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Proceedings Paper

Beyond sensor-assisted diagnosis of used products
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Paper Abstract

It is difficult to obtain information regarding compositions and remaining life periods of used products. Hence, they often undergo partial or complete disassembly for subsequent re-processing (remanufacturing and/or recycling). However, researchers are now studying sensor embedded products (SEPs), the composition and remaining life of which can be obtained at the end of their use from sensors. This paper addresses decision-making regarding the futurity of an SEP at its end of use: whether to disassemble it for subsequent recycling/remanufacturing or to repair it for subsequent sale on a second-hand market. We identify some important factors that must be considered before making a decision. Using a numerical example, we propose a simple approach that employs Bayesian updating and fuzzy set theory to aid the decision-making process.

Paper Details

Date Published: 8 December 2004
PDF: 9 pages
Proc. SPIE 5583, Environmentally Conscious Manufacturing IV, (8 December 2004); doi: 10.1117/12.571543
Show Author Affiliations
Kishore K. Pochampally, Northeastern Univ. (United States)
Srikanth Vadde, Northeastern Univ. (United States)
Sagar V. Kamarthi, Northeastern Univ. (United States)
Surendra M. Gupta, Northeastern Univ. (United States)


Published in SPIE Proceedings Vol. 5583:
Environmentally Conscious Manufacturing IV
Surendra M. Gupta, Editor(s)

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