Function Degradation and Reliability Analysis Using Markov Chain for Reuse Strategies of Product Families
Abstract
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.
Recommended Citation
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.
Department(s)
Mechanical and Aerospace Engineering
Second Department
Engineering Management and Systems Engineering
Sponsor(s)
National Science Foundation (U.S.)
Keywords and Phrases
Artificial Intelligence; Neural Networks
Document Type
Article - Conference proceedings
Document Version
Citation
File Type
text
Language(s)
English
Rights
© 2000 American Society of Mechanical Engineers (ASME), All rights reserved.
Publication Date
01 Jan 2000