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  • 學位論文

建構F2-QFD於新產品開發之分析-以E-Tag為例

Application of F2-QFD in New Product Development-A Case Study of E-Tag

指導教授 : 黃博滄
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摘要


美國有線電視新聞網(Cable News Network, CNN)於2004年時提到,無線射頻辨識技術(Radio Frequency Identification, RFID)將成為未來十大值得觀察重要技術之一。台灣於2014年國道高速公路也將全面邁向電子計程收費的服務,所利用的即為無線射頻辨識系統。電子標籤(electrical tag, e-Tag)是電子計程收費系統中車用型的電子標籤,將e-Tag貼於車燈或車窗上方民眾可在不停車、不使用現金、更安全的環境下利用電子扣款的方式繳交費用。e-Tag屬於新開發的電子標籤產品,目的為取代舊式的e通機,以及供給一般民眾使用。 根據學者研究調查的數據顯示,企業新開發的產品失敗率高達46%。新產品上市後的失敗率也高達75%以上,因此必須將產品開發的每一個環節可能失敗的風險降至最低,才可提高產品開發成功機率。因此本研究將發展一套F2-QFD的系統流程建立,其內容為利用模糊層級分析法(Fuzzy analytic hierarchy process, FAHP )蒐集客戶客觀權重,利用失效模式與效應分析(Failure Mode & Effect Analysis, FMEA)計算風險優先指標(Risk Priority Number, RPN),最後使用品質機能展開(Quality Function Deployment, QFD)做整合找出需要改善的工程技術項目,並將其回饋到產品設計面,以降低產品開發的風險提高產品開發成功率。

並列摘要


In 2004, Cable News Network(CNN) mentioned that the Radio Frequency Identification(RFID) will become one of the important technologies in future. The highway Electric Toll Collection which was launched in Taiwan in 2014 uses exactly the RFID technology. The electrical tag (e-Tag) is a label use in electric collection system, which is stuck on the headlamp or windows of car then the populace can pay the fee without parking the car, using the cash and also in more safety environment. The e-tag is one of the new developed electrical labels in order to substitute for the out of date Electric Toll Collection machine. According to the research statistics, the failed probability of new product development is up to 46%, and the failed probability of launched product is also up to over 75%. As a result, during the every new product development procedure, the risk of failure should be decreased, and the probability of success should be raised. This research will establish a new F2-QFD system procedure that applies the Fuzzy Analytic Hierarchy Process (FAHP) to collect the objective weight, and also used the Failure Mode & Effect Analysis (FMEA) to calculate the Risk Priority Number (RPN). Finally, it utilized the Quality Function Deployment (QFD) to integrate and find the engineering targets which need to be improved, then put the result give back to the design to lower the failure risk of new product development.

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