Function Degradation and Reliability Analysis Using Markov Chain for Reuse Strategies of Product Families
Reuse is one of the most end-of-life strategies for sustainable design. This paper presents a methodology to plan reuse strategies of common modules in a product family using the concepts of function requirement, cost and life time. Markov chain model is employed to predict function degradation and reliability. A utility model is used to evaluate the preference between used modules and new modules. An example of cascading-requirement product family illustrates the main ideas of our work.
L. Jiang and V. Allada, "Function Degradation and Reliability Analysis Using Markov Chain for Reuse Strategies of Product Families," Intelligent Engineering Systems through Artificial Neural Networks, American Society of Mechanical Engineers (ASME), Jan 2000.
Mechanical and Aerospace Engineering
Engineering Management and Systems Engineering
National Science Foundation (U.S.)
Keywords and Phrases
Artificial Intelligence; Neural Networks
Article - Conference proceedings
© 2000 American Society of Mechanical Engineers (ASME), All rights reserved.
01 Jan 2000