Paper
8 December 2004 Beyond sensor-assisted diagnosis of used products
Author Affiliations +
Proceedings Volume 5583, Environmentally Conscious Manufacturing IV; (2004) https://doi.org/10.1117/12.571543
Event: Optics East, 2004, Philadelphia, Pennsylvania, United States
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.
© (2004) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Kishore K. Pochampally, Srikanth Vadde, Sagar V. Kamarthi, and Surendra M. Gupta "Beyond sensor-assisted diagnosis of used products", Proc. SPIE 5583, Environmentally Conscious Manufacturing IV, (8 December 2004); https://doi.org/10.1117/12.571543
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CITATIONS
Cited by 4 scholarly publications.
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KEYWORDS
Fuzzy logic

Sensors

Manufacturing

Safety

Smart sensors

Data centers

Raw materials

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