隨著科技不斷的發展與演進，在適應市場的變化與競爭趨勢下，唯有持續開發新產品，才能讓企業永續發展與生存。在新產品開發的過程中，除了追求高品質、低成本、縮短產品開發週期、提升產品功能與技術等，如何清楚掌握顧客需求，提供可滿足客戶需求的新產品，更是現今各企業的重要議題。本研究將探討車用面板產業的新產品開發，近年來在電動車與智慧車輛的市場趨勢帶動下，促使車用面板顯示器的需求大增，而車用面板的開發週期約需2至3年，且在汽車行駛中有安全性的考量，故在規格與可靠度測試上相對於其他傳統面板，其要求條件與限制更高，因此考量到其開發過程中存在著潛在風險失效因子，將整合失效模式與效應分析(Failure Mode and Effect Analysis, FMEA)與品質機能展開(Quality Function Deployment, QFD)兩項新產品開發工具，同時考慮過程中的主觀判斷與不確定性因素，應用模糊理論概念，建立一套QFD的三階段展開模式，來掌握其關鍵設計與製程的重要性因子，並以一模糊決策模式，透過考慮成本、技術困難度與風險因子限制，來規劃求解各決策變數之執行度，以達整體顧客滿意度之最大化目標。最後將以個案公司的車用面板新產品開發為例，來驗證本研究方法之可行性與實用性。

In order to adapt to the market changes and competitive trends, along with the continuous development and evolution of science and technology, the enterprises could only develop and survive sustainably by continuously developing new products. In the process of development of new products, besides pursuing high quality, low cost, reducing product development cycle time, elevating product functions and technologies, how to clearly grasp the customer’s requirement and provide new products that could meet the customer’s requirement is also an important issue for the companies in recent years. Thus, this study discussed the development of new products in the automotive panel industry. Nowadays, under the market trend of electric vehicles and smart vehicles, the demand for automotive panel displays has greatly increased, due to the reasons that the development cycle of automotive panel would take about 2 to 3 years, there are sufficient safety considerations in car driving, and compared with the other traditional panels, the requirements and restrictions are higher in the specification and reliability test. However, by considering the potential risk failure factors in the development process, the two new product development tools, namely Failure Mode and Effect Analysis (FMEA) and Quality Function Deployment (QFD), were integrated in this study. Also, by considering the subjective judgments and uncertainties in the process and the application of the concepts of fuzzy theory, we established a three-stage deployment model of QFD to grasp the importance factors of its key design and process, and also used a fuzzy decision model to plan and solve the execution of each decision variable by taking into account the cost, technical difficulty and risk factor restrict, in order to achieve the goal of maximizing the overall customer’s satisfaction. Finally, we took the company case of the development of new product for automotive panels as an example to verify the feasibility and practicability of this research method.

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