A study on fuzzy multi-objective optimization decision making of redundancy allocation of series system

• Main Authors: Chen Chien-Hung, 陳建宏
• Other Authors: Hsu Sung-May
• Format: Others
• Language: zh-TW
• Published: 1998
• Online Access: http://ndltd.ncl.edu.tw/handle/64015787321062381983

碩士 === 國立臺灣科技大學 === 管理技術研究所 === 86 === In the research of reliability engineering, reliability of a system canbe improved by using redundant components. But under many circumstance, wehave to face vairous difficulties to decide optimal redundancy allocation.For example, it is conflicting to improve the reliability of the system andto reduce the cost of the system simultaneously. Decisions on the use of redundancy to assure product reliability are typically made in early phases of a project, well before design details required for the usual reliabilitypredictions are available, and various kinds of uncertanties are involved in early phases of a project, i.e. the reliability and the cost of thecomponents. This paper aims at these uncertanties and uses fuzzy numbers to represent the reliability and the cost of the components. By the measure of the degree of satisfaction and the adjustment of the objective weights, we can establishand solve optimal redundancy allocation problem with two or more objectives. The main contributions of this paper are:1. Build a mathematical model to obtain the optimization of redundancy allocation by using the concepts of fuzzy set to the degree of satisfaction of the objective function and the objective weight.2. Use possibility distribution to replace probability in describing the reliability and the cost of the system so that the intervals of the reliability and the cost of the system demonstrate the flexibility of possibility theory.