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.
Second-hand market, Reverse supply chain, Bayesian updating, Fuzzy set theory, sensors
Manufacturing processes, Sensors
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Society of Photo-Optical Instrumentation Engineers
Pochampally, Kishore K.; Vadde, Srikanth; Kamarthi, Sagar V.; and Gupta, Surendra M., "Beyond sensor-assisted diagnosis of used products" (2004). . Paper 23. http://hdl.handle.net/2047/d10003368
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