Beyond sensor-assisted diagnosis of used products

Title:
Beyond sensor-assisted diagnosis of used products
Creator:
Pochampally, Kishore K. (Author)
Vadde, Srikanth (Author)
Kamarthi, Sagar V. (Author)
Gupta, Surendra M. (Author)
Language:
English
Publisher:
SPIE, January 01, 2004
Type of resource:
Text
Genre:
Articles
Format:
electronic
Digital origin:
born digital
Abstract/Description:

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.

Comments:

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

Subjects and keywords:
Manufacturing processes
Sensors
Second-hand market
Reverse supply chain
Bayesian updating
Fuzzy set theory
sensors
Engineering

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