, hoping to find the best products, dimensional accuracy, lower non-performing rate of products produced and the increased cost of scrap. Experimental study on the results of the analysis, hoping to provide a better frame of reference for the study and recommendations.

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