Browse > Article
http://dx.doi.org/10.7315/CADCAM.2013.36

A Method for Evaluating Product Degradation Status Using Product Usage Data  

Shin, Jongho (Department of Design & Human Engineering, UNIST)
Jun, Hongbae (Department of Industrial Engineering, Hongik Univ.)
Cattaneo, Cedric (SAPAL, Co.)
Kiritsis, Dimitris (Department of Mechanical Engineering (STI-IGM-LICP), EPFL)
Xirouchakis, Paul (Department of Mechanical Engineering (STI-IGM-LICP), EPFL)
Publication Information
Korean Journal of Computational Design and Engineering / v.18, no.1, 2013 , pp. 36-48 More about this Journal
Abstract
In general, the product is used under several circumstances including environmental and usage conditions. According to the circumstances, the product has various performance degradation processes. In order to optimize the lifecycle of product usage, it is important to observe the degradation process and make suitable decisions on product operations. However, there are not much research works in evaluating the degree of product degradation based on product usage data. Recently, due to emerging ICT (Information and Communication Technology) technologies, it becomes possible to get the product usage data. Based on the gathered data, it is possible to analyze the degree of product degradation. The analysis of product usage data can improve product use and product design with advanced decisions. To this end, this study addresses one approach based on FMEA/FMECA method, called PDMCA (Performance, Degradation Modes and Criticality Analysis) for evaluating product degradation status and making suitable decisions.
Keywords
Degradation; FMEA; Middle of life; Product design improvement; Predictive Maintenance;
Citations & Related Records
Times Cited By KSCI : 1  (Citation Analysis)
연도 인용수 순위
1 Hu, A. H., Hsu, C. W., Kuo, T. C. and Wu, W. C., 2009, Risk Evaluation of Green Components to Hazardous Substance Using FMEA and FAHP, Expert Systems with Applications, 36(3), pp. 7142-7147.   DOI   ScienceOn
2 Thomas, V., Neckel, W. and Wagner, S., 1999, Information Technology and Product Lifecycle management, Proceedings of IEEE International Symposium on Electronics and Environment, pp. 54-57.
3 McFarlane, D. et al., 2003, Auto ID Systems and Intelligent Manufacturing Control, Engineering Applications and Artificial Intelligence, 16, pp. 365-376.   DOI   ScienceOn
4 Parlikad, A. K. et al., 2003, The Role of Product Identity in End-of-life Decision Making, Cambridge: Auto-ID Center, Institute for Manufacturing, White Paper.
5 Kiritsis, D., Bufardi, A. and Xirouchakis, P., 2003, Research Issues on Product Lifecycle Management and information tracking using smart embedded systems, Advanced Engineering Informatics, 17, pp. 189-202.   DOI   ScienceOn
6 PROMISE Project Consortium, 2004, PROMISEIntegrated Project: Annex I-Description of Work, Technical Report DoW 1.0.
7 Jun, H. B., 2010, A Study on the Concept of Product Lifecycle Management and Its Applications for Each Lifecycle Phase, Entrue Journal of Information Technology, 9(1), pp. 157-167.
8 Lee, J., et al., 2006, Intelligent Prognostics Tools and e-maintenance, Computers in Industry, 57(6), pp. 476-489.   DOI   ScienceOn
9 Wilson, R. M., 2006, Design for Maintenance, The 9th Institution of Engineering and Technology Professional Development Course on Electric Traction Systems, Manchester, UK, pp. 385-407.
10 Swanson, D. C., et al., 2000, Prognostic Modelling of Crack Growth in a Tensioned Steel Band, Mechanical Systems and Signal Processing, 14(5), pp. 789-803.   DOI   ScienceOn
11 Djurdjanovic, D., et al., 2003, Watchdog Agent - An Infotronics-based Prognostics Approach for Product Performance Degradation Assessment and Prediction, Advanced Engineering Informatics, 17(3-4), pp. 109-125.   DOI   ScienceOn
12 Jayaram, J. S. R. and Girish, T., 2005, Reliability Prediction Through Degradation Data Modeling Using a Quasi-likelihood Approach, Proceedings of Annual Reliability and Maintainability Symposium, pp. 193-199.
13 Xu, K., Tang, L. C., Xie, M., Ho, S. L. and Zhu, M. L., 2002, Fuzzy Assessment of FMEA for Engine Systems, Reliability Engineering & System Safety, 75(1), pp. 17-29.   DOI   ScienceOn
14 Cesar, A., Guimaraes, F., Marcelo, C. and Lapa, F., 2004, Fuzzy FMEA Applied to PWR Chemical and Volume Control System, Progress in Nuclear Energy, 44(3), pp. 191-213.   DOI   ScienceOn
15 Iung, B., et al., 2008, Degradation State Modelbased Prognosis for Proactively Maintaining Product Performance, CIRP Annals - Manufacturing Technology, 57(1), pp. 49-52.   DOI   ScienceOn
16 Stamatis, D. H., 2003, Failure Mode Effect Analysis: FMEA from Theory to Execution, American Society for Quality Press
17 Cattaneo, Cedric, 2006, Development of a New Approach for Product Design Improvement, Considering Middle-of-life (MOL) Data, Master thesis, Dept. of Mechanical Engineering, EPFL, Switzerland.