陳彥杰

Yen-Chieh Chen

碩士論文 (2005)

功能特徵與工程規格為基之設計參考模式擷取技術研發

Development of Technology for Functional Feature and Engineering Specification-based Reference Design Retrieval

關鍵字 Keywords

基因演算法, 工程知識管理, 自適應共振理論, 模糊自適應共振理論

Fuzzy adaptive resonance theory, Genetic algorithm, Engineering knowledge management, Adaptive resonance theory

摘要

工程設計為一知識密集之流程，其主要活動包括概念設計、細部設計、工程分析、組裝分析、流程設計以及執行評估。每一活動之執行與完成均須使用不同層次的工程知識與經驗。這些工程知識與經驗是否能夠有效且即時的分享，對於產品開發時程、成本、品質以及產品的市場競爭力均會造成莫大之影響。因此，有效的提供工程設計人員不同層次之知識擷取模式（包括顧客需求為基之知識擷取模式、產品功能需求為之知識擷取模式、功能特徵為之知識擷取模式以及工程規格為基之知識擷取模式），使得產品資訊與工程知識能有效地被分享與運用，以提昇產品開發與設計之效率，實為工程知識管理活動重要關鍵之一。 　　本研究之主要目的在利用整合性之分群方法來發展一以「功能特徵與工程規格為基之參考設計擷取機制」，以使工程設計人員能依據產品「功能特徵、特徵關係與工程規格」之描述，從歷史設計案例儲存庫中找尋到最近似之設計案例，以供設計參考，進而達到縮短產品設計時程及提昇設計效率之目的。

Abstract

Engineering Design is a knowledge intensive process, including conceptual design, detailed design, engineering analysis, assembly design, process design, and performance evaluation. Each of these tasks involves various aspects of knowledge and experience. Whether this knowledge and experience can be effectively shared is a key factor for increasing product development capability and quality, and also for reducing development cycle time and cost. Consequently, offering engineering designers various query models for retrieving engineering knowledge is one of the most important tasks in engineering knowledge management. Meanwhile, the query models for retrieving engineering knowledge include customer requirement-based knowledge retrieval, functional requirement-based knowledge retrieval, functional feature-based knowledge retrieval, and engineering specification-based knowledge retrieval. 　The objective of the research is to develop a technology for functional feature and engineering specification-based reference design retrieval, based on an integrated clustering approach to facilitate engineering designer with easy access to relevant design and other knowledge based on the descriptions of functional features, feature relationships, and engineering specifications. 　The results of this study will enable product information and engineering knowledge sharing in engineering design and subsequently reduce development cycle time and ultimately increase design efficiency.