A Lean Upgrade for Die Casting ─ Case of Axiomatic Design

Autor: Yu-Ming Kuo, 郭育銘
Rok vydání: 2008
Druh dokumentu: 學位論文 ; thesis
Popis: 96
The product that has a fine reputation is always satisfied user demands, even design is the beginning for the product quality, but we have no appropriate approach about systematic evaluation. The Dr. Suh’s “Axiomatic Design” is just a kind of method to fill up the gap, it adapts to practice the qualitative verification and quantitative. Per axiomatic design, Suh insists on organizing these attributes to structured Functional Requirements, once Design Parameters are optimized upon, then the function characteristics perform most likely to satisfy product users. Arranging a solid frame for design objectives, the procedure for product design should be pushing along naturally with well-order, and thus operations could be much standardized. At this kind of platform, each product-concerned person can implement his/her part of works transparently. Since the design procedure is clearly deploying step by step, the concurrency of design parameters may deserve better both efficiency and effectiveness. For the review of design performance, Suh recommends two indicators “Reangularity” and “Semangularity”, which are to assess the independent extent among respectively Design Parameters and Functional Requirements. The axiomatic design also can be applied to the developmental evaluation of production technologies, and we can take the production parameters and process variables to get the design matrix. But when we get into the improvement of process, we find that the process for the developmental evaluation of production technologies must be adversed. For the case of Die Casting, in this research we use interrelationship diagram to find the flaw and its original reason. Follow the direction of reduce the Reangularity and Semangularity to find the improvement strategies, and layers upward. Finally, we get a huge improvement of product yields and machine’s capacity.
Databáze: Networked Digital Library of Theses & Dissertations