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.

Notes

Published in Proceedings of SPIE, v. 5583, Originally published in Proceedings of the SPIE International Conference on Environmentally Conscious Manufacturing IV

Keywords

Second-hand market, Reverse supply chain, Bayesian updating, Fuzzy set theory, sensors

Subject Categories

Manufacturing processes, Sensors

Disciplines

Engineering

Publisher

SPIE

Publication Date

2004

Rights Information

Copyright Society of Photo-Optical Instrumentation Engineers

Restrictions

Made available as an electronic reprint with permission of SPIE. One print or electronic copy may be made for personal use only. Systematic or multiple reproduction, distribution to multiple locations via electronic or other means, duplication of any material in this paper for a fee or for commercial purposes, or modification of the content of the paper are prohibited.

Rights Holder

Society of Photo-Optical Instrumentation Engineers


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