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.


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


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

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Manufacturing processes, Sensors





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