近年隨著科技的蓬勃與進步，電子產品與人的關係更加密切，也因產品的關係使人們生活品質越來越好，使產品在任何領域皆佔舉足輕重的地位。產品的普遍，導致產品生命週期縮短，價格也明顯降低許多，所以各大製造業者須推陳出更多元更完善的創新產品，來滿足消費者。當前的產業狀態已大不如前，若只不斷的追求降低成本，壓低工資及壓縮供貨成本，將不再是企業的主要競爭策略，反之，企業應將回歸到產品本身的發展，當然成本也需要考慮，但應推向更符合顧客需求及多元化的客制產品，並縮短產品開發流程提升產品上市的速度，才是提升企業競爭能力的首要策略。
本研究結果：因素分析了解顧客購買因素與產品造形的喜好程度，並整合目標產品建構一個數值化的參數資料，以協助設計人員利用參數數據來發展顧客導向的產品設計。運用形態建構的方法定義產品造形，並導入灰色預測系統，進行新產品造形預測，而將生成的產品造形圖面進行組裝設計分析，定義產品的裝配程序達合理化，產生最適之產品設計方案。

With the advance of technology, the relationship between people and electronic products becomes more and more closely. Electronic products are important in any fields because they make a better life of people. The prevalence of products shortens the product life cycle and drops the price.
The industries have fallen off remarkably. Reducing the cost of wage and supplier is not the dominant competitive strategies for enterprise anymore. On the contrary, the industries should return to the development of the product itself. Even though costs need to consider, the industries should make more efforts in line with customer demands, a wide range of customized products and shorten the product development process to improve competition in the market. Customer-oriented product design has become the primary strategy to enhance the competitiveness of enterprises.
In this study, factor analysis is applied to understand customer buying factors and the preference of the product form, and integration of a numerical parameter data to assist in the design parameter data to develop customer-oriented product design. The concept of grey system is also used to derivative personal preferences of the shape parameter. In addition to the form of construction method, the study defines the product form, and imports the grey prediction system, new product form prediction, and advance the product form drawing, assembly design and analysis to help the designer to consider optimum assembly process in product design.

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