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題名：電腦輔助產品造形、色彩設計與客製化商務系統建構之研究
作者：蔡宏政 引用關係
作者(外文)：Hung-Cheng Tsai
校院名稱：國立成功大學
系所名稱：工業設計學系碩博士班
指導教授：蕭世文
學位類別：博士
出版日期：2004
主題關鍵詞：色彩計劃；產品造形；產品客製化；產品設計；color planning；product customization；product form；product design
原始連結：連回原系統網址new window
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由於數值化加工製造技術的進步與成熟，在我們日常生活中的許多消費型產品，其機能層面已臻成熟發展階段。相對的，處於今日市場激烈競爭與產品生命週期極為短暫的環境之下，對於以開發新產品為重心的產業而言，有關產品的造形與色彩設計開發，益發顯得格外重要。但是，產品的造形與色彩關乎個人主觀的意象感覺認知，並不容易以一般的數量化方法進行研究分析。
一般而言，工業設計師依據個人過去的刻板設計經驗進行黑箱式的產品概念設計作業。因此，為了輔助設計師能夠以較有效率且客觀的方式進行設計活動，本論文提出系統性的產品色彩計劃與造形設計方法，針對產品造形與色彩，建立一套關聯對應之意象評價模式。此外，亦針對消費者需求導向之基本理念，建立一套客製化產品量身定做服務的決策模式，輔助消費者選購合適的商品。
在本論文所提出的研究方法中，分別應用模糊理論、灰色理論、倒傳遞類神經網路、遺傳基因演算法與層級分析法等方法論，針對消費者對於產品意象或需求等不確定性問題，建立系統之關聯、評價、搜尋與決策模式。並將建立之方法論導入適當的產品案例並予以程式化，據此發展成一套網路輔助產品色彩計劃、造形設計與客製化商務系統，以驗證其實務上之可行效能。藉由此輔助介面，設計師可經由設計參數的設定，迅速獲得有關產品造形與色彩設計的具體建議；並且消費者更可透過客製化的服務介面，將輸入的產品需求，量身轉換為最佳化的商品模組選購建議。
Due to the remarkable advances achieved in numerically–controlled machining technology for product manufacture, the functional aspects of many of the consumptive products used in our daily lives are now fully matured. Subsequently, for enterprises seeking to develop new products in today’s highly competitive marketplace, which is characterized by short product life cycles, the apparent style of a product, i.e. its form and color, has assumed an ever-increasing importance. However, it is difficult to ascertain an individual’s psychological reaction to a particular product style from conventional numerical approaches.
In general, industrial designers tend to utilize their own particular stereotyped design experiences when generating novel design concepts, and these experiences are still regarded as something of a black box. To assist designers in performing their design activities more efficiently and objectively, this dissertation presents several systematic methods for product-color planning and form design based upon database resources describing the relationships between product styles and their corresponding perceptual image evaluations. Additionally, a decision-making approach for consumer-orientated product customization services is proposed to assist consumers in purchasing their required products.
By applying the theorems of fuzzy set theory, gray theory, back-propagation neural networks, genetic algorithms, and the analytic hierarchy process method on the proposed methods, it is possible to solve problems of uncertainty and to construct models of the product image relationship, and of the evaluation, searching, and decision-making algorithms associated with a consumer’s psychological feelings towards a particular product. An automatic web-aided product-color planning, form design, and product customization system is constructed on the basis of the developed methods and associated algorithms. Several consultative interfaces are established for the specified case studies to demonstrate the effectiveness of the developed system. Using these interfaces, the designer can obtain the embodied design suggestions of a particular product form and color by providing the required design parameters, and the consumer can acquire a customized product from the optimized combination of alternatives which match his or her inputted requirements.
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