運用關聯法則技術與類神經網路於產品開發設計之研究

Applying Association-Rule Techniques and Artificial Neural Networks to Product Development

蔡介元(Chieh-Yuan Tsai) ； 張百棧(Pei-Chann Chang) ； 王錫中(Shi-Jung Wang)

《工業工程學刊》 20卷2期 (2003/03) Pp. 101-112

https://doi.org/10.29977/JCIIE.200303.0003

摘要

隨著資訊科技的日新月異，產品生命週期不斷地縮短，企業唯有快速地推出新產品，才能保有競爭優勢。同步工程(Concurrent Engineering)即是針對傳統序列式工程在開發上的缺失而衍生出的新產品管理程序，亦即在產品設計階段，就提前思考產品生命週期中可能遇到的問題如製造、裝配、成本和可靠度等因素，進而達到縮短設計時程與減少開發成本之目標。雖然同步工程的發展與研究在許多領域的整合上已有不錯的成果，然而在以「客戶需求為導向」(Design for Customer)之設計整合上則著墨不多，導致企業無法充分瞭解顧客需求及喜好的組合，開發出真正符合顧客需求的新產品。有鑑於此，本研究利用關聯法則(Association Rule)技術，分析市場中顧客之喜好產品組合資料，萃取不同的產品組合相對於客戶的影響，形成設計知識規則。同時隨著顧客喜好資料的不斷地產生與更新，關聯法則技術並無自動學習的機制，因此本研究運用類神經網路(Neural Networks)的學習能力，將舊的關聯規則與新的關聯規則作一整合，以達到動態知識回饋的目標。本文並以手機設計為例，將所挖掘的動態訊息回饋給設計人員參考，使企業能對短暫的產品生命週期做一快速的反應(Quick Response)。

關鍵字

關聯法則 ； 類神經網路 ； 同步工程 ； 產品設計

並列摘要

With the help of advanced technology, product life cycle becomes shorter and shorter. Concurrent Engineering (CE), contrast to Sequential Engineering, is a product development paradigm that considers all product life cycle activities at a time to shorten design phase and lower the cost. The activities include manufacturing, assembling, reliability, and recycling. Although CE can condense time-to-market and increases competitiveness of new products, it is found that current CE practice is not enough in customer-oriented design, so the design of product can't satisfy customers' requirements. To solve the described problems, this research applies association rule technique to analyze the customer's preference from different product combination of current market. Meanwhile, since the customer purchase data occurred constantly, this research applies Neural Networks to integrate old rules with new rules. Proposed method has been successfully implemented in cellular phone design case. It is believed that the system can feedback dynamic market information to an enterprise to achieve the goal of Quick Response (QR).

並列關鍵字

association rule ； neural networks ； concurrent engineering ； product Design

參考文獻

Agrawal, R.,Srikant, R.(1994).Proceedings of the 20th International Conference on Very Large Data Bases.Santiago de Chile:

Boothroyd, G.,Dewhurst, P.,Knight, W.(2001).Product Design for Manufacturing and Assembly.New York:Marcel Dekker, Inc..

Cooper, R. G.,Kleinschmidt, E. J.(1993).Uncovering the Keys to New Product Success.Engineering Management Review.21(4)

Fayyad, U. M.(1996).Data Mining and Knowledge Discovery: Making Sense out of Data.IEEE Expert.11(5)

Howard, J. A.(1994).Buyer Behavior in Marketing Strategy.New York:Prentice-Hall International Inc.